| 2026 | ACL | SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia. | Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, Trevor Cohn, Peerat Limkonchotiwat |
| 2026 | ACL | SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian Languages. | Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, Trevor Cohn, Peerat Limkonchotiwat |
| 2026 | EACL | Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping. | Fan Jiang, Honglin Yu, Grace Chung, Trevor Cohn |
| 2025 | AAAI | Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts. | Sukai Huang, Nir Lipovetzky, Trevor Cohn |
| 2025 | ACL | TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. | Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2025 | ACL | Tulun: Transparent and Adaptable Low-resource Machine Translation. | Raphal Merx, Hanna Suominen, Lois Yinghui Hong, Nick Thieberger, Trevor Cohn, Ekaterina Vylomova |
| 2025 | EMNLP | LORAXBENCH: A Multitask, Multilingual Benchmark Suite for 20 Indonesian Languages. | Alham Fikri Aji, Trevor Cohn |
| 2025 | ICAPS | Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation. | Sukai Huang, Trevor Cohn, Nir Lipovetzky |
| 2025 | ICLR | Improving Language Model Distillation through Hidden State Matching. | Sayantan Dasgupta, Trevor Cohn |
| 2025 | ICLR | Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM. | Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn |
| 2024 | ACL | Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation. | Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp |
| 2024 | EMNLP | Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision. | Fan Jiang, Tom Drummond, Trevor Cohn |
| 2024 | NAACL | Revisiting subword tokenization: A case study on affixal negation in large language models. | Thinh Truong, Yulia Otmakhova, Karin Verspoor, Trevor Cohn, Timothy Baldwin |
| 2024 | NAACL | Backdoor Attacks on Multilingual Machine Translation. | Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | ACL | Cost-effective Distillation of Large Language Models. | Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin |
| 2023 | ACL | Predicting Human Translation Difficulty Using Automatic Word Alignment. | Zheng Wei Lim, Trevor Cohn, Charles Kemp, Ekaterina Vylomova |
| 2023 | ACL | A Survey for Efficient Open Domain Question Answering. | Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang |
| 2023 | ACL | Rethinking Round-Trip Translation for Machine Translation Evaluation. | Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn |
| 2023 | EACL | Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2023 | EACL | Don't Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion. | Fan Jiang, Tom Drummond, Trevor Cohn |
| 2023 | EACL | Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. | Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann |
| 2023 | EACL | Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. | Viktoria Schram, Daniel Beck, Trevor Cohn |
| 2023 | ECAI | Fingerprint Attack: Client De-Anonymization in Federated Learning. | Qiongkai Xu, Trevor Cohn, Olga Ohrimenko |
| 2023 | EMNLP | More than Votes? Voting and Language based Partisanship in the US Supreme Court. | Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2023 | EMNLP | Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. | Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | EMNLP | Noisy Self-Training with Synthetic Queries for Dense Retrieval. | Fan Jiang, Tom Drummond, Trevor Cohn |
| 2023 | EMNLP | Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. | Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn |
| 2023 | EMNLP | DeltaScore: Fine-Grained Story Evaluation with Perturbations. | Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau |
| 2023 | ICLR | Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2023 | IJCNLP | It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom. | Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2023 | INLG | The Next Chapter: A Study of Large Language Models in Storytelling. | Zhuohan Xie, Trevor Cohn, Jey Han Lau |
| 2022 | AAAI | Incorporating Constituent Syntax for Coreference Resolution. | Fan Jiang, Trevor Cohn |
| 2022 | ACL | Measuring and Mitigating Name Biases in Neural Machine Translation. | Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2022 | COLING | LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. | Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau |
| 2022 | ECIR | The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. | Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zenan Zhai, Zubair Afzal, Trevor Cohn, Timothy Baldwin, Karin Verspoor |
| 2022 | EMNLP | Balancing out Bias: Achieving Fairness Through Balanced Training. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2022 | EMNLP | FairLib: A Unified Framework for Assessing and Improving Fairness. | Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn |
| 2022 | EMNLP | Foiling Training-Time Attacks on Neural Machine Translation Systems. | Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2022 | IJCNLP | Systematic Evaluation of Predictive Fairness. | Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | IJCNLP | WAX: A New Dataset for Word Association eXplanations. | Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann |
| 2022 | IJCNLP | Does Representational Fairness Imply Empirical Fairness? | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | IJCNLP | Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. | Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor |
| 2022 | NAACL | Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. | Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn |
| 2022 | NAACL | Optimising Equal Opportunity Fairness in Model Training. | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | NAACL | Improving negation detection with negation-focused pre-training. | Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor |
| 2021 | ACL | Decoupling Adversarial Training for Fair NLP. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2021 | ACL | As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | ACL | Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | CoNLL | Commonsense Knowledge in Word Associations and ConceptNet. | Chunhua Liu, Trevor Cohn, Lea Frermann |
| 2021 | EACL | Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning. | Philip Arthur, Trevor Cohn, Gholamreza Haffari |
| 2021 | EACL | Diverse Adversaries for Mitigating Bias in Training. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2021 | EACL | PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. | Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn |
| 2021 | ECIR | ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. | Jiayuan He, Biaoyan Fang, Hiyori Yoshikawa, Yuan Li, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor |
| 2021 | EMNLP | Fairness-aware Class Imbalanced Learning. | Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann |
| 2021 | EMNLP | Evaluating Debiasing Techniques for Intersectional Biases. | Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann |
| 2021 | EMNLP | Mitigating Data Poisoning in Text Classification with Differential Privacy. | Chang Xu, Jun Wang, Francisco Guzmn, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | EMNLP | It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. | Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn, Ehsan Shareghi |
| 2021 | INLG | Generating Diverse Descriptions from Semantic Graphs. | Jiuzhou Han, Daniel Beck, Trevor Cohn |
| 2021 | NAACL | Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network. | Fan Jiang, Trevor Cohn |
| 2021 | NAACL | Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. | Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann |
| 2021 | WWW | A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. | Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmn, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2020 | ACL | Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. | Nitika Mathur, Timothy Baldwin, Trevor Cohn |
| 2020 | ECIR | ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. | Dat Quoc Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin, Karin Verspoor |
| 2020 | ICLR | Decoding As Dynamic Programming For Recurrent Autoregressive Models. | Najam Zaidi, Trevor Cohn, Gholamreza Haffari |
| 2019 | ACL | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. | Yitong Li, Timothy Baldwin, Trevor Cohn |
| 2019 | ACL | Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. | Nitika Mathur, Timothy Baldwin, Trevor Cohn |
| 2019 | ACL | Massively Multilingual Transfer for NER. | Afshin Rahimi, Yuan Li, Trevor Cohn |
| 2019 | EMNLP | Grounding learning of modifier dynamics: An application to color naming. | Xudong Han, Philip Schulz, Trevor Cohn |
| 2019 | EMNLP | Deep Ordinal Regression for Pledge Specificity Prediction. | Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin |
| 2019 | EMNLP | On the Role of Scene Graphs in Image Captioning. | Dalin Wang, Daniel Beck, Trevor Cohn |
| 2019 | ICASSP | A Unified Neural Architecture for Instrumental Audio Tasks. | Steven Spratley, Daniel Beck, Trevor Cohn |
| 2019 | ICML | Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. | Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2019 | NAACL | Contextualization of Morphological Inflection. | Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner |
| 2019 | WWW | Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. | Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2018 | ACL | Deep-speare: A joint neural model of poetic language, meter and rhyme. | Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond |
| 2018 | ACL | Semi-supervised User Geolocation via Graph Convolutional Networks. | Afshin Rahimi, Trevor Cohn, Timothy Baldwin |
| 2018 | ACL | Graph-to-Sequence Learning using Gated Graph Neural Networks. | Daniel Beck, Gholamreza Haffari, Trevor Cohn |
| 2018 | ACL | A Stochastic Decoder for Neural Machine Translation. | Philip Schulz, Wilker Aziz, Trevor Cohn |
| 2018 | ACL | Towards Robust and Privacy-preserving Text Representations. | Yitong Li, Timothy Baldwin, Trevor Cohn |
| 2018 | ACL | Narrative Modeling with Memory Chains and Semantic Supervision. | Fei Liu, Trevor Cohn, Timothy Baldwin |
| 2018 | ACL | Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. | Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn |
| 2018 | EMNLP | Evaluating the Utility of Hand-crafted Features in Sequence Labeling. | Minghao Wu, Fei Liu, Trevor Cohn |
| 2018 | LREC | Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. | Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud |
| 2018 | NAACL | What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. | Yitong Li, Timothy Baldwin, Trevor Cohn |
| 2018 | NAACL | Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. | Fei Liu, Trevor Cohn, Timothy Baldwin |
| 2018 | NAACL | Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. | Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin |
| 2017 | ACL | Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. | Meng Fang, Trevor Cohn |
| 2017 | ACL | Topically Driven Neural Language Model. | Jey Han Lau, Timothy Baldwin, Trevor Cohn |
| 2017 | ACL | A Neural Model for User Geolocation and Lexical Dialectology. | Afshin Rahimi, Trevor Cohn, Timothy Baldwin |
| 2017 | EACL | Robust Training under Linguistic Adversity. | Yitong Li, Trevor Cohn, Timothy Baldwin |
| 2017 | EACL | Context-Aware Prediction of Derivational Word-forms. | Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn |
| 2017 | EACL | Cross-Lingual Word Embeddings for Low-Resource Language Modeling. | Oliver Adams, Adam J. Makarucha, Graham Neubig, Steven Bird, Trevor Cohn |
| 2017 | EACL | Multilingual Training of Crosslingual Word Embeddings. | Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn |
| 2017 | EMNLP | Learning how to Active Learn: A Deep Reinforcement Learning Approach. | Meng Fang, Yuan Li, Trevor Cohn |
| 2017 | EMNLP | Towards Decoding as Continuous Optimisation in Neural Machine Translation. | Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn |
| 2017 | EMNLP | Sequence Effects in Crowdsourced Annotations. | Nitika Mathur, Timothy Baldwin, Trevor Cohn |
| 2017 | EMNLP | Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. | Afshin Rahimi, Timothy Baldwin, Trevor Cohn |
| 2017 | EMNLP | Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. | Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari |
| 2017 | IJCAI | Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. | Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn |
| 2017 | IJCAI | Compressed Nonparametric Language Modelling. | Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn |
| 2017 | IJCNLP | Learning Kernels over Strings using Gaussian Processes. | Daniel Beck, Trevor Cohn |
| 2017 | IJCNLP | End-to-end Network for Twitter Geolocation Prediction and Hashing. | Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn |
| 2017 | IJCNLP | Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. | Fei Liu, Timothy Baldwin, Trevor Cohn |
| 2017 | WWW | Pairwise Webpage Coreference Classification Using Distant Supervision. | Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn |
| 2016 | AAAI | Convolution Kernels for Discriminative Learning from Streaming Text. | Michal Lukasik, Trevor Cohn |
| 2016 | ACL | Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. | Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn |
| 2016 | ACL | pigeo: A Python Geotagging Tool. | Afshin Rahimi, Trevor Cohn, Timothy Baldwin |
| 2016 | ACL | Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. | Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin |
| 2016 | COLING | Succinct Data Structures for NLP-at-Scale. | Matthias Petri, Trevor Cohn |
| 2016 | CoNLL | Exploring Prediction Uncertainty in Machine Translation Quality Estimation. | Daniel Beck, Lucia Specia, Trevor Cohn |
| 2016 | CoNLL | Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. | Meng Fang, Trevor Cohn |
| 2016 | EMNLP | Learning a Lexicon and Translation Model from Phoneme Lattices. | Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura |
| 2016 | EMNLP | Learning Crosslingual Word Embeddings without Bilingual Corpora. | Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn |
| 2016 | EMNLP | Learning Robust Representations of Text. | Yitong Li, Trevor Cohn, Timothy Baldwin |
| 2016 | EMNLP | Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. | Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari |
| 2016 | Interspeech | Learning a Translation Model from Word Lattices. | Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird |
| 2016 | LREC | Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. | Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn |
| 2016 | NAACL | Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. | Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari |
| 2016 | NAACL | An Attentional Model for Speech Translation Without Transcription. | Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn |
| 2016 | NAACL | Incorporating Side Information into Recurrent Neural Network Language Models. | Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari |
| 2015 | AAAI | Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression. | Zsolt Bitvai, Trevor Cohn |
| 2015 | ACL | Non-Linear Text Regression with a Deep Convolutional Neural Network. | Zsolt Bitvai, Trevor Cohn |
| 2015 | ACL | Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser. | Long Duong, Trevor Cohn, Steven Bird, Paul Cook |
| 2015 | ACL | Point Process Modelling of Rumour Dynamics in Social Media. | Michal Lukasik, Trevor Cohn, Kalina Bontcheva |
| 2015 | ACL | Twitter User Geolocation Using a Unified Text and Network Prediction Model. | Afshin Rahimi, Trevor Cohn, Timothy Baldwin |
| 2015 | CoNLL | Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data. | Long Duong, Trevor Cohn, Steven Bird, Paul Cook |
| 2015 | EMNLP | A Neural Network Model for Low-Resource Universal Dependency Parsing. | Long Duong, Trevor Cohn, Steven Bird, Paul Cook |
| 2015 | EMNLP | Classifying Tweet Level Judgements of Rumours in Social Media. | Michal Lukasik, Trevor Cohn, Kalina Bontcheva |
| 2015 | EMNLP | Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. | Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva |
| 2015 | EMNLP | Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees. | Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn |
| 2015 | NAACL | Exploiting Text and Network Context for Geolocation of Social Media Users. | Afshin Rahimi, Duy Vu, Trevor Cohn, Timothy Baldwin |
| 2014 | ACL | Gaussian Processes for Natural Language Processing. | Trevor Cohn, Daniel Preotiuc-Pietro, Neil D. Lawrence |
| 2014 | ACL | Simple extensions and POS Tags for a reparameterised IBM Model 2. | Douwe Gelling, Trevor Cohn |
| 2014 | ACL | Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. | Vasileios Lampos, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn |
| 2014 | CoNLL | Factored Markov Translation with Robust Modeling. | Yang Feng, Trevor Cohn, Xinkai Du |
| 2014 | EACL | Predicting and Characterising User Impact on Twitter. | Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn |
| 2014 | EAMT | Data selection for discriminative training in statistical machine translation. | Xingyi Song, Lucia Specia, Trevor Cohn |
| 2014 | EMNLP | Joint Emotion Analysis via Multi-task Gaussian Processes. | Daniel Beck, Trevor Cohn, Lucia Specia |
| 2014 | EMNLP | What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages. | Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird, Paul Cook |
| 2013 | ACL | Reducing Annotation Effort for Quality Estimation via Active Learning. | Daniel Beck, Lucia Specia, Trevor Cohn |
| 2013 | ACL | An Infinite Hierarchical Bayesian Model of Phrasal Translation. | Trevor Cohn, Gholamreza Haffari |
| 2013 | ACL | Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation. | Trevor Cohn, Lucia Specia |
| 2013 | ACL | A Markov Model of Machine Translation using Non-parametric Bayesian Inference. | Yang Feng, Trevor Cohn |
| 2013 | ACL | A user-centric model of voting intention from Social Media. | Vasileios Lampos, Daniel Preotiuc-Pietro, Trevor Cohn |
| 2013 | ACL | QuEst - A translation quality estimation framework. | Lucia Specia, Kashif Shah, Jos G. C. de Souza, Trevor Cohn |
| 2013 | CICLING | Topic-Oriented Words as Features for Named Entity Recognition. | Ziqi Zhang, Trevor Cohn, Fabio Ciravegna |
| 2013 | EMNLP | A temporal model of text periodicities using Gaussian Processes. | Daniel Preotiuc-Pietro, Trevor Cohn |
| 2013 | ICASSP | Adaptation of lecture speech recognition system with machine translation output. | Raymond W. M. Ng, Thomas Hain, Trevor Cohn |
| 2012 | EMNLP | Left-to-Right Tree-to-String Decoding with Prediction. | Yang Feng, Yang Liu, Qun Liu, Trevor Cohn |
| 2012 | NAACL | Evaluating a Morphological Analyser of Inuktitut. | Jeremy Nicholson, Trevor Cohn, Timothy Baldwin |
| 2011 | ACL | A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction. | Phil Blunsom, Trevor Cohn |
| 2010 | ACL | Blocked Inference in Bayesian Tree Substitution Grammars. | Trevor Cohn, Phil Blunsom |
| 2010 | EMNLP | Multi-Document Summarization Using A* Search and Discriminative Learning. | Ahmet Aker, Trevor Cohn, Robert J. Gaizauskas |
| 2010 | EMNLP | Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing. | Phil Blunsom, Trevor Cohn |
| 2010 | NAACL | Inducing Synchronous Grammars with Slice Sampling. | Phil Blunsom, Trevor Cohn |
| 2009 | ACL | A Gibbs Sampler for Phrasal Synchronous Grammar Induction. | Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osborne |
| 2009 | ACL | A Note on the Implementation of Hierarchical Dirichlet Processes. | Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark Johnson |
| 2009 | EACL | Word Lattices for Multi-Source Translation. | Josh Schroeder, Trevor Cohn, Philipp Koehn |
| 2009 | EMNLP | A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. | Trevor Cohn, Phil Blunsom |
| 2009 | NAACL | Inducing Compact but Accurate Tree-Substitution Grammars. | Trevor Cohn, Sharon Goldwater, Phil Blunsom |
| 2008 | ACL | A Discriminative Latent Variable Model for Statistical Machine Translation. | Phil Blunsom, Trevor Cohn, Miles Osborne |
| 2008 | COLING | ParaMetric: An Automatic Evaluation Metric for Paraphrasing. | Chris Callison-Burch, Trevor Cohn, Mirella Lapata |
| 2008 | COLING | Sentence Compression Beyond Word Deletion. | Trevor Cohn, Mirella Lapata |
| 2007 | ACL | Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora. | Trevor Cohn, Mirella Lapata |
| 2007 | EMNLP | Large Margin Synchronous Generation and its Application to Sentence Compression. | Trevor Cohn, Mirella Lapata |
| 2006 | ACL | Discriminative Word Alignment with Conditional Random Fields. | Phil Blunsom, Trevor Cohn |
| 2005 | ACL | Scaling Conditional Random Fields Using Error-Correcting Codes. | Trevor Cohn, Andrew Smith, Miles Osborne |
| 2005 | ACL | Logarithmic Opinion Pools for Conditional Random Fields. | Andrew Smith, Trevor Cohn, Miles Osborne |
| 2005 | CoNLL | Semantic Role Labelling with Tree Conditional Random Fields. | Trevor Cohn, Phil Blunsom |