You can also find my articles on my Google Scholar profile or my DBLP profile. Code links are provided below, see also my GitHub page.

2023

• Thinh Truong, Timothy Baldwin, Karin Verspoor and Trevor Cohn (2023). Language models are not naysayers: an analysis of language models on negation benchmarks. In *SEM@ACL 2023.
• Chunhua Liu, Trevor Cohn and Lea Frermann (2023). Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. In *SEM@ACL 2023.
• Zhuohan Xie, Trevor Cohn and Jey Lau (2023). The Next Chapter: A Study of Large Language Models in Storytelling. In INLG 2023.
• Xudong Han, Timothy Baldwin and Trevor Cohn (2023). Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. In ICLR 2023.
• Zhuohan Xie, Miao Li, Trevor Cohn and Jey Lau (2023). DeltaScore: Fine-Grained Story Evaluation with Perturbations. In EMNLP.
• Fan Jiang, Qiongkai Xu, Tom Drummond and Trevor Cohn (2023). Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. In EMNLP.
• Fan Jiang, Tom Drummond and Trevor Cohn (2023). Noisy Self-Training with Synthetic Queries for Dense Retrieval. In EMNLP.
• Xuanli He, Qiongkai Xu, Jun Wang, Benjamin Rubinstein and Trevor Cohn (2023). Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. In EMNLP 2023.
• Biaoyan Fang, Trevor Cohn, Timothy Baldwin and Lea Frermann (2023). More than Votes? Voting and Language based Partisanship in the US Supreme Court. In EMNLP.
• Qiongkai Xu, Trevor Cohn and Olga Ohrimenko (2023). Fingerprint Attack: Client De-Anonymization in Federated Learning. In ECAI 2023.
• Viktoria Schram, Daniel Beck and Trevor Cohn (2023). Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. In EACL 2023.
• Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak and Lea Frermann (2023). Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. In EACL 2023.
• Fan Jiang, Tom Drummond and Trevor Cohn (2023). Don't Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion. In EACL 2023.
• Xudong Han, Timothy Baldwin and Trevor Cohn (2023). Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. In EACL 2023.
• Terry Zhuo, Qiongkai Xu, Xuanli He and Trevor Cohn (2023). Rethinking Round-Trip Translation for Machine Translation Evaluation. In ACL.
• Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn and Meng Fang (2023). A Survey for Efficient Open Domain Question Answering. In ACL 2023.
• Zheng Lim, Trevor Cohn, Charles Kemp and Ekaterina Vylomova (2023). Predicting Human Translation Difficulty Using Automatic Word Alignment. In ACL.
• Sayantan Dasgupta, Trevor Cohn and Timothy Baldwin (2023). Cost-effective Distillation of Large Language Models. In ACL.

2022

• Thinh Truong, Timothy Baldwin, Trevor Cohn and Karin Verspoor (2022). Improving negation detection with negation-focused pre-training. In NAACL 2022.
• Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022). Optimising Equal Opportunity Fairness in Model Training. In NAACL 2022.
• Kemal Kurniawan, Lea Frermann, Philip Schulz and Trevor Cohn (2022). Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. In NAACL 2022.
• Thinh Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Lau and Karin Verspoor (2022). Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. In AACL-IJCNLP 2022.
• Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022). Does Representational Fairness Imply Empirical Fairness?. In Findings AACL-IJCNLP 2022.
• Chunhua Liu, Trevor Cohn, Simon Deyne and Lea Frermann (2022). WAX: A New Dataset for Word Association eXplanations. In AACL-IJCNLP 2022.
• Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin and Lea Frermann (2022). Systematic Evaluation of Predictive Fairness. In AACL-IJCNLP 2022.
• Jun Wang, Xuanli He, Benjamin Rubinstein and Trevor Cohn (2022). Foiling Training-Time Attacks on Neural Machine Translation Systems. In EMNLP.
• Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin and Trevor Cohn (2022). FairLib: A Unified Framework for Assessing and Improving Fairness. In Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing.
• Xudong Han, Timothy Baldwin and Trevor Cohn (2022). Balancing out Bias: Achieving Fairness Through Balanced Training. In EMNLP 2022.
• Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2022). The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. In ECIR 2022.
• Yulia Otmakhova, Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor and Jey Lau (2022). LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. In SDP@COLING 2022.
• Jun Wang, Benjamin Rubinstein and Trevor Cohn (2022). Measuring and Mitigating Name Biases in Neural Machine Translation. In ACL 2022.
• Fan Jiang and Trevor Cohn (2022). Incorporating Constituent Syntax for Coreference Resolution. In AAAI 2022.

2021

• Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber Akhondi, Dat Nguyen, Trevor Cohn and Karin Verspoor (2021). ChemTables: a dataset for semantic classification on tables in chemical patents. In J. Cheminformatics, Vol 13.
• Jiayuan He, Dat Nguyen, Saber Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2021). ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents. In Frontiers Res. Metrics Anal., Vol 6.
• Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzm'an, Benjamin Rubinstein and Trevor Cohn (2021). A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. In WWW 2021.
• Hung-Thinh Truong, Yulia Otmakhova, Timothy Baldwin, Jey Lau, Trevor Cohn, Karin Verspoor, Rahmad Mahendra, Lawrence Cavedon and Damiano Spina (2021). ITTC @ TREC 2021 Clinical Trials Track. In TREC 2021.
• Kemal Kurniawan, Lea Frermann, Philip Schulz and Trevor Cohn (2021). PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. In SEMEVAL 2021.
• Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin and Lea Frermann (2021). Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. In NAACL-HLT 2021.
• Fan Jiang and Trevor Cohn (2021). Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network. In NAACL-HLT 2021.
• Jiuzhou Han, Daniel Beck and Trevor Cohn (2021). Generating Diverse Descriptions from Semantic Graphs. In INLG 2021.
• Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn and Ehsan Shareghi (2021). It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. In EMNLP 2021.
• Chang Xu, Jun Wang, Francisco Guzm'an, Benjamin Rubinstein and Trevor Cohn (2021). Mitigating Data Poisoning in Text Classification with Differential Privacy. In Findings of EMNLP 2021.
• Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn and Lea Frermann (2021). Evaluating Debiasing Techniques for Intersectional Biases. In EMNLP 2021.
• Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn and Lea Frermann (2021). Fairness-aware Class Imbalanced Learning. In EMNLP 2021.
• Jiayuan He, Biaoyan Fang, Hiyori Yoshikawa, Yuan Li, Saber Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2021). ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. In ECIR 2021.
• Kemal Kurniawan, Lea Frermann, Philip Schulz and Trevor Cohn (2021). PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. In EACL 2021.
• Xudong Han, Timothy Baldwin and Trevor Cohn (2021). Diverse Adversaries for Mitigating Bias in Training. In EACL 2021.
• Philip Arthur, Trevor Cohn and Gholamreza Haffari (2021). Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning. In EACL 2021.
• Chunhua Liu, Trevor Cohn and Lea Frermann (2021). Commonsense Knowledge in Word Associations and ConceptNet. In CoNLL 2021.
• Jun Wang, Chang Xu, Francisco Guzm'an, Ahmed El-Kishky, Yuqing Tang, Benjamin Rubinstein and Trevor Cohn (2021). Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. In Findings ACL/IJCNLP 2021.
• Jun Wang, Chang Xu, Francisco Guzm'an, Ahmed El-Kishky, Benjamin Rubinstein and Trevor Cohn (2021). As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. In Findings ACL/IJCNLP 2021.
• Xudong Han, Timothy Baldwin and Trevor Cohn (2021). Decoupling Adversarial Training for Fair NLP. In Findings ACL/IJCNLP 2021.

2020

• Najam Zaidi, Trevor Cohn and Gholamreza Haffari (2020). Decoding As Dynamic Programming For Recurrent Autoregressive Models. In ICLR 2020.
• Dat Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber Akhondi, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2020). ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. In ECIR 2020.
• Jiayuan He, Dat Nguyen, Saber Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang, Mai Dao, Pedro Ruas, Andre Lamurias, Francisco Couto, Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro, Daniel Lowe, John Mayfield, Abdullatif K"oksal, Hilal D"onmez, Elif "Ozkirimli, Arzucan "Ozg"ur, Darshini Mahendran, Gabrielle Gurdin, Nastassja Lewinski, Christina Tang, Bridget McInnes, C. Malarkodi, Pattabhi Rao, Sobha Devi, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2020). An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents. In Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum.
• Jiayuan He, Dat Nguyen, Saber Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin and Karin Verspoor (2020). Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. In CLEF 2020.
• Nitika Mathur, Timothy Baldwin and Trevor Cohn (2020). Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. In ACL 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.
• Yuan Li, Benjamin Rubinstein and Trevor Cohn (2019). Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. In WWW 2019.
• Daniel Beck, Trevor Cohn and Gholamreza Haffari (2019). Neural Speech Translation using Lattice Transformations and Graph Networks. In TextGraphs 2019.
• Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin (2019). Target Based Speech Act Classification in Political Campaign Text. In *SEM@NAACL-HLT 2019.
• Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin and Jason Eisner (2019). Contextualization of Morphological Inflection. In NAACL-HLT 2019.
• Yuan Li, Benjamin Rubinstein and Trevor Cohn (2019). Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. In ICML 2019.
• Steven Spratley, Daniel Beck and Trevor Cohn (2019). A Unified Neural Architecture for Instrumental Audio Tasks. In ICASSP 2019.
• Dalin Wang, Daniel Beck and Trevor Cohn (2019). On the Role of Scene Graphs in Image Captioning. In LANTERN@EMNLP-IJCNLP 2019.
• Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin (2019). Deep Ordinal Regression for Pledge Specificity Prediction. 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.
• 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 Proceedings of the 18th BioNLP Workshop and Shared Task. [code]
• Afshin Rahimi, Yuan Li and Trevor Cohn (2019). Massively Multilingual Transfer for NER. In ACL 2019. [code]
• 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.
• Zhuohan Xie, Jey Lau and Trevor Cohn (2019). From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. In ALTA 2019.

2018

• Alexis Michaud, Oliver Adams, Trevor Cohn, Graham Neubig and Séverine Guillaume (2018). Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the PERSEPHONE toolkit. In Language Documentation and Conservation.
• Michael Pianta, Eve Makrai, Karin Verspoor, Trevor Cohn and Laura Downie (2018). Crowdsourcing Critical Appraisal of Research Evidence (CrowdCARE) was found to be a valid approach to assessing clinical research quality. In Journal of Clinical Epidemiology.
• 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. Manag., Vol 54.
• Nagesh Chandrasekarasastry, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao (2018). Exploiting graph kernels for high performance biomedical relation extraction. In J. Biomed. Semant., Vol 9.
• 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. [code]
• 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. [code]
• 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.
• Minghao Wu, Fei Liu and Trevor Cohn (2018). Evaluating the Utility of Hand-crafted Features in Sequence Labeling. In EMNLP 2018.
• Taro Miyazaki, Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2018). Twitter Geolocation using Knowledge-Based Methods. In NUT@EMNLP 2018.
• Vu 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. [code]
• Yitong Li, Timothy Baldwin and Trevor Cohn (2018). Towards Robust and Privacy-preserving Text Representations. In ACL 2018. [code]
• Philip Schulz, Wilker Aziz and Trevor Cohn (2018). A Stochastic Decoder for Neural Machine Translation. In ACL 2018. [code]
• Daniel Beck, Gholamreza Haffari and Trevor Cohn (2018). Graph-to-Sequence Learning using Gated Graph Neural Networks. In ACL 2018. [code]
• Afshin Rahimi, Trevor Cohn and Timothy Baldwin (2018). Semi-supervised User Geolocation via Graph Convolutional Networks. In ACL 2018.
• Jey 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. [code]
• Nitika Mathur, Timothy Baldwin and Trevor Cohn (2018). Towards Efficient Machine Translation Evaluation by Modelling Annotators. In ALTA 2018.
• Vu Hoang, Gholamreza Haffari and Trevor Cohn (2018). Improved Neural Machine Translation using Side Information. In ALTA 2018.

2017

• Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta and Pengcheng Yin (2017). DyNet: The Dynamic Neural Network Toolkit. In CoRR, Vol abs/1701.03980.
• Shivashankar Subramanian, Timothy Baldwin, Julian Brooke and Trevor Cohn (2017). Pairwise Webpage Coreference Classification Using Distant Supervision. In WWW 2017.
• Fei Liu, Timothy Baldwin and Trevor Cohn (2017). Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. In IJCNLP 2017.
• Jey 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.
• 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.
• 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. [code]
• Nitika Mathur, Timothy Baldwin and Trevor Cohn (2017). Sequence Effects in Crowdsourced Annotations. In EMNLP 2017.
• Vu Hoang, Gholamreza Haffari and Trevor Cohn (2017). Towards Decoding as Continuous Optimisation in Neural Machine Translation. In EMNLP 2017. [code]
• Meng Fang, Yuan Li and Trevor Cohn (2017). Learning how to Active Learn: A Deep Reinforcement Learning Approach. In EMNLP 2017. [code]
• 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.
• 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.
• 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.
• 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 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 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.
• Fei Liu, Trevor Cohn and Timothy Baldwin (2017). Improving End-to-End Memory Networks with Unified Weight Tying. In ALTA 2017.
• Oliver Adams, Trevor Cohn, Graham Neubig and Alexis Michaud (2017). Phonemic Transcription of Low-Resource Tonal Languages. In ALTA 2017.

2016

• Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer and Jacob Eisenstein (2016). Document Context Language Models. In Proceedings of International Conference on Learning Representations Workshop.
• Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn (2016). Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. In Trans. Assoc. Comput. Linguistics, Vol 4. [code]
• Nagesh Chandrasekarasastry, Karin Verspoor, Trevor Cohn and Kotagiri Ramamohanarao (2016). Exploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction. In SMBM 2016.
• Vu 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. [code]
• Trevor Cohn, Vu 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. [code]
• 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.
• Oliver Adams, Graham Neubig, Trevor Cohn and Steven Bird (2016). Learning a Translation Model from Word Lattices. In INTERSPEECH 2016. [code]
• Ehsan Shareghi, Trevor Cohn and Gholamreza Haffari (2016). Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. In EMNLP 2016.
• Yitong Li, Trevor Cohn and Timothy Baldwin (2016). Learning Robust Representations of Text. In EMNLP 2016. [code]
• Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn (2016). Learning Crosslingual Word Embeddings without Bilingual Corpora. In EMNLP 2016. [code]
• 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. [code]
• Daniel Beck, Lucia Specia and Trevor Cohn (2016). Exploring Prediction Uncertainty in Machine Translation Quality Estimation. In CoNLL 2016.
• Matthias Petri and Trevor Cohn (2016). Succinct Data Structures for NLP-at-Scale. 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 Proceedings of the 4th BioNLP Shared Task Workshop.
• 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 Proceedings of ACL-2016 System Demonstrations. [code]
• 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. [code]
• Vu 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.
• 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 Trans. Assoc. Comput. Linguistics, Vol 3.
• Kashif Shah, Trevor Cohn and Lucia Specia (2015). A Bayesian non-linear method for feature selection in machine translation quality estimation. In Mach. Transl., Vol 29.
• Zsolt Bitvai and Trevor Cohn (2015). Day trading profit maximization with multi-task learning and technical analysis. In Mach. Learn., Vol 101.
• Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh and Chris Dyer (2015). Depth-Gated LSTM. In CoRR, Vol abs/1508.03790.
• Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn and Ann Nicholson (2015). Structured Prediction of Sequences and Trees Using Infinite Contexts. In ECML PKDD 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.
• Oliver Adams, Graham Neubig, Trevor Cohn and Steven Bird (2015). Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions. In IWSLT 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. [code]
• Long Duong, Trevor Cohn, Steven Bird and Paul Cook (2015). A Neural Network Model for Low-Resource Universal Dependency Parsing. In EMNLP 2015.
• Long Duong, Trevor Cohn, Steven Bird and Paul Cook (2015). Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data. In CoNLL 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.
• 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.
• Zsolt Bitvai and Trevor Cohn (2015). Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression. In AAAI 2015.

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. [code]
• Xingyi Song, Lucia Specia and Trevor Cohn (2014). Data selection for discriminative training in statistical machine translation. In EAMT 2014.
• Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro and Trevor Cohn (2014). Predicting and Characterising User Impact on Twitter. In EACL 2014.
• Yang Feng, Trevor Cohn and Xinkai Du (2014). Factored Markov Translation with Robust Modeling. In CoNLL 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.
• Douwe Gelling and Trevor Cohn (2014). Simple extensions and POS Tags for a reparameterised IBM Model 2. In ACL 2014. [code]
• Trevor Cohn, Daniel Preotiuc-Pietro and Neil Lawrence (2014). Gaussian Processes for Natural Language Processing. In ACL 2014.

2013

• Trevor Cohn and Mirella Lapata (2013). An abstractive approach to sentence compression. In ACM Trans. Intell. Syst. Technol., Vol 4. [code]
• Xingyi Song, Trevor Cohn and Lucia Specia (2013). BLEU Deconstructed: Designing a Better MT Evaluation Metric. In Int. J. Comput. Linguistics Appl., Vol 4.
• 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.
• 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.
• Lucia Specia, Kashif Shah, Jos'e 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.
• 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.

2012

• Daniel Preotiuc-Pietro, Sina Samangooei, Trevor Cohn, Nicholas Gibbins and Mahesan Niranjan (2012). Trendminer: An Architecture for Real Time Analysis of Social Media Text. In Proceedings of the Workshop on Real-Time Analysis and Mining of Social Streams at ICWSM.
• Douwe Gelling, Trevor Cohn, Phil Blunsom and Joao Graca (2012). The PASCAL Challenge on Grammar Induction. In Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure.
• Douwe Gelling and Trevor Cohn (2012). Using Senses in HMM Word Alignment. In Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure.
• Ahmet Aker, Trevor Cohn and Robert Gaizauskas (2012). Redundancy reduction for multi-document summaries using A* search and discriminative training. In Proceedings of the Workshop on Automatic Text Summarization of the Future.
• 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, Trevor Cohn and Timothy Baldwin (2012). Evaluating a Morphological Analyser of Inuktitut. In HLT:NAACL 2012.
• Yang Feng, Yang Liu, Qun Liu and Trevor Cohn (2012). Left-to-Right Tree-to-String Decoding with Prediction. In EMNLP-CoNLL 2012.

2011

• Xingyi Song and Trevor Cohn (2011). Regression and Ranking based Optimisation for Sentence Level MT Evaluation. In WMT@EMNLP 2011.
• Phil Blunsom and Trevor Cohn (2011). A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction. In ACL 2011.

2010

• Trevor Cohn, Phil Blunsom and Sharon Goldwater (2010). Inducing Tree-Substitution Grammars. In J. Mach. Learn. Res., Vol 11.
• Phil Blunsom and Trevor Cohn (2010). Inducing Synchronous Grammars with Slice Sampling. In HLT:NAACL 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.
• Trevor Cohn and Phil Blunsom (2010). Blocked Inference in Bayesian Tree Substitution Grammars. In ACL 2010.

2009

• Trevor Cohn and Mirella Lapata (2009). Sentence Compression as Tree Transduction. In J. Artif. Intell. Res., Vol 34.
• 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.
• 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.

2008

• Trevor Cohn, Chris Callison-Burch and Mirella Lapata (2008). Constructing Corpora for the Development and Evaluation of Paraphrase Systems. In Comput. Linguistics, Vol 34.
• Phil Blunsom, Trevor Cohn and Miles Osborne (2008). Bayesian Synchronous Grammar Induction. In NeurIPS 2008.
• Trevor Cohn and Mirella Lapata (2008). Sentence Compression Beyond Word Deletion. In COLING 2008. [code]
• Chris Callison-Burch, Trevor Cohn and Mirella Lapata (2008). ParaMetric: An Automatic Evaluation Metric for Paraphrasing. In COLING 2008.
• Phil Blunsom, Trevor Cohn and Miles Osborne (2008). A Discriminative Latent Variable Model for Statistical Machine Translation. In ACL 2008.

2007

• Trevor Cohn and Mirella Lapata (2007). Large Margin Synchronous Generation and its Application to Sentence Compression. In EMNLP-CoNLL 2007.
• Trevor Cohn and Mirella Lapata (2007). Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora. In ACL 2007.

2006

• Trevor Cohn (2006). Efficient Inference in Large Conditional Random Fields. In ECML.
• Phil Blunsom and Trevor Cohn (2006). Discriminative Word Alignment with Conditional Random Fields. In ACL 2006.

2005

• 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.

2003

• Trevor Cohn (2003). Performance metrics for word sense disambiguation. In ALTA 2003.