Publications
2020
- Bryn Jeffries, Timothy Baldwin, Marion Zalk and Ben Taylor (2020). Online Tutoring to Support Programming Exercises. In ACE 2020.
2019
- Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata and Rob Procter (2019). Gaussian Processes for Rumour Stance Classification in Social Media. In ACM Trans. Inf. Syst., Vol 37.
- Qingyu Chen, Xiuzhen Zhang, Yu Wan, Justin Zobel and Karin Verspoor (2019). Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions. In Journal of Computational Biology, Vol 26.
- Hamed Hassanzadeh, Anthony Nguyen and Karin Verspoor (2019). Quantifying semantic similarity of clinical evidence in the biomedical literature to facilitate related evidence synthesis. In Journal of Biomedical Informatics, Vol 100.
- Tommi Jauhiainen, Marco Lui, Marcos Zampieri, Timothy Baldwin and Krister Linden (2019). Automatic Language Identification in Texts: A Survey. In J. Artif. Intell. Res., Vol 65.
- Dat Nguyen and Karin Verspoor (2019). From POS tagging to dependency parsing for biomedical event extraction. In BMC Bioinformatics, Vol 20.
- Mohamed Bouadjenek, Justin Zobel and Karin Verspoor (2019). Automated assessment of biological database assertions using the scientific literature. In BMC Bioinformatics, Vol 20.
- Ziad Bkhetan, Justin Zobel, Adam Kowalczyk, Karin Verspoor and Benjamin Goudey (2019). Exploring effective approaches for haplotype block phasing. In BMC Bioinformatics, Vol 20.
- Rezarta Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald Comeau, Rui Antunes, Sergio Matos, Qingyu Chen, Aparna Elangovan, Nagesh Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Husunbeyi, Arzucan Ozgur, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu and Zhiyong Lu (2019). Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. In Database, Vol 2019.
- Yuan Li, Benjamin Rubinstein and Trevor Cohn (2019). Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. In WWW 2019.
- Rachel Bawden, Kevin Cohen, Cristian Grozea, Antonio Jimeno-Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurelie Neveol, Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor and Maika Navarro (2019). Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies. In WMT 2019.
- Daniel Beck, Trevor Cohn and Gholamreza Haffari (2019). Neural Speech Translation using Lattice Transformations and Graph Networks. In Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing.
- Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin (2019). Target Based Speech Act Classification in Political Campaign Text. In *SEM@NAACL-HLT 2019.
- Matthias Petri, Alistair Moffat, Joel Mackenzie, J. Culpepper and Daniel Beck (2019). Accelerated Query Processing Via Similarity Score Prediction. In SIGIR 2019.
- Haonan Li, Minghan Wang, Timothy Baldwin, Martin Tomko and Maria Vasardani (2019). UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution. In SEMEVAL 2019.
- Kaimin Zhou, Chang Shu, Binyang Li and Jey Han Lau (2019). Early Rumour Detection. In NAACL-HLT 2019.
- Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin and Jason Eisner (2019). Contextualization of Morphological Inflection. In NAACL-HLT 2019.
- Jiyu Chen, Karin Verspoor and Zenan Zhai (2019). A Bag-of-concepts Model Improves Relation Extraction in a Narrow Knowledge Domain with Limited Data. In NAACL-HLT 2019.
- Guillermo Lopez-Campos, Philip Kiossoglou, Ann Borda, Christopher Hawthorne, Kathleen Gray and Karin Verspoor (2019). Characterizing the Scope of Exposome Research Through Topic Modeling and Ontology Analysis. In MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics.
- Aili Shen, Bahar Salehi, Timothy Baldwin and Jianzhong Qi (2019). A Joint Model for Multimodal Document Quality Assessment. In JCDL 2019.
- Yuan Li, Benjamin Rubinstein and Trevor Cohn (2019). Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. In ICML 2019.
- Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan and Cecile Paris (2019). Discovering Relevant Reviews for Answering Product-Related Queries. In ICDM 2019.
- Steven Spratley, Daniel Beck and Trevor Cohn (2019). A Unified Neural Architecture for Instrumental Audio Tasks. In ICASSP 2019.
- Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin (2019). Deep Ordinal Regression for Pledge Specificity Prediction. In EMNLP-IJCNLP 2019.
- Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata and Shay Cohen (2019). Partners in Crime: Multi-view Sequential Inference for Movie Understanding. In EMNLP-IJCNLP 2019.
- Xudong Han, Philip Schulz and Trevor Cohn (2019). Grounding learning of modifier dynamics: An application to color naming. In EMNLP-IJCNLP 2019.
- Dat Nguyen and Karin Verspoor (2019). End-to-End Neural Relation Extraction Using Deep Biaffine Attention. In ECIR 2019.
- Zenan Zhai, Dat Nguyen, Saber Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory and Karin Verspoor (2019). Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. In BioNLP 2019.
- Ehsan Hamzei, Haonan Li, Maria Vasardani, Timothy Baldwin, Stephan Winter and Martin Tomko (2019). Place Questions and Human-Generated Answers: A Data Analysis Approach. In AGILE 2019.
- Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi and Timothy Baldwin (2019). Modelling Uncertainty in Collaborative Document Quality Assessment. In W-NUT@EMNLP 2019.
- Afshin Rahimi, Yuan Li and Trevor Cohn (2019). Massively Multilingual Transfer for NER. In ACL 2019.
- Nitika Mathur, Timothy Baldwin and Trevor Cohn (2019). Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. In ACL 2019.
- Yitong Li, Timothy Baldwin and Trevor Cohn (2019). Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. In ACL 2019.
- Lea Frermann and Alexandre Klementiev (2019). Inducing Document Structure for Aspect-based Summarization. In ACL 2019.
- Hiyori Yoshikawa, Dat Nguyen, Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber Akhondi, Timothy Baldwin and Karin Verspoor (2019). Detecting Chemical Reactions in Patents. In ALTA 2019.
- Zhuohan Xie, Jey Han Lau and Trevor Cohn (2019). From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. In ALTA 2019.
- Aili Shen, Bahar Salehi, Jianzhong Qi and Timothy Baldwin (2019). Feature-guided Neural Model Training for Supervised Document Representation Learning. In ALTA 2019.
- Fajri Koto, Jey Han Lau and Timothy Baldwin (2019). Improved Document Modelling with a Neural Discourse Parser. In ALTA 2019.
- Qianji Di, Ekaterina Vylomova and Tim Baldwin (2019). Modelling Tibetan Verbal Morphology. In ALTA 2019.
- Gaurav Arora, Afshin Rahimi and Timothy Baldwin (2019). Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP. In ALTA 2019.
2018
- Wei Zhang, Quan Sheng, Jey Han Lau, Ermyas Abebe and Wenjie Ruan (2018). Duplicate Detection in Programming Question Answering Communities. In ACM Trans. Internet Techn., Vol 18.
- Lea Frermann, Shay Cohen and Mirella Lapata (2018). Whodunnit? Crime Drama as a Case for Natural Language Understanding. In TACL, Vol 6.
- Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph Konstan, Pablo Castells, Elizabeth Daly, Thierry Declerck, Michael Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Linden, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn Willemsen and Justin Zobel (2018). The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. In SIGIR Forum, Vol 52.
- Simone Romano, Xuan Nguyen, Karin Verspoor and James Bailey (2018). The randomized information coefficient: assessing dependencies in noisy data. In Machine Learning, Vol 107.
- Kareem Darwish, Walid Magdy, Afshin Rahimi, Timothy Baldwin and Norah Abokhodair (2018). Predicting Online Islamophobic Behavior after #ParisAttacks. In J. Web Science, Vol 4.
- Christoph Fuchs, Daniel Beck, Bernhard Lienland and Florian Kellner (2018). The role of IT in automotive supplier supply chains. In J. Enterprise Inf. Management, Vol 31.
- Qingyu Chen, Yu Wan, Xiuzhen Zhang, Yang Lei, Justin Zobel and Karin Verspoor (2018). Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. In J. Data and Information Quality, Vol 9.
- Karin Verspoor, Bahadorreza Ofoghi and Marlene Granda (2018). CommViz: Visualization of semantic patterns in large social communication networks. In Information Visualization, Vol 17.
- Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn and Isabelle Augenstein (2018). Discourse-aware rumour stance classification in social media using sequential classifiers. In Inf. Process. Manage., Vol 54.
- Doris Hoogeveen, Li Wang, Timothy Baldwin and Karin Verspoor (2018). Web Forum Retrieval and Text Analytics: A Survey. In Foundations and Trends in Information Retrieval, Vol 12.
- Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph Konstan, Pablo Castells, Elizabeth Daly, Thierry Declerck, Michael Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Linden, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn Willemsen and Justin Zobel (2018). From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). In Dagstuhl Manifestos, Vol 7.
- Pathima Hameed, Karin Verspoor, Snezana Kusljic and Saman Halgamuge (2018). A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration. In BMC Bioinformatics, Vol 19.
- Nagesh Chandrasekarasastry, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao (2018). Exploiting graph kernels for high performance biomedical relation extraction. In J. Biomedical Semantics, Vol 9.
- Qingyu Chen, Nagesh Panyam, Aparna Elangovan and Karin Verspoor (2018). BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics. In Database, Vol 2018.
- Mariana Neves, Antonio Jimeno-Yepes, Aurelie Neveol, Cristian Grozea, Amy Siu, Madeleine Kittner and Karin Verspoor (2018). Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets. In WMT 2018.
- Timothy Baldwin (2018). Language and the Shifting Sands of Domain, Space and Time (Invited Talk). In Proceedings of the Fifth Workshop on NLP for Similar Languages.
- Yang Lu, Richard Sinnott, Karin Verspoor and Udaya Parampalli (2018). Privacy-Preserving Access Control in Electronic Health Record Linkage. In Security And Privacy In Computing And Communications / 12th IEEE International Conference On Big Data Science And Engineering.
- Yang Lu, Richard Sinnott and Karin Verspoor (2018). Semantic-Based Policy Composition for Privacy-Demanding Data Linkage. In Security And Privacy In Computing And Communications / 12th IEEE International Conference On Big Data Science And Engineering.
- Bahar Salehi, Damiano Spina, Alistair Moffat, Sargol Sadeghi, Falk Scholer, Timothy Baldwin, Lawrence Cavedon, Mark Sanderson, Wilson Wong and Justin Zobel (2018). A Living Lab Study of Query Amendment in Job Search. In SIGIR 2018.
- Anirudh Joshi, Tim Baldwin, Richard Sinnott and Cecile Paris (2018). UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing. In SEMEVAL 2018.
- Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin (2018). Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. In NAACL-HLT 2018.
- Fei Liu, Trevor Cohn and Timothy Baldwin (2018). Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. In NAACL-HLT 2018.
- Yitong Li, Timothy Baldwin and Trevor Cohn (2018). What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. In NAACL-HLT 2018.
- Maria Barrett, Ana Gonzalez-Garduno, Lea Frermann and Anders Sogaard (2018). Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing. In NAACL-HLT 2018.
- Aurelie Neveol, Antonio Jimeno-Yepes, Mariana Neves and Karin Verspoor (2018). Parallel Corpora for the Biomedical Domain. In LREC 2018.
- Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird and Alexis Michaud (2018). Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. In LREC 2018.
- Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer and Justin Zobel (2018). A Preliminary Comparison of Job, Talent, and Web Search. In Proceedings of the 9th Italian Information Retrieval Workshop.
- Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin Verspoor and Timothy Baldwin (2018). Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. In ICWSM 2018.
- Bahar Salehi, Fei Liu, Timothy Baldwin and Wilson Wong (2018). Multitask Learning for Query Segmentation in Job Search. In ICTIR 2018.
- Minghao Wu, Fei Liu and Trevor Cohn (2018). Evaluating the Utility of Hand-crafted Features in Sequence Labeling. In EMNLP 2018.
- Shraey Bhatia, Jey Han Lau and Timothy Baldwin (2018). Topic Intrusion for Automatic Topic Model Evaluation. In EMNLP 2018.
- Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher Butler and Mukesh Mohania (2018). Document Chunking and Learning Objective Generation for Instruction Design. In EDM 2018.
- Dat Nguyen and Karin Verspoor (2018). An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies.
- Zhe Ye, Fang Li and Timothy Baldwin (2018). Encoding Sentiment Information into Word Vectors for Sentiment Analysis. In COLING 2018.
- Dat Nguyen and Karin Verspoor (2018). Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings. In BioNLP 2018.
- Piyapong Khumrin, Anna Ryan, Terry Judd and Karin Verspoor (2018). DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support. In AMIA 2018.
- Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau and Timothy Baldwin (2018). Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. In NUT@EMNLP 2018.
- Taro Miyazaki, Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2018). Twitter Geolocation using Knowledge-Based Methods. In NUT@EMNLP 2018.
- Cong Hoang, Philipp Koehn, Gholamreza Haffari and Trevor Cohn (2018). Iterative Back-Translation for Neural Machine Translation. In NMT@ACL 2018.
- Shivashankar Subramanian, Timothy Baldwin and Trevor Cohn (2018). Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. In ACL 2018.
- Fei Liu, Trevor Cohn and Timothy Baldwin (2018). Narrative Modeling with Memory Chains and Semantic Supervision. In ACL 2018.
- Yitong Li, Timothy Baldwin and Trevor Cohn (2018). Towards Robust and Privacy-preserving Text Representations. In ACL 2018.
- Philip Schulz, Wilker Aziz and Trevor Cohn (2018). A Stochastic Decoder for Neural Machine Translation. In ACL 2018.
- Daniel Beck, Gholamreza Haffari and Trevor Cohn (2018). Graph-to-Sequence Learning using Gated Graph Neural Networks. In ACL 2018.
- Jean-Philippe Bernardy, Shalom Lappin and Jey Han Lau (2018). The Influence of Context on Sentence Acceptability Judgements. In ACL 2018.
- Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2018). Semi-supervised User Geolocation via Graph Convolutional Networks. In ACL 2018.
- Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke and Adam Hammond (2018). Deep-speare: A joint neural model of poetic language, meter and rhyme. In ACL 2018.
- Zenan Zhai, Dat Nguyen and Karin Verspoor (2018). Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis.
- Navnita Nandakumar, Bahar Salehi and Timothy Baldwin (2018). A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions. In ALTA 2018.
- Nitika Mathur, Timothy Baldwin and Trevor Cohn (2018). Towards Efficient Machine Translation Evaluation by Modelling Annotators. In ALTA 2018.
- Cong Hoang, Gholamreza Haffari and Trevor Cohn (2018). Improved Neural Machine Translation using Side Information. In ALTA 2018.
2017
- Julian Brooke, Jan Snajder and Timothy Baldwin (2017). Unsupervised Acquisition of Comprehensive Multiword Lexicons using Competition in an n-gram Lattice. In TACL, Vol 5.
- Yvette Graham, Timothy Baldwin, Alistair Moffat and Justin Zobel (2017). Can machine translation systems be evaluated by the crowd alone. In Natural Language Engineering, Vol 23.
- Mohamed Bouadjenek, Karin Verspoor and Justin Zobel (2017). Automated detection of records in biological sequence databases that are inconsistent with the literature. In Journal of Biomedical Informatics, Vol 71.
- Nikolaos Aletras, Timothy Baldwin, Jey Han Lau and Mark Stevenson (2017). Evaluating topic representations for exploring document collections. In JASIST, Vol 68.
- Jey Han Lau, Alexander Clark and Shalom Lappin (2017). Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge. In Cognitive Science, Vol 41.
- Pathima Hameed, Karin Verspoor, Snezana Kusljic and Saman Halgamuge (2017). Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes. In BMC Bioinformatics, Vol 18.
- K. Cohen, Arrick Lanfranchi, Miji Choi, Michael Bada, William Jr., Natalya Panteleyeva, Karin Verspoor, Martha Palmer and Lawrence Hunter (2017). Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles. In BMC Bioinformatics, Vol 18.
- Qingyu Chen, Justin Zobel and Karin Verspoor (2017). Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study. In Database, Vol 2017.
- Mohamed Bouadjenek, Karin Verspoor and Justin Zobel (2017). Literature consistency of bioinformatics sequence databases is effective for assessing record quality. In Database, Vol 2017.
- Mohamed Bouadjenek and Karin Verspoor (2017). Multi-field query expansion is effective for biomedical dataset retrieval. In Database, Vol 2017.
- Wei Zhang, Quan Sheng, Jey Han Lau and Ermyas Abebe (2017). Detecting Duplicate Posts in Programming QA Communities via Latent Semantics and Association Rules. In WWW 2017.
- Shivashankar Subramanian, Timothy Baldwin, Julian Brooke and Trevor Cohn (2017). Pairwise Webpage Coreference Classification Using Distant Supervision. In WWW Companion 2017.
- Antonio Jimeno-Yepes, Aurelie Neveol, Mariana Neves, Karin Verspoor, Ondrej Bojar, Arthur Boyer, Cristian Grozea, Barry Haddow, Madeleine Kittner, Yvonne Lichtblau, Pavel Pecina, Roland Roller, Rudolf Rosa, Amy Siu, Philippe Thomas and Saskia Trescher (2017). Findings of the WMT 2017 Biomedical Translation Shared Task. In WMT 2017.
- Damiano Spina, Maria Maistro, Yongli Ren, Sargol Sadeghi, Wilson Wong, Timothy Baldwin, Lawrence Cavedon, Alistair Moffat, Mark Sanderson, Falk Scholer and Justin Zobel (2017). Understanding User Behavior in Job and Talent Search: An Initial Investigation. In eCOM@SIGIR 2017.
- Preslav Nakov, Doris Hoogeveen, Lluis Marquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin and Karin Verspoor (2017). SemEval-2017 Task 3: Community Question Answering. In SEMEVAL 2017.
- King Chan, Julian Brooke and Timothy Baldwin (2017). Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation. In MWE@EACL 2017.
- Philip Kiossoglou, Ann Borda, Kathleen Gray, Fernando Martin-Sanchez, Karin Verspoor and Guillermo Lopez-Campos (2017). Characterising the Scope of Exposome Research: A Generalisable Approach. In MEDINFO 2017.
- Piyapong Khumrin, Anna Ryan, Terry Judd and Karin Verspoor (2017). Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students. In MEDINFO 2017.
- Fei Liu, Timothy Baldwin and Trevor Cohn (2017). Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. In IJCNLP 2017.
- Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran and Trevor Cohn (2017). End-to-end Network for Twitter Geolocation Prediction and Hashing. In IJCNLP 2017.
- Daniel Beck and Trevor Cohn (2017). Learning Kernels over Strings using Gaussian Processes. In IJCNLP 2017.
- Daniel Beck (2017). Modelling Representation Noise in Emotion Analysis using Gaussian Processes. In IJCNLP 2017.
- Ehsan Shareghi, Gholamreza Haffari and Trevor Cohn (2017). Compressed Nonparametric Language Modelling. In IJCAI 2017.
- Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood and Trevor Cohn (2017). Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. In IJCAI 2017.
- Yang Lu, Richard Sinnott and Karin Verspoor (2017). A Semantic-Based K-Anonymity Scheme for Health Record Linkage. In HIC 2017.
- Xin Li, Karin Verspoor, Kathleen Gray and Stephen Barnett (2017). Understanding Health Professionals' Informal Learning in Online Social Networks: A Cross-Sectional Survey. In HIC 2017.
- Ekaterina Vylomova, Trevor Cohn, Xuanli He and Gholamreza Haffari (2017). Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. In Proceedings of the First Workshop on Subword and Character Level Models in NLP.
- Afshin Rahimi, Timothy Baldwin and Trevor Cohn (2017). Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. In EMNLP 2017.
- Viet Nguyen, Julian Brooke and Timothy Baldwin (2017). Sub-character Neural Language Modelling in Japanese. In Proceedings of the First Workshop on Subword and Character Level Models in NLP.
- Nitika Mathur, Timothy Baldwin and Trevor Cohn (2017). Sequence Effects in Crowdsourced Annotations. In EMNLP 2017.
- Qingsong Ma, Yvette Graham, Timothy Baldwin and Qun Liu (2017). Further Investigation into Reference Bias in Monolingual Evaluation of Machine Translation. In EMNLP 2017.
- Cong Hoang, Gholamreza Haffari and Trevor Cohn (2017). Towards Decoding as Continuous Optimisation in Neural Machine Translation. In EMNLP 2017.
- Lea Frermann and Gyorgy Szarvas (2017). Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels. In EMNLP 2017.
- Meng Fang, Yuan Li and Trevor Cohn (2017). Learning how to Active Learn: A Deep Reinforcement Learning Approach. In EMNLP 2017.
- Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn (2017). Multilingual Training of Crosslingual Word Embeddings. In EACL 2017.
- Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird and Trevor Cohn (2017). Cross-Lingual Word Embeddings for Low-Resource Language Modeling. In EACL 2017.
- Yvette Graham, Qingsong Ma, Timothy Baldwin, Qun Liu, Carla Escartin and Carolina Scarton (2017). Improving Evaluation of Document-level Machine Translation Quality Estimation. In EACL 2017.
- Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras and Timothy Baldwin (2017). Multimodal Topic Labelling. In EACL 2017.
- Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin and Trevor Cohn (2017). Context-Aware Prediction of Derivational Word-forms. In EACL 2017.
- Yitong Li, Trevor Cohn and Timothy Baldwin (2017). Robust Training under Linguistic Adversity. In EACL 2017.
- Shraey Bhatia, Jey Han Lau and Timothy Baldwin (2017). An Automatic Approach for Document-level Topic Model Evaluation. In CoNLL 2017.
- Mohamed Bouadjenek, Karin Verspoor and Justin Zobel (2017). Learning Biological Sequence Types Using the Literature. In CIKM 2017.
- Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood and Trevor Cohn (2017). Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. In 2017 IEEE International Conference on Big Data.
- Bahadorreza Ofoghi and Karin Verspoor (2017). Textual Emotion Classification: An Interoperability Study on Cross-Genre Data Sets. In AI 2017.
- P. Srijith, Michal Lukasik, Kalina Bontcheva and Trevor Cohn (2017). Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. In ASONAM 2017.
- Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2017). A Neural Model for User Geolocation and Lexical Dialectology. In ACL 2017.
- Jey Han Lau, Timothy Baldwin and Trevor Cohn (2017). Topically Driven Neural Language Model. In ACL 2017.
- Meng Fang and Trevor Cohn (2017). Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. In ACL 2017.
- Ying Xu, Jey Han Lau, Timothy Baldwin and Trevor Cohn (2017). Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. In Proceedings of the Workshop on Summarization and Summary Evaluation Across Source Types and Genres.
- Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin and Julian Brooke (2017). Joint Sentence-Document Model for Manifesto Text Analysis. In ALTA 2017.
- Aili Shen, Jianzhong Qi and Timothy Baldwin (2017). A Hybrid Model for Quality Assessment of Wikipedia Articles. In ALTA 2017.
- Fei Liu, Trevor Cohn and Timothy Baldwin (2017). Improving End-to-End Memory Networks with Unified Weight Tying. In ALTA 2017.
- Katherine Cheng, Timothy Baldwin and Karin Verspoor (2017). Automatic Negation and Speculation Detection in Veterinary Clinical Text. In ALTA 2017.
- Oliver Adams, Trevor Cohn, Graham Neubig and Alexis Michaud (2017). Phonemic Transcription of Low-Resource Tonal Languages. In ALTA 2017.
2016
- Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn (2016). Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. In TACL, Vol 4.
- Lea Frermann and Mirella Lapata (2016). A Bayesian Model of Diachronic Meaning Change. In TACL, Vol 4.
- Karin Verspoor, Go Heo, Keun Kang and Min Song (2016). Establishing a baseline for literature mining human genetic variants and their relationships to disease cohorts. In BMC Med. Inf. & Decision Making, Vol 16.
- Simone Romano, Xuan Nguyen, James Bailey and Karin Verspoor (2016). Adjusting for Chance Clustering Comparison Measures. In J. Mach. Learn. Res., Vol 17.
- Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Manus, Gholamreza Haffari, Ingrid Zukerman and Karin Verspoor (2016). Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources. In Journal of Biomedical Informatics, Vol 64.
- Miji Choi, Justin Zobel and Karin Verspoor (2016). A categorical analysis of coreference resolution errors in biomedical texts. In Journal of Biomedical Informatics, Vol 60.
- Lea Frermann and Mirella Lapata (2016). Incremental Bayesian Category Learning From Natural Language. In Cognitive Science, Vol 40.
- Yahui Sun, Pathima Hameed, Karin Verspoor and Saman Halgamuge (2016). A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning. In BMC Systems Biology, Vol 10.
- Karin Verspoor, Anika Oellrich, Nigel Collier, Tudor Groza, Philippe Rocca-Serra, Larisa Soldatova, Michel Dumontier and Nigam Shah (2016). Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop. In J. Biomedical Semantics, Vol 7.
- Christopher Funk, K. Cohen, Lawrence Hunter and Karin Verspoor (2016). Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition. In J. Biomedical Semantics, Vol 7.
- Miji Choi, Haibin Liu, William Jr., Justin Zobel and Karin Verspoor (2016). Coreference resolution improves extraction of Biological Expression Language statements from texts. In Database, Vol 2016.
- Carolina Scarton, Daniel Beck, Kashif Shah, Karin Smith and Lucia Specia (2016). Word embeddings and discourse information for Quality Estimation. In WMT 2016.
- Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor and Marcos Zampieri (2016). Findings of the 2016 Conference on Machine Translation. In WMT 2016.
- Daniel Beck, Andreas Vlachos, Gustavo Paetzold and Lucia Specia (2016). SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. In WMT 2016.
- Walid Magdy, Kareem Darwish, Norah Abokhodair, Afshin Rahimi and Timothy Baldwin (2016). #ISISisNotIslam or #DeportAllMuslims?: predicting unspoken views. In Proceedings of the 8th ACM Conference on Web Science.
- Nagesh Chandrasekarasastry, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao (2016). Exploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction. In SMBM 2016.
- Fei Liu, Alistair Moffat, Timothy Baldwin and Xiuzhen Zhang (2016). Quit While Ahead: Evaluating Truncated Rankings. In SIGIR 2016.
- Ping Tan, Karin Verspoor and Timothy Miller (2016). Rev at SemEval-2016 Task 2: Aligning Chunks by Lexical, Part of Speech and Semantic Equivalence. In SEMEVAL 2016.
- Steven Xu, Huizhi Liang and Timothy Baldwin (2016). UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. In SEMEVAL 2016.
- Andreas Scherbakov, Ekaterina Vylomova, Fei Liu and Timothy Baldwin (2016). VectorWeavers at SemEval-2016 Task 10: From Incremental Meaning to Semantic Unit (phrase by phrase). In SEMEVAL 2016.
- Julian Brooke, Alexandra Uitdenbogerd and Timothy Baldwin (2016). Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features. In SEMEVAL 2016.
- Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li and Long Duong (2016). UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. In SEMEVAL 2016.
- Ahmet Aker, Frederic Blain, Andres Duque, Marina Fomicheva, Jurica Seva, Kashif Shah and Daniel Beck (2016). USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box. In SEMEVAL 2016.
- Simone Romano, Xuan Nguyen, James Bailey and Karin Verspoor (2016). A Framework to Adjust Dependency Measure Estimates for Chance. In SDM 2016.
- Jey Han Lau and Timothy Baldwin (2016). An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation. In Proceedings of the 1st Workshop on Representation Learning for NLP.
- Bahadorreza Ofoghi, Meghan Mann and Karin Verspoor (2016). Towards Early Discovery of Salient Health Threats: A Social Media Emotion Classification Technique. In Biocomputing 2016: Proceedings of the Pacific Symposium.
- Patrick Pang, Shanton Chang, Karin Verspoor and Jon Pearce (2016). Innovation in Designing Health Information Websites: Results from a Quantitative Study. In PACIS 2016.
- Patrick Pang, Mitchell Harrop, Karin Verspoor, Jon Pearce and Shanton Chang (2016). What are health website visitors doing: insights from visualisations towards exploratory search. In OzCHI 2016.
- Jey Han Lau and Timothy Baldwin (2016). The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. In NAACL HLT 2016.
- Cong Hoang, Trevor Cohn and Gholamreza Haffari (2016). Incorporating Side Information into Recurrent Neural Network Language Models. In NAACL HLT 2016.
- Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird and Trevor Cohn (2016). An Attentional Model for Speech Translation Without Transcription. In NAACL HLT 2016.
- Trevor Cohn, Cong Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer and Gholamreza Haffari (2016). Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. In NAACL HLT 2016.
- Daniel Beck, Adria Gispert, Gonzalo Iglesias, Aurelien Waite and Bill Byrne (2016). Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. In NAACL HLT 2016.
- Daniel Preotiuc-Pietro, P. Srijith, Mark Hepple and Trevor Cohn (2016). Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. In LREC 2016.
- Richard Fothergill, Paul Cook and Timothy Baldwin (2016). Evaluating a Topic Modelling Approach to Measuring Corpus Similarity. In LREC 2016.
- Oliver Adams, Graham Neubig, Trevor Cohn and Steven Bird (2016). Learning a Translation Model from Word Lattices. In INTERSPEECH 2016.
- Patrick Pang, Karin Verspoor, Jon Pearce and Shanton Chang (2016). Finding and Exploring Health Information with a Slider-Based User Interface. In HIC 2016.
- Xin Li, Karin Verspoor, Kathleen Gray and Stephen Barnett (2016). Analysing Health Professionals' Learning Interactions in an Online Social Network: A Longitudinal Study. In HIC 2016.
- Ehsan Shareghi, Trevor Cohn and Gholamreza Haffari (2016). Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. In EMNLP 2016.
- Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou and Timothy Baldwin (2016). Named Entity Recognition for Novel Types by Transfer Learning. In EMNLP 2016.
- Yitong Li, Trevor Cohn and Timothy Baldwin (2016). Learning Robust Representations of Text. In EMNLP 2016.
- Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn (2016). Learning Crosslingual Word Embeddings without Bilingual Corpora. In EMNLP 2016.
- Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Do and Satoshi Nakamura (2016). Learning a Lexicon and Translation Model from Phoneme Lattices. In EMNLP 2016.
- Meng Fang and Trevor Cohn (2016). Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. In CoNLL 2016.
- Daniel Beck, Lucia Specia and Trevor Cohn (2016). Exploring Prediction Uncertainty in Machine Translation Quality Estimation. In CoNLL 2016.
- Bahar Salehi, Paul Cook and Timothy Baldwin (2016). Determining the Multiword Expression Inventory of a Surprise Language. In COLING 2016.
- Matthias Petri and Trevor Cohn (2016). Succinct Data Structures for NLP-at-Scale. In COLING 2016.
- Yvette Graham, Timothy Baldwin, Meghan Dowling, Maria Eskevich, Teresa Lynn and Lamia Tounsi (2016). Is all that Glitters in Machine Translation Quality Estimation really Gold?. In COLING 2016.
- Shraey Bhatia, Jey Han Lau and Timothy Baldwin (2016). Automatic Labelling of Topics with Neural Embeddings. In COLING 2016.
- Nagesh Chandrasekarasastry, Gitansh Khirbat, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao (2016). SeeDev Binary Event Extraction using SVMs and a Rich Feature Set. In BioNLP 2016.
- Qingyu Chen, Yu Wan, Yang Lei, Justin Zobel and Karin Verspoor (2016). Evaluation of CD-HIT for constructing non-redundant databases. In BIBM 2016.
- Bo Han, Afshin Rahimi, Leon Derczynski and Timothy Baldwin (2016). Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text. In NUT@COLING 2016.
- Ekaterina Vylomova, Laura Rimell, Trevor Cohn and Timothy Baldwin (2016). Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. In ACL 2016.
- Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2016). pigeo: A Python Geotagging Tool. In ACL 2016 (demo).
- Michal Lukasik, P. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga and Trevor Cohn (2016). Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. In ACL 2016.
- Julian Brooke, Adam Hammond and Timothy Baldwin (2016). Bootstrapped Text-level Named Entity Recognition for Literature. In ACL 2016.
- Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy and Francis Bond (2016). LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. In ACL 2016.
- Cong Hoang, Reza Haffari and Trevor Cohn (2016). Improving Neural Translation Models with Linguistic Factors. In ALTA 2016.
- Nagesh Chandrasekarasastry, Karin Verspoor, Trevor Cohn and Rao Kotagiri (2016). ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction. In ALTA 2016.
- Hafsah Aamer, Bahadorreza Ofoghi and Karin Verspoor (2016). Syndromic Surveillance through Measuring Lexical Shift in Emergency Department Chief Complaint Texts. In ALTA 2016.
- Michal Lukasik and Trevor Cohn (2016). Convolution Kernels for Discriminative Learning from Streaming Text. In AAAI 2016.
2015
- Daniel Beck, Trevor Cohn, Christian Hardmeier and Lucia Specia (2015). Learning Structural Kernels for Natural Language Processing. In TACL, Vol 3.
- Kashif Shah, Trevor Cohn and Lucia Specia (2015). A Bayesian non-linear method for feature selection in machine translation quality estimation. In Machine Translation, Vol 29.
- Zsolt Bitvai and Trevor Cohn (2015). Day trading profit maximization with multi-task learning and technical analysis. In Machine Learning, Vol 101.
- Ned Letcher, Rebecca Dridan and Timothy Baldwin (2015). gDelta: a missing link in the grammar engineering toolchain. In Language Resources and Evaluation, Vol 49.
- Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel Lowe, Roger Sayle, Riza Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktaschel, Sergio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ryu, S. Ramanan, P. Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber Akhondi, Jan Kors, Shuo Xu, Xin An, Utpal Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Giles, Hongfang Liu, Ravikumar Elayavilli, Andre Lamurias, Francisco Couto, Hong-Jie Dai, Richard Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martinez, Julen Oyarzabal and Alfonso Valencia (2015). The CHEMDNER corpus of chemicals and drugs and its annotation principles. In J. Cheminformatics, Vol 7.
- Larisa Soldatova, Nigel Collier, Anika Oellrich, Tudor Groza, Karin Verspoor, Philippe Rocca-Serra, Michel Dumontier and Nigam Shah (2015). Special issue on bio-ontologies and phenotypes. In J. Biomedical Semantics, Vol 6.
- Christopher Funk, Indika Kahanda, Asa Ben-Hur and Karin Verspoor (2015). Evaluating a variety of text-mined features for automatic protein function prediction with GOstruct. In J. Biomedical Semantics, Vol 6.
- Karin Verspoor, Hagit Shatkay, Lynette Hirschman, Christian Blaschke and Alfonso Valencia (2015). Summary of the BioLINK SIG 2013 meeting at ISMB/ECCB 2013. In Bioinformatics, Vol 31.
- Daniel Beck, Christopher Dennis and James Foster (2015). Seed: a user-friendly tool for exploring and visualizing microbial community data. In Bioinformatics, Vol 31.
- Daniel Beck and James Foster (2015). Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. In BioData Mining, Vol 8.
- Kashif Shah, Varvara Logacheva, Gustavo Paetzold, Frederic Blain, Daniel Beck, Fethi Bougares and Lucia Specia (2015). SHEF-NN: Translation Quality Estimation with Neural Networks. In WMT@EMNLP 2015.
- Clint Burford, Steven Bird and Timothy Baldwin (2015). Collective Document Classification with Implicit Inter-document Semantic Relationships. In *SEM 2015.
- Huizhi Liang, Richard Fothergill and Timothy Baldwin (2015). RoseMerry: A Baseline Message-level Sentiment Classification System. In SEMEVAL 2015.
- Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn and Ann Nicholson (2015). Structured Prediction of Sequences and Trees Using Infinite Contexts. In ECML PKDD 2015.
- Patrick Pang, Karin Verspoor, Jon Pearce and Shanton Chang (2015). Better Health Explorer: Designing for Health Information Seekers. In OZCHI 2015.
- Bahar Salehi, Paul Cook and Timothy Baldwin (2015). A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions. In NAACL HLT 2015.
- Afshin Rahimi, Duy Vu, Trevor Cohn and Timothy Baldwin (2015). Exploiting Text and Network Context for Geolocation of Social Media Users. In NAACL HLT 2015.
- Yvette Graham, Timothy Baldwin and Nitika Mathur (2015). Accurate Evaluation of Segment-level Machine Translation Metrics. In NAACL HLT 2015.
- Lea Frermann and Mirella Lapata (2015). A Bayesian Model for Joint Learning of Categories and their Features. In NAACL HLT 2015.
- Bahar Salehi, Nitika Mathur, Paul Cook and Timothy Baldwin (2015). The Impact of Multiword Expression Compositionality on Machine Translation Evaluation. In MWE@NAACL-HLT 2015.
- Andre Dittrich, Maria Vasardani, Stephan Winter, Timothy Baldwin and Fei Liu (2015). A Classification Schema for Fast Disambiguation of Spatial Prepositions. In IWGS 2015.
- Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn (2015). Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees. In EMNLP 2015.
- Michal Lukasik, P. Srijith, Trevor Cohn and Kalina Bontcheva (2015). Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. In EMNLP 2015.
- Michal Lukasik, Trevor Cohn and Kalina Bontcheva (2015). Classifying Tweet Level Judgements of Rumours in Social Media. In EMNLP 2015.
- Long Duong, Trevor Cohn, Steven Bird and Paul Cook (2015). A Neural Network Model for Low-Resource Universal Dependency Parsing. In EMNLP 2015.
- Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider and Timothy Baldwin (2015). Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks. In CoNLL 2015.
- Long Duong, Trevor Cohn, Steven Bird and Paul Cook (2015). Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data. In CoNLL 2015.
- Karin Verspoor, Go Heo, Keun Kang and Min Song (2015). Extraction of Fine-grained Semantic Relations for the Human Variome. In DTMBIO 2015.
- Min Song, Doheon Lee and Karin Verspoor (2015). DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics. In CIKM 2015.
- Huizhi Liang and Timothy Baldwin (2015). A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. In CIKM 2015.
- Qingyu Chen, Justin Zobel and Karin Verspoor (2015). Evaluation of a Machine Learning Duplicate Detection Method for Bioinformatics Databases. In DTMBIO 2015.
- Nikolaos Aletras, Jey Han Lau, Timothy Baldwin and Mark Stevenson (2015). TM 2015 - Topic Models: Post-Processing and Applications Workshop. In CIKM 2015.
- Karin Verspoor (2015). Drawing on millions of biomedical journal publications to do predictive biology. In BIGCOMP 2015.
- Wanqiu Kou, Fang Li and Timothy Baldwin (2015). Automatic Labelling of Topic Models Using Word Vectors and Letter Trigram Vectors. In AIRS 2015.
- Doris Hoogeveen, Karin Verspoor and Timothy Baldwin (2015). CQADupStack: A Benchmark Data Set for Community Question-Answering Research. In ADCS 2015.
- Timothy Baldwin, Marie-Catherine Marneffe, Bo Han, Young-Bum Kim, Alan Ritter and Wei Xu (2015). Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition. In NUT@IJCNLP 2015.
- Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2015). Twitter User Geolocation Using a Unified Text and Network Prediction Model. In ACL 2015.
- Michal Lukasik, Trevor Cohn and Kalina Bontcheva (2015). Point Process Modelling of Rumour Dynamics in Social Media. In ACL 2015.
- Jey Han Lau, Alexander Clark and Shalom Lappin (2015). Unsupervised Prediction of Acceptability Judgements. In ACL 2015.
- Long Duong, Trevor Cohn, Steven Bird and Paul Cook (2015). Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser. In ACL 2015.
- Zsolt Bitvai and Trevor Cohn (2015). Non-Linear Text Regression with a Deep Convolutional Neural Network. In ACL 2015.
- Ping Tan, Karin Verspoor and Tim Miller (2015). Structural Alignment as the Basis to Improve Significant Change Detection in Versioned Sentences. In ALTA 2015.
- Joel Nothman, Atif Ahmad, Christoph Breidbach, David Malet and Timothy Baldwin (2015). Understanding engagement with insurgents through retweet rhetoric. In ALTA 2015.
- Julio Alvarado, Karin Verspoor and Timothy Baldwin (2015). Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment. In ALTA 2015.
- Zsolt Bitvai and Trevor Cohn (2015). Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression. In AAAI 2015.
2014
- Marco Lui, Jey Han Lau and Timothy Baldwin (2014). Automatic Detection and Language Identification of Multilingual Documents. In TACL, Vol 2.
- Daniel Park, Tu Nguyen-Dumont, Sori Kang, Karin Verspoor and Bernard Pope (2014). Annokey: an annotation tool based on key term search of the NCBI Entrez Gene database. In Source Code for Biology and Medicine, Vol 9.
- Bo Han, Paul Cook and Timothy Baldwin (2014). Text-Based Twitter User Geolocation Prediction. In J. Artif. Intell. Res., Vol 49.
- Christopher Funk, William Jr., Benjamin Garcia, Christophe Roeder, Michael Bada, K. Cohen, Lawrence Hunter and Karin Verspoor (2014). Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters. In BMC Bioinformatics, Vol 15.
- Antonio Jimeno-Yepes and Karin Verspoor (2014). Literature mining of genetic variants for curation: quantifying the importance of supplementary material. In Database, Vol 2014.
- Donald Comeau, Riza Batista-Navarro, Hong-Jie Dai, Rezarta Dogan, Antonio Jimeno-Yepes, Ritu Khare, Zhiyong Lu, Hernani Marques, Carolyn Mattingly, Mariana Neves, Yifan Peng, Rafal Rak, Fabio Rinaldi, Richard Tsai, Karin Verspoor, Thomas Wiegers, Cathy Wu and W. Wilbur (2014). BioC interoperability track overview. In Database, Vol 2014.
- Yvette Graham, Nitika Mathur and Timothy Baldwin (2014). Randomized Significance Tests in Machine Translation. In WMT@ACL 2014.
- Daniel Beck, Kashif Shah and Lucia Specia (2014). SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation. In WMT@ACL 2014.
- Marco Lui, Ned Letcher, Oliver Adams, Long Duong, Paul Cook and Timothy Baldwin (2014). Exploring Methods and Resources for Discriminating Similar Languages. In Proceedings of the First Workshop on Applying NLP Tools to Similar Languages.
- Karin Verspoor (2014). Practice-based Evidence in Medicine: Where Information Retrieval Meets Data Mining. In Proceedings of the Medical Information Retrieval Workshop at SIGIR co-located with the 37th annual international ACM SIGIR conference (ACM SIGIR 2014).
- Patrick Pang, Karin Verspoor, Shanton Chang and Jon Pearce (2014). Designing for Health Exploratory Seeking Behaviour. In Proceedings of the Medical Information Retrieval Workshop at SIGIR co-located with the 37th annual international ACM SIGIR conference (ACM SIGIR 2014).
- Miji Choi, Karin Verspoor and Justin Zobel (2014). Evaluation of Coreference Resolution for Biomedical Text. In Proceedings of the Medical Information Retrieval Workshop at SIGIR co-located with the 37th annual international ACM SIGIR conference (ACM SIGIR 2014).
- Patrick Pang, Shanton Chang, Jon Pearce and Karin Verspoor (2014). Online Health Information seeking Behaviour: Understanding Different Search Approaches. In PACIS 2014.
- Denis Burnham, Dominique Estival, Steve Cassidy, P. Sefton and Karin Verspoor (2014). Two platforms for research in Human Communication Science: The AusTalk corpus and the Alveo Virtual Laboratory. In COCOSDA.
- Igor Tytyk and Timothy Baldwin (2014). Automatic Zoom Level Prediction for Informal Location Descriptions. In Proceedings of the 4th International Workshop on Location and the Web.
- Fei Liu, Maria Vasardani and Timothy Baldwin (2014). Automatic Identification of Locative Expressions from Social Media Text: A Comparative Analysis. In Proceedings of the 4th International Workshop on Location and the Web.
- Nikolaos Aletras, Timothy Baldwin, Jey Han Lau and Mark Stevenson (2014). Representing topics labels for exploring digital libraries. In JCDL 2014.
- Yolanda Baker, Rajeev Agrawal, James Foster, Daniel Beck and Gerry Dozier (2014). Applying machine learning techniques in detecting Bacterial Vaginosis. In 2014 International Conference on Machine Learning and Cybernetics.
- Simone Romano, James Bailey, Xuan Nguyen and Karin Verspoor (2014). Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. In ICML 2014.
- Bahadorreza Ofoghi, Guillermo Lopez-Campos, Fernando Martin-Sanchez and Karin Verspoor (2014). Mapping Biomedical Vocabularies: A Semi-Automated Term Matching Approach. In [ICIMTH.
- Jan Wallgrun, Alexander Klippel and Timothy Baldwin (2014). Building a corpus of spatial relational expressions extracted from web documents. In GIR 2014.
- Joi Carter, Daniel Beck, Henry Williams, Gerry Dozier and James Foster (2014). GA-based selection of vaginal microbiome features associated with bacterial vaginosis. In GECCO '14.
- Bahar Salehi, Paul Cook and Timothy Baldwin (2014). Detecting Non-compositional MWE Components using Wiktionary. In EMNLP 2014.
- Yvette Graham and Timothy Baldwin (2014). Testing for Significance of Increased Correlation with Human Judgment. In EMNLP 2014.
- Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird and Paul Cook (2014). What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages. In EMNLP 2014.
- Daniel Beck, Trevor Cohn and Lucia Specia (2014). Joint Emotion Analysis via Multi-task Gaussian Processes. In EMNLP 2014.
- Bahar Salehi, Paul Cook and Timothy Baldwin (2014). Using Distributional Similarity of Multi-way Translations to Predict Multiword Expression Compositionality. In EACL 2014.
- Jey Han Lau, David Newman and Timothy Baldwin (2014). Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In EACL 2014.
- Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro and Trevor Cohn (2014). Predicting and Characterising User Impact on Twitter. In EACL 2014.
- Yvette Graham, Timothy Baldwin, Alistair Moffat and Justin Zobel (2014). Is Machine Translation Getting Better over Time?. In EACL 2014.
- Spandana Gella, Paul Cook and Timothy Baldwin (2014). One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter. In EACL 2014.
- Lea Frermann, Ivan Titov and Manfred Pinkal (2014). A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge. In EACL 2014.
- Lea Frermann and Mirella Lapata (2014). Incremental Bayesian Learning of Semantic Categories. In EACL 2014.
- Yang Feng, Trevor Cohn and Xinkai Du (2014). Factored Markov Translation with Robust Modeling. In CoNLL 2014.
- Dominique Estival, Steve Cassidy, Karin Verspoor, Andrew MacKinlay and Denis Burnham (2014). Integrating UIMA with Alveo, a human communication science virtual laboratory. In OIAF4HLT@COLING 2014.
- Paul Cook, Jey Han Lau, Diana McCarthy and Timothy Baldwin (2014). Novel Word-sense Identification. In COLING 2014.
- Jey Han Lau, Alexander Clark and Shalom Lappin (2014). Measuring Gradience in Speakers' Grammaticality Judgements. In COGSCI 2014.
- Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella and Timothy Baldwin (2014). Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models. In ACL 2014.
- Vasileios Lampos, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling and Trevor Cohn (2014). Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. In Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014.
- Gintare Grigonyte and Timothy Baldwin (2014). Automatic Detection of Multilingual Dictionaries on the Web. In ACL 2014.
- Douwe Gelling and Trevor Cohn (2014). Simple extensions and POS Tags for a reparameterised IBM Model 2. In ACL 2014.
- Trevor Cohn, Daniel Preotiuc-Pietro and Neil Lawrence (2014). Gaussian Processes for Natural Language Processing. In ACL 2014.
- Daniel Beck (2014). Bayesian Kernel Methods for Natural Language Processing. In ACL 2014.
- Simon Kocbek, Karin Verspoor and Wray Buntine (2014). Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models. In ALTA 2014.
- Tudor Groza and Karin Verspoor (2014). Automated Generation of Test Suites for Error Analysis of Concept Recognition Systems. In ALTA 2014.
- Miji Choi, Karin Verspoor and Justin Zobel (2014). Analysis of Coreference Relations in the Biomedical Literature. In ALTA 2014.
- Yolanda Baker, Rajeev Agrawal, James Foster, Daniel Beck and Gerry Dozier (2014). Detecting bacterial vaginosis using machine learning. In Proceedings of the 2014 ACM Southeast Regional Conference.
2013
- Jey Han Lau, Timothy Baldwin and David Newman (2013). On collocations and topic models. In TSLP, Vol 10.
- Su Kim and Timothy Baldwin (2013). Word sense and semantic relations in noun compounds. In TSLP, Vol 10.
- Bo Han, Paul Cook and Timothy Baldwin (2013). Lexical normalization for social media text. In ACM TIST, Vol 4.
- Trevor Cohn and Mirella Lapata (2013). An abstractive approach to sentence compression. In ACM TIST, Vol 4.
- Su Kim and Timothy Baldwin (2013). A lexical semantic approach to interpreting and bracketing English noun compounds. In Natural Language Engineering, Vol 19.
- Su Kim, Olena Medelyan, Min-Yen Kan and Timothy Baldwin (2013). Automatic keyphrase extraction from scientific articles. In Language Resources and Evaluation, Vol 47.
- Laura Rimell, Thomas Lippincott, Karin Verspoor, Helen Johnson and Anna Korhonen (2013). Acquisition and evaluation of verb subcategorization resources for biomedicine. In Journal of Biomedical Informatics, Vol 46.
- Thomas Lippincott, Laura Rimell, Karin Verspoor and Anna Korhonen (2013). Approaches to verb subcategorization for biomedicine. In Journal of Biomedical Informatics, Vol 46.
- Artem Sokolov, Christopher Funk, Kiley Graim, Karin Verspoor and Asa Ben-Hur (2013). Combining heterogeneous data sources for accurate functional annotation of proteins. In BMC Bioinformatics, Vol 14.
- Kevin Livingston, Michael Bada, Lawrence Hunter and Karin Verspoor (2013). Representing annotation compositionality and provenance for the Semantic Web. In J. Biomedical Semantics, Vol 4.
- Karin Verspoor, Antonio Jimeno-Yepes, Lawrence Cavedon, Tara McIntosh, Asha Herten-Crabb, Zoe Thomas and John-Paul Plazzer (2013). Annotating the biomedical literature for the human variome. In Database, Vol 2013.
- Donald Comeau, Rezarta Dogan, Paolo Ciccarese, Kevin Cohen, Martin Krallinger, Florian Leitner, Zhiyong Lu, Yifan Peng, Fabio Rinaldi, Manabu Torii, Alfonso Valencia, Karin Verspoor, Thomas Wiegers, Cathy Wu and W. Wilbur (2013). BioC: a minimalist approach to interoperability for biomedical text processing. In Database, Vol 2013.
- Daniel Beck, Kashif Shah, Trevor Cohn and Lucia Specia (2013). SHEF-Lite: When Less is More for Translation Quality Estimation. In WMT@ACL 2013.
- Daniel Preotiuc-Pietro and Trevor Cohn (2013). Mining user behaviours: a study of check-in patterns in location based social networks. In Web Science 2013.
- Spandana Gella, Bahar Salehi, Marco Lui, Karl Grieser, Paul Cook and Timothy Baldwin (2013). UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity. In *SEM 2013.
- Bo Han, Paul Cook and Timothy Baldwin (2013). unimelb: Spanish Text Normalisation. In Proceedings of the Tweet Normalization Workshop co-located with 29th Conference of the Spanish Society for Natural Language Processing (SEPLN 2013).
- Jey Han Lau, Paul Cook and Timothy Baldwin (2013). unimelb: Topic Modelling-based Word Sense Induction. In SEMEVAL 2013.
- Jey Han Lau, Paul Cook and Timothy Baldwin (2013). unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering. In SEMEVAL 2013.
- Yvette Graham, Bahar Salehi and Timothy Baldwin (2013). Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features. In SEMEVAL 2013.
- Karin Verspoor, Andrew MacKinlay, Judith Cohn and Michael Wall (2013). Detection of Protein Catalytic Sites in the Biomedical Literature. In Biocomputing 2013: Proceedings of the Pacific Symposium.
- Meladel Mistica, Jey Han Lau and Timothy Baldwin (2013). Unsupervised Word Class Induction for Under-resourced Languages: A Case Study on Indonesian. In IJCNLP 2013.
- Timothy Baldwin, Paul Cook, Marco Lui, Andrew MacKinlay and Li Wang (2013). How Noisy Social Media Text, How Diffrnt Social Media Sources?. In IJCNLP 2013.
- Raymond Ng, Thomas Hain and Trevor Cohn (2013). Adaptation of lecture speech recognition system with machine translation output. In ICASSP 2013.
- Dominic Rout, Kalina Bontcheva, Daniel Preotiuc-Pietro and Trevor Cohn (2013). Where's @wally?: a classification approach to geolocating users based on their social ties. In HT 2013.
- Daniel Preotiuc-Pietro and Trevor Cohn (2013). A temporal model of text periodicities using Gaussian Processes. In EMNLP 2013.
- Ziqi Zhang, Trevor Cohn and Fabio Ciravegna (2013). Topic-Oriented Words as Features for Named Entity Recognition. In CICLING 2013.
- Pawel Matykiewicz, Kevin Cohen, Katherine Holland, Tracy Glauser, Shannon Standridge, Karin Verspoor and John Pestian (2013). Earlier Identification of Epilepsy Surgery Candidates Using Natural Language Processing. In BioNLP 2013.
- Andrew MacKinlay, David Martinez, Antonio Jimeno-Yepes, Haibin Liu, W. Wilbur and Karin Verspoor (2013). Extracting Biomedical Events and Modifications Using Subgraph Matching with Noisy Training Data. In BioNLP 2013.
- Haibin Liu, Karin Verspoor, Donald Comeau, Andrew MacKinlay and W. Wilbur (2013). Generalizing an Approximate Subgraph Matching-based System to Extract Events in Molecular Biology and Cancer Genetics. In BioNLP 2013.
- Li Wang, Su Kim and Timothy Baldwin (2013). The Utility of Discourse Structure in Forum Thread Retrieval. In AIRS 2013.
- Yvette Graham, Timothy Baldwin, Alistair Moffat and Justin Zobel (2013). Continuous Measurement Scales in Human Evaluation of Machine Translation. In LAW-ID@ACL 2013.
- Lucia Specia, Kashif Shah, Jose Souza and Trevor Cohn (2013). QuEst - A translation quality estimation framework. In ACL 2013.
- Vasileios Lampos, Daniel Preotiuc-Pietro and Trevor Cohn (2013). A user-centric model of voting intention from Social Media. In ACL 2013.
- Bo Han, Paul Cook and Timothy Baldwin (2013). A Stacking-based Approach to Twitter User Geolocation Prediction. In ACL 2013.
- Yang Feng and Trevor Cohn (2013). A Markov Model of Machine Translation using Non-parametric Bayesian Inference. In ACL 2013.
- Trevor Cohn and Lucia Specia (2013). Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation. In ACL 2013.
- Trevor Cohn and Gholamreza Haffari (2013). An Infinite Hierarchical Bayesian Model of Phrasal Translation. In ACL 2013.
- Daniel Beck, Lucia Specia and Trevor Cohn (2013). Reducing Annotation Effort for Quality Estimation via Active Learning. In ACL 2013.
- Jared Willett, David Martinez, J. Webb and Timothy Baldwin (2013). Automatic Climate Classification of Environmental Science Literature. In ALTA 2013.
- Karin Verspoor and Jeremy Nicholson (2013). e-Learning with Kaggle in Class: Adapting the ALTA Shared Task 2013 to a Class Project. In ALTA 2013.
- Tatyana Shmanina, Ingrid Zukerman, Antonio Jimeno-Yepes, Lawrence Cavedon and Karin Verspoor (2013). Impact of Corpus Diversity and Complexity on NER Performance. In ALTA 2013.
- Yvette Graham, Timothy Baldwin, Alistair Moffat and Justin Zobel (2013). Crowd-Sourcing of Human Judgments of Machine Translation Fluency. In ALTA 2013.
2012
- Andrew MacKinlay, David Martinez and Timothy Baldwin (2012). Detecting modification of biomedical events using a deep parsing approach. In BMC Med. Inf. & Decision Making, Vol 12.
- Daniel Beck and Gerhard Lakemeyer (2012). Reinforcement learning for Golog programs with first-order state-abstraction. In Logic Journal of the IGPL, Vol 20.
- Karin Verspoor, Kevin Cohen, Arrick Lanfranchi, Colin Warner, Helen Johnson, Christophe Roeder, Jinho Choi, Christopher Funk, Yuriy Malenkiy, Miriam Eckert, Nianwen Xue, William Jr., Michael Bada, Martha Palmer and Lawrence Hunter (2012). A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. In BMC Bioinformatics, Vol 13.
- Michael Bada, Miriam Eckert, Donald Evans, Kristin Garcia, Krista Shipley, Dmitry Sitnikov, William Jr., K. Cohen, Karin Verspoor, Judith Blake and Lawrence Hunter (2012). Concept annotation in the CRAFT corpus. In BMC Bioinformatics, Vol 13.
- K. Ravikumar, Haibin Liu, Judith Cohn, Michael Wall and Karin Verspoor (2012). Literature mining of protein-residue associations with graph rules learned through distant supervision. In J. Biomedical Semantics, Vol 3.
- Haibin Liu, Tom Christiansen, William Jr. and Karin Verspoor (2012). BioLemmatizer: a lemmatization tool for morphological processing of biomedical text. In J. Biomedical Semantics, Vol 3.
- Wade Copeland, Vandhana Krishnan, Daniel Beck, Matt Settles, James Foster, Kyu-Chul Cho, Mitch Day, Roxana Hickey, Ursel Schutte, Xia Zhou, Christopher Williams, Larry Forney and Zaid Abdo (2012). mcaGUI: microbial community analysis R-Graphical User Interface (GUI). In Bioinformatics, Vol 28.
- Andrew MacKinlay, Rebecca Dridan, Diana McCarthy and Timothy Baldwin (2012). The Effects of Semantic Annotations on Precision Parse Ranking. In *SEM 2012.
- Richard Fothergill and Timothy Baldwin (2012). Combining resources for MWE-token classification. In *SEM 2012.
- Ahmet Aker, Trevor Cohn and Robert Gaizauskas (2012). Redundancy reduction for multi-document summaries using A* search and discriminative training. In Proceedings of the 2nd International Workshop on Exploiting Large Knowledge Repositories.
- Jeremy Nicholson, Rachel Nordlinger and Timothy Baldwin (2012). Deep Lexical Acquisition of Type Properties in Low-resource Languages: A Case Study in Wambaya. In PACLIC.
- Su Kim, Lawrence Cavedon and Timothy Baldwin (2012). Classifying Dialogue Acts in Multi-party Live Chats. In PACLIC.
- Su Kim and Timothy Baldwin (2012). Extracting Keywords from Multi-party Live Chats. In PACLIC.
- Timothy Baldwin (2012). Social Media: Friend or Foe of Natural Language Processing?. In PACLIC.
- Jeremy Nicholson, Trevor Cohn and Timothy Baldwin (2012). Evaluating a Morphological Analyser of Inuktitut. In HLT:NAACL 2012.
- Christoph Schwering, Daniel Beck, Stefan Schiffer and Gerhard Lakemeyer (2012). Plan Recognition by Program Execution in Continuous Temporal Domains. In KI 2012.
- Bo Han, Paul Cook and Timothy Baldwin (2012). Automatically Constructing a Normalisation Dictionary for Microblogs. In EMNLP-CoNLL 2012.
- Yang Feng, Yang Liu, Qun Liu and Trevor Cohn (2012). Left-to-Right Tree-to-String Decoding with Prediction. In EMNLP-CoNLL 2012.
- Daniel Beck and Gerhard Lakemeyer (2012). Representing Value Functions with Recurrent Binary Decision Diagrams. In ECAI 2012.
- Jey Han Lau, Paul Cook, Diana McCarthy, David Newman and Timothy Baldwin (2012). Word Sense Induction for Novel Sense Detection. In EACL 2012.
- Timothy Baldwin, Paul Cook, Bo Han, Aaron Harwood, Shanika Karunasekera and Masud Moshtaghi (2012). A Support Platform for Event Detection using Social Intelligence. In EACL 2012.
- Li Wang, Su Kim and Timothy Baldwin (2012). The Utility of Discourse Structure in Identifying Resolved Threads in Technical User Forums. In COLING 2012.
- David Newman, Nagendra Koilada, Jey Han Lau and Timothy Baldwin (2012). Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction. In COLING 2012.
- Jey Han Lau, Nigel Collier and Timothy Baldwin (2012). On-line Trend Analysis with Topic Models: textbackslash#twitter Trends Detection Topic Model Online. In COLING 2012.
- Bo Han, Paul Cook and Timothy Baldwin (2012). Geolocation Prediction in Social Media Data by Finding Location Indicative Words. In COLING 2012.
- David Martinez, Andrew MacKinlay, Diego Aliod, Lawrence Cavedon and Karin Verspoor (2012). Simple Similarity-based Question Answering Strategies for Biomedical Text. In CLEF 2012 Evaluation Labs and Workshop.
- Andrew MacKinlay and Karin Verspoor (2012). Extracting structured information from free-text medication prescriptions using dependencies. In DTMBIO@CIKM 2012.
- Karin Verspoor and Kevin Livingston (2012). Towards Adaptation of Linguistic Annotations to Scholarly Annotation Formalisms on the Semantic Web. In LAW@ACL 2012.
- Marco Lui and Timothy Baldwin (2012). langid.py: An Off-the-shelf Language Identification Tool. In ACL 2012.
- Lea Frermann and Francis Bond (2012). Cross-lingual Parse Disambiguation based on Semantic Correspondence. In ACL 2012.
- Jared Willett, Timothy Baldwin, David Martinez and J. Webb (2012). Classification of Study Region in Environmental Science Abstracts. In ALTA 2012.
- Marco Lui, Timothy Baldwin and Diana McCarthy (2012). Unsupervised Estimation of Word Usage Similarity. In ALTA 2012.
- Yvette Graham, Timothy Baldwin, Aaron Harwood, Alistair Moffat and Justin Zobel (2012). Measurement of Progress in Machine Translation. In ALTA 2012.
- James Breen, Timothy Baldwin and Francis Bond (2012). Segmentation and Translation of Japanese Multi-word Loanwords. In ALTA 2012.
- Haibin Liu, Vlado Keselj, Christian Blouin and Karin Verspoor (2012). Subgraph Matching-Based Literature Mining for Biomedical Relations and Events. In Information Retrieval and Knowledge Discovery in Biomedical Text.
- Christoph Schwering, Daniel Beck, Stefan Schiffer and Gerhard Lakemeyer (2012). Plan Recognition by Program Execution in Continuous Temporal Domains. In Papers from the 2012 AAAI Workshop.
2011
- Karl Grieser, Timothy Baldwin, Fabian Bohnert and Liz Sonenberg (2011). Using ontological and document similarity to estimate museum exhibit relatedness. In JOCCH, Vol 3.
- K. Cohen, Karin Verspoor, Helen Johnson, Christophe Roeder, Philip Ogren, William Jr., Elizabeth White, Hannah Tipney and Lawrence Hunter (2011). High-Precision Biological Event Extraction: Effects of System and of Data. In Computational Intelligence, Vol 27.
- David Martinez and Timothy Baldwin (2011). Word sense disambiguation for event trigger word detection in biomedicine. In BMC Bioinformatics, Vol 12.
- Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illes Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sergio Matos, David Campos, Karin Verspoor, Kevin Livingston and W. Wilbur (2011). The gene normalization task in BioCreative III. In BMC Bioinformatics, Vol 12.
- Yoshinobu Kano, Jari Bjorne, Filip Ginter, Tapio Salakoski, Ekaterina Buyko, Udo Hahn, K. Cohen, Karin Verspoor, Christophe Roeder, Lawrence Hunter, Halil Kilicoglu, Sabine Bergler, Sofie Landeghem, Thomas Parys, Yves Peer, Makoto Miwa, Sophia Ananiadou, Mariana Neves, Alberto Pascual-Montano, Arzucan Ozgur, Dragomir Radev, Sebastian Riedel, Rune Saetre, Hong-Woo Chun, Jin-Dong Kim, Sampo Pyysalo, Tomoko Ohta and Jun'ichi Tsujii (2011). U-Compare bio-event meta-service: compatible BioNLP event extraction services. In BMC Bioinformatics, Vol 12.
- Daniel Beck, Matt Settles and James Foster (2011). OTUbase: an R infrastructure package for operational taxonomic unit data. In Bioinformatics, Vol 27.
- Xingyi Song and Trevor Cohn (2011). Regression and Ranking based Optimisation for Sentence Level MT Evaluation. In WMT@EMNLP 2011.
- Bo Han, Marco Lui and Timothy Baldwin (2011). Melbourne Language Group Microblog Track Report. In TREC 2011.
- Meladel Mistica, Timothy Baldwin and I Arka (2011). Word classes in Indonesian: A linguistic reality or a convenient fallacy in natural language processing?. In PACLIC.
- Timothy Baldwin, Patrick Ye, Fabian Bohnert and Ingrid Zukerman (2011). In Situ Text Summarisation for Museum Visitors. In PACLIC.
- Timothy Baldwin (2011). MWEs and Topic Modelling: Enhancing Machine Learning with Linguistics. In MWE@ACL 2011.
- Lars Yencken and Timothy Baldwin (2011). Predicting and compensating for lexicon access errors. In IUI 2011.
- Andrew MacKinlay, Rebecca Dridan, Dan Flickinger, Stephan Oepen and Timothy Baldwin (2011). Treeblazing: Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking. In IJCNLP 2011.
- Marco Lui and Timothy Baldwin (2011). Cross-domain Feature Selection for Language Identification. In IJCNLP 2011.
- Richard Fothergill and Timothy Baldwin (2011). Fleshing it out: A Supervised Approach to MWE-token and MWE-type Classification. In IJCNLP 2011.
- Fabian Bohnert, Ingrid Zukerman, David Albrecht and Timothy Baldwin (2011). Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance. In ITWP@IJCAI 2011.
- K. Ravikumar, Haibin Liu, Judith Cohn, Michael Wall and Karin Verspoor (2011). Pattern Learning through Distant Supervision for Extraction of Protein-Residue Associations in the Biomedical Literature. In ICMLA 2011.
- Li Wang, Marco Lui, Su Kim, Joakim Nivre and Timothy Baldwin (2011). Predicting Thread Discourse Structure over Technical Web Forums. In EMNLP 2011.
- Haibin Liu, Ravikumar Elayavilli and Karin Verspoor (2011). From Graphs to Events: A Subgraph Matching Approach for Information Extraction from Biomedical Text. In Proceedings of BioNLP Shared Task 2011 Workshop.
- K. Cohen, Tom Christiansen, William Jr., Karin Verspoor and Lawrence Hunter (2011). Fast and simple semantic class assignment for biomedical text. In BioNLP 2011.
- Tara McIntosh, Lars Yencken, James Curran and Timothy Baldwin (2011). Relation Guided Bootstrapping of Semantic Lexicons. In ACL 2011.
- Jey Han Lau, Karl Grieser, David Newman and Timothy Baldwin (2011). Automatic Labelling of Topic Models. In ACL 2011.
- Bo Han and Timothy Baldwin (2011). Lexical Normalisation of Short Text Messages: Makn Sens a #twitter. In ACL 2011.
- Clinton Burfoot, Steven Bird and Timothy Baldwin (2011). Collective Classification of Congressional Floor-Debate Transcripts. In ACL 2011.
- Phil Blunsom and Trevor Cohn (2011). A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction. In ACL 2011.
- Li Wang, Diana McCarthy and Timothy Baldwin (2011). Predicting Thread Linking Structure by Lexical Chaining. In ALTA 2011.
2010
- David Newman, Timothy Baldwin, Lawrence Cavedon, Eric Huang, Sarvnaz Karimi, David Martinez, Falk Scholer and Justin Zobel (2010). Visualizing search results and document collections using topic maps. In J. Web Semant., Vol 8.
- Karin Verspoor, Christophe Roeder, Helen Johnson, K. Cohen, William Jr. and Lawrence Hunter (2010). Exploring Species-Based Strategies for Gene Normalization. In IEEE/ACM Trans. Comput. Biology Bioinform., Vol 7.
- Timothy Baldwin, Su Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2010). A Reexamination of MRD-Based Word Sense Disambiguation. In ACM Trans. Asian Lang. Inf. Process., Vol 9.
- Su Kim and Timothy Baldwin (2010). How to pick out token instances of English verb-particle constructions. In Language Resources and Evaluation, Vol 44.
- Trevor Cohn, Phil Blunsom and Sharon Goldwater (2010). Inducing Tree-Substitution Grammars. In J. Mach. Learn. Res., Vol 11.
- K. Cohen, Helen Johnson, Karin Verspoor, Christophe Roeder and Lawrence Hunter (2010). The structural and content aspects of abstracts versus bodies of full text journal articles are different. In BMC Bioinformatics, Vol 11.
- Christophe Roeder, Clement Jonquet, Nigam Shah, William Jr., Karin Verspoor and Lawrence Hunter (2010). A UIMA wrapper for the NCBO annotator. In Bioinformatics, Vol 26.
- Tim Niemuller, Alexander Ferrein, Daniel Beck and Gerhard Lakemeyer (2010). Design Principles of the Component-Based Robot Software Framework Fawkes. In SIMPAR 2010.
- Su Kim, Olena Medelyan, Min-Yen Kan and Timothy Baldwin (2010). SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles. In SEMEVAL 2010.
- Kevin Livingston, Helen Johnson, Karin Verspoor and Lawrence Hunter (2010). Leveraging Gene Ontology Annotations to Improve a Memory-Based Language Understanding System. In ICSC 2010.
- Yi Zhang, Timothy Baldwin, Valia Kordoni, David Martinez and Jeremy Nicholson (2010). Chart Mining-based Lexical Acquisition with Precision Grammars. In HLT:NAACL 2010.
- David Newman, Jey Han Lau, Karl Grieser and Timothy Baldwin (2010). Automatic Evaluation of Topic Coherence. In HLT:NAACL 2010.
- Phil Blunsom and Trevor Cohn (2010). Inducing Synchronous Grammars with Slice Sampling. In HLT:NAACL 2010.
- Timothy Baldwin and Marco Lui (2010). Language Identification: The Long and the Short of the Matter. In HLT:NAACL 2010.
- K. Cohen, Christophe Roeder, William Jr., Lawrence Hunter and Karin Verspoor (2010). Test Suite Design for Biomedical Ontology Concept Recognition Systems. In LREC 2010.
- Carsten Gorg, Hannah Tipney, Karin Verspoor, William Jr., K. Cohen, John Stasko and Lawrence Hunter (2010). Visualization and Language Processing for Supporting Analysis across the Biomedical Literature. In KES 2010.
- David Newman, Youn Noh, Edmund Talley, Sarvnaz Karimi and Timothy Baldwin (2010). Evaluating topic models for digital libraries. In JCDL 2010.
- Su Kim, Lawrence Cavedon and Timothy Baldwin (2010). Classifying Dialogue Acts in One-on-One Live Chats. In EMNLP 2010.
- Rebecca Dridan and Timothy Baldwin (2010). Unsupervised Parse Selection for HPSG. In EMNLP 2010.
- Phil Blunsom and Trevor Cohn (2010). Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing. In EMNLP 2010.
- Ahmet Aker, Trevor Cohn and Robert Gaizauskas (2010). Multi-Document Summarization Using A* Search and Discriminative Learning. In EMNLP 2010.
- Su Kim, Li Wang and Timothy Baldwin (2010). Tagging and Linking Web Forum Posts. In CoNLL 2010.
- Jey Han Lau, David Newman, Sarvnaz Karimi and Timothy Baldwin (2010). Best Topic Word Selection for Topic Labelling. In COLING 2010.
- Su Kim, Timothy Baldwin and Min-Yen Kan (2010). Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction. In COLING 2010.
- Timothy Baldwin, Jonathan Pool and Susan Colowick (2010). PanLex and LEXTRACT: Translating all Words of all Languages of the World. In COLING 2010.
- Trevor Cohn and Phil Blunsom (2010). Blocked Inference in Bayesian Tree Substitution Grammars. In ACL 2010.
- Li Wang, Su Kim and Timothy Baldwin (2010). Thread-level Analysis over Technical User Forum Data. In ALTA 2010.
- Marco Lui and Timothy Baldwin (2010). Classifying User Forum Participants: Separating the Gurus from the Hacks, and Other Tales of the Internet. In ALTA 2010.
- Timothy Baldwin and Marco Lui (2010). Multilingual Language Identification: ALTW 2010 Shared Task Data. In ALTA 2010.
2009
- Timothy Baldwin (2009). The hare and the tortoise: speed and accuracy in translation retrieval. In Machine Translation, Vol 23.
- Trevor Cohn and Mirella Lapata (2009). Sentence Compression as Tree Transduction. In J. Artif. Intell. Res., Vol 34.
- Timothy Baldwin, Takenobu Tokunaga and Jun'ichi Tsujii (2009). Hozumi Tanaka. In Computational Linguistics, Vol 35.
- Timothy Baldwin, Valia Kordoni and Aline Villavicencio (2009). Prepositions in Applications: A Survey and Introduction to the Special Issue. In Computational Linguistics, Vol 35.
- Karin Verspoor, K. Cohen and Lawrence Hunter (2009). The textual characteristics of traditional and Open Access scientific journals are similar. In BMC Bioinformatics, Vol 10.
- Karin Verspoor, Daniel Dvorkin, K. Cohen and Lawrence Hunter (2009). Ontology quality assurance through analysis of term transformations. In Bioinformatics, Vol 25.
- Andrew MacKinlay and Timothy Baldwin (2009). A Baseline Approach to the RTE5 Search Pilot. In TAC 2009.
- Stefan Jacobs, Alexander Ferrein, Stefan Schiffer, Daniel Beck and Gerhard Lakemeyer (2009). Robust Collision Avoidance in Unknown Domestic Environments. In RoboCup 2009.
- Jeremy Nicholson and Timothy Baldwin (2009). Web and Corpus Methods for Malay Count Classifier Prediction. In HLT:NAACL 2009.
- Meladel Mistica and Timothy Baldwin (2009). Recognising the Predicate-argument Structure of Tagalog. In HLT:NAACL 2009.
- Trevor Cohn, Sharon Goldwater and Phil Blunsom (2009). Inducing Compact but Accurate Tree-Substitution Grammars. In HLT:NAACL 2009.
- Trevor Cohn and Phil Blunsom (2009). A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. In EMNLP 2009.
- Josh Schroeder, Trevor Cohn and Philipp Koehn (2009). Word Lattices for Multi-Source Translation. In EACL 2009.
- Willy Yap and Timothy Baldwin (2009). Experiments on pattern-based relation learning. In CIKM 2009.
- Andrew MacKinlay, David Martinez and Timothy Baldwin (2009). Biomedical Event Annotation with CRFs and Precision Grammars. In Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task.
- K. Cohen, Karin Verspoor, Helen Johnson, Christophe Roeder, Philip Ogren, William Jr., Elizabeth White and Lawrence Hunter (2009). High-precision biological event extraction with a concept recognizer. In Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task.
- Timothy Baldwin and Manuel Joseph (2009). Restoring Punctuation and Casing in English Text. In AI 2009.
- Clinton Burfoot and Timothy Baldwin (2009). Automatic Satire Detection: Are You Having a Laugh?. In ACL 2009.
- Phil Blunsom, Trevor Cohn, Sharon Goldwater and Mark Johnson (2009). A Note on the Implementation of Hierarchical Dirichlet Processes. In ACL 2009.
- Phil Blunsom, Trevor Cohn, Chris Dyer and Miles Osborne (2009). A Gibbs Sampler for Phrasal Synchronous Grammar Induction. In ACL 2009.
- Meladel Mistica, I Arka, Timothy Baldwin and Avery Andrews (2009). Double Double, Morphology and Trouble: Looking into Reduplication in Indonesian. In ALTA 2009.
- Su Kim, Timothy Baldwin and Min-Yen Kan (2009). Extracting Domain-Specific Words - A Statistical Approach. In ALTA 2009.
- James Breen and Timothy Baldwin (2009). Corpus-based Extraction of Japanese Compound Verbs. In ALTA 2009.
2008
- Trevor Cohn, Chris Callison-Burch and Mirella Lapata (2008). Constructing Corpora for the Development and Evaluation of Paraphrase Systems. In Computational Linguistics, Vol 34.
- Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin and Liz Sonenberg (2008). Using interest and transition models to predict visitor locations in museums. In AI Commun., Vol 21.
- Cliff Joslyn, Patrick Paulson and Karin Verspoor (2008). Exploiting Term Relations for Semantic Hierarchy Construction. In ICSC 2008.
- Daniel Beck, Alexander Ferrein and Gerhard Lakemeyer (2008). Landmark-Based Representations for Navigating Holonomic Soccer Robots. In RoboCup 2008.
- Su Kim and Timothy Baldwin (2008). An unsupervised approach to interpreting noun compounds. In NLPKE 2008.
- Phil Blunsom, Trevor Cohn and Miles Osborne (2008). Bayesian Synchronous Grammar Induction. In NeurIPS 2008.
- Jeremy Nicholson, Valia Kordoni, Yi Zhang, Timothy Baldwin and Rebecca Dridan (2008). Evaluating and Extending the Coverage of HPSG Grammars: A Case Study for German. In LREC 2008.
- Su Kim and Timothy Baldwin (2008). Benchmarking Noun Compound Interpretation. In IJCNLP 2008.
- Timothy Baldwin, Su Kim, Francis Bond, Sanae Fujita, David Martinez and Takaaki Tanaka (2008). MRD-based Word Sense Disambiguation: Further Extending Lesk. In IJCNLP 2008.
- Lars Yencken and Timothy Baldwin (2008). Orthographic similarity search for dictionary lookup of Japanese words. In ECAI 2008.
- Lars Yencken and Timothy Baldwin (2008). Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji. In COLING 2008.
- Meladel Mistica, Timothy Baldwin, Marisa Cordella and Simon Musgrave (2008). Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments. In COLING 2008.
- Trevor Cohn and Mirella Lapata (2008). Sentence Compression Beyond Word Deletion. In COLING 2008.
- Chris Callison-Burch, Trevor Cohn and Mirella Lapata (2008). ParaMetric: An Automatic Evaluation Metric for Paraphrasing. In COLING 2008.
- Shou-De Lin and Karin Verspoor (2008). A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation. In CICLING 2008.
- Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin and Liz Sonenberg (2008). Using Collaborative Models to Adaptively Predict Visitor Locations in Museums. In AH.
- Shlomo Berkovsky, Timothy Baldwin and Ingrid Zukerman (2008). Aspect-Based Personalized Text Summarization. In AH.
- Phil Blunsom, Trevor Cohn and Miles Osborne (2008). A Discriminative Latent Variable Model for Statistical Machine Translation. In ACL 2008.
- Eneko Agirre, Timothy Baldwin and David Martinez (2008). Improving Parsing and PP Attachment Performance with Sense Information. In ACL 2008.
- Jeremy Nicholson and Timothy Baldwin (2008). Learning Count Classifier Preferences of Malay Nouns. In ALTA 2008.
- Olivia March and Timothy Baldwin (2008). Automatic Event Reference Identification. In ALTA 2008.
- Patrick Ye and Timothy Baldwin (2008). Towards Automatic Animated Storyboarding. In AAAI 2008.
2007
- Ichiro Yamada, Timothy Baldwin, Hideki Sumiyoshi, Masahiro Shibata and Nobuyuki Yagi (2007). Automatic Acquisition of Qualia Structure from Corpus Data. In IEICE Transactions, Vol 90-D.
- Patrick Ye and Timothy Baldwin (2007). MELB-YB: Preposition Sense Disambiguation Using Rich Semantic Features. In SEMEVAL 2007.
- David Martinez, Su Kim and Timothy Baldwin (2007). MELB-MKB: Lexical Substitution system based on Relatives in Context. In SEMEVAL 2007.
- David Martinez, Timothy Baldwin, Eneko Agirre and Oier Lacalle (2007). UBC-UMB: Combining unsupervised and supervised systems for all-words WSD. In SEMEVAL 2007.
- Su Kim and Timothy Baldwin (2007). MELB-KB: Nominal Classification as Noun Compound Interpretation. In SEMEVAL 2007.
- Cliff Joslyn, Karin Verspoor and Damian Gessler (2007). Knowledge Integration in OpenWorlds: Utilizing the Mathematics of Hierarchical Structure. In ICSC 2007.
- Daniel Beck, Alexander Ferrein and Gerhard Lakemeyer (2007). A Simulation Environment for Middle-Size Robots with Multi-level Abstraction. In RoboCup 2007.
- Timothy Baldwin (2007). Scalable Deep Linguistic Processing: Mind the Lexical Gap. In PACLIC.
- Karl Grieser, Timothy Baldwin and Steven Bird (2007). Dynamic Path Prediction and Recommendation in a Museum Environment. In Proceedings of the Workshop on Language Technology for Cultural Heritage Data.
- Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy King and Gertjan Noord (2007). The Impact of Deep Linguistic Processing on Parsing Technology. In IWPT 2007.
- Takaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita and Chikara Hashimoto (2007). Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information. In EMNLP-CoNLL 2007.
- Trevor Cohn and Mirella Lapata (2007). Large Margin Synchronous Generation and its Application to Sentence Compression. In EMNLP-CoNLL 2007.
- Sumukh Ghodke and Timothy Baldwin (2007). An Investigation into the Interaction Between Feature Selection and Discretization: Learning How and When to Read Numbers. In AI 2007.
- Trevor Cohn and Mirella Lapata (2007). Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora. In ACL 2007.
- Willy Yap and Timothy Baldwin (2007). Dictionary Alignment for Context-sensitive Word Glossing. In ALTA 2007.
- Su Kim, Meladel Mistica and Timothy Baldwin (2007). Extending Sense Collocations in Interpreting Noun Compounds. In ALTA 2007.
- Su Kim and Timothy Baldwin (2007). Disambiguating Noun Compounds. In AAAI 2007.
2006
- Patrick Ye and Timothy Baldwin (2006). Semantic role labeling of prepositional phrases. In ACM Trans. Asian Lang. Inf. Process., Vol 5.
- Ana Maguitman, Andreas Rechtsteiner, Karin Verspoor, Charlie Strauss and Luis Rocha (2006). Large-Scale Testing of Bibliome Informatics Using Pfam Protein Families. In Proceedings of the Pacific Symposium.
- Ulrich Schafer and Daniel Beck (2006). Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components. In LREC 2006.
- Baden Hughes, Timothy Baldwin, Steven Bird, Jeremy Nicholson and Andrew MacKinlay (2006). Reconsidering Language Identification for Written Language Resources. In LREC 2006.
- Timothy Baldwin and Su'ad Awab (2006). Open Source Corpus Analysis Tools for Malay. In LREC 2006.
- Lars Yencken and Timothy Baldwin (2006). Modelling the Orthographic Neighbourhood for Japanese Kanji. In ICCPOL.
- Phil Blunsom and Timothy Baldwin (2006). Multilingual Deep Lexical Acquisition for HPSGs via Supertagging. In EMNLP 2006.
- Trevor Cohn (2006). Efficient Inference in Large Conditional Random Fields. In ECML.
- Su Kim and Timothy Baldwin (2006). Interpreting Semantic Relations in Noun Compounds via Verb Semantics. In ACL 2006.
- Phil Blunsom and Trevor Cohn (2006). Discriminative Word Alignment with Conditional Random Fields. In ACL 2006.
- Patrick Ye and Timothy Baldwin (2006). Verb Sense Disambiguation Using Selectional Preferences Extracted with a State-of-the-art Semantic Role Labeler. In ALTA 2006.
- Jeremy Nicholson, Timothy Baldwin and Phil Blunsom (2006). Die Morphologie (f): Targeted Lexical Acquisition for Languages other than English. In ALTA 2006.
- Karl Grieser, Timothy Baldwin and Steven Bird (2006). Analysis and Prediction of User Behaviour in a Museum Environment. In ALTA 2006.
2005
- Kiyoko Uchiyama, Timothy Baldwin and Shun Ishizaki (2005). Disambiguating Japanese compound verbs. In Computer Speech & Language, Vol 19.
- Timothy Baldwin (2005). Deep lexical acquisition of verb-particle constructions. In Computer Speech & Language, Vol 19.
- Karin Verspoor, Judith Cohn, Cliff Joslyn, Susan Mniszewski, Andreas Rechtsteiner, Luis Rocha and Tiago Simas (2005). Protein annotation as term categorization in the gene ontology using word proximity networks. In BMC Bioinformatics, Vol 6.
- Patrick Ye and Timothy Baldwin (2005). Semantic Role Labelling of Prepositional Phrases. In IJCNLP.
- Su Kim and Timothy Baldwin (2005). Automatic Interpretation of Noun Compounds Using WordNet Similarity. In IJCNLP.
- Trevor Cohn and Phil Blunsom (2005). Semantic Role Labelling with Tree Conditional Random Fields. In CoNLL 2005.
- Andrew Smith, Trevor Cohn and Miles Osborne (2005). Logarithmic Opinion Pools for Conditional Random Fields. In ACL 2005.
- Trevor Cohn, Andrew Smith and Miles Osborne (2005). Scaling Conditional Random Fields Using Error-Correcting Codes. In ACL 2005.
- Lars Yencken and Timothy Baldwin (2005). Efficient Grapheme-phoneme Alignment for Japanese. In ALTA 2005.
- Jeremy Nicholson and Timothy Baldwin (2005). Statistical Interpretation of Compound Nominalisations. In ALTA 2005.
- Andrew MacKinlay and Timothy Baldwin (2005). POS Tagging with a More Informative Tagset. In ALTA 2005.
2004
- Ichiro Yamada and Timothy Baldwin (2004). Automatic Discovery of Telic and Agentive Roles from Corpus Data. In PACLIC.
- Aline Villavicencio, Timothy Baldwin and Benjamin Waldron (2004). A Multilingual Database of Idioms. In LREC 2004.
- Slaven Bilac, Timothy Baldwin and Hozumi Tanaka (2004). Evaluating the FOKS Error Model. In LREC 2004.
- Timothy Baldwin, Emily Bender, Dan Flickinger, Ara Kim and Stephan Oepen (2004). Road-testing the English Resource Grammar Over the British National Corpus. In LREC 2004.
2003
- Timothy Baldwin and Francis Bond (2003). A Plethora of Methods for Learning English Countability. In EMNLP 2003.
- Leonoor Beek and Timothy Baldwin (2003). Crosslingual Countability Classification with EuroWordNet. In Computational Linguistics in the Netherlands 2003.
- Timothy Baldwin and Francis Bond (2003). Learning the Countability of English Nouns from Corpus Data. In ACL 2003.
- Trevor Cohn (2003). Performance metrics for word sense disambiguation. In ALTA 2003.
- Timothy Baldwin and Leonoor Beek (2003). The Ins and Outs of Dutch noun countability classification. In ALTA 2003.
2002
- Ann Copestake, Fabre Lambeau, Aline Villavicencio, Francis Bond, Timothy Baldwin, Ivan Sag and Dan Flickinger (2002). Multiword expressions: linguistic precision and reusability. In LREC 2002.
- Timothy Baldwin, Slaven Bilac, Ryo Okumura, Takenobu Tokunaga and Hozumi Tanaka (2002). Enhanced Japanese Electronic Dictionary Look-up. In LREC 2002.
- Timothy Baldwin and Aline Villavicencio (2002). Extracting the Unextractable: A Case Study on Verb-particles. In CoNLL 2002.
- Slaven Bilac, Timothy Baldwin and Hozumi Tanaka (2002). Bringing the Dictionary to the User: The FOKS System. In COLING 2002.
- Ivan Sag, Timothy Baldwin, Francis Bond, Ann Copestake and Dan Flickinger (2002). Multiword Expressions: A Pain in the Neck for NLP. In CICLING 2002.
2001
- Timothy Baldwin, Atsushi Okazaki, Takenobu Tokunaga and Hozumi Tanaka (2001). The Japanese Translation Task: Lexical and Structural Perspectives. In SENSEVAL@ACL 2001.
- Timothy Baldwin (2001). Low-cost, High-Performance Translation Retrieval: Dumber is Better. In ACL 2001.
2000
- Timothy Baldwin and Hozumi Tanaka (2000). Verb Alternations and Japanese : How, What and Where. In PACLIC.
- Timothy Baldwin and Hozumi Tanaka (2000). The Effects of Word Order and Segmentation on Translation Retrieval Performance. In COLING 2000.
1998
- Robert Dale, Stephen Green, Maria Milosavljevic, Cecile Paris, Cornelia Verspoor and Sandra Williams (1998). Dynamic Document Delivery: Generating Natural Language Texts on Demand. In Ninth International Workshop on Database and Expert Systems Applications.
- Stephen Wan and Cornelia Verspoor (1998). Automatic English-Chinese Name Transliteration for Development of Multilingual Resources. In COLING-ACL '98.