Trevor Cohn

ORCID

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 239

Top Venues

Publications

Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau
DeltaScore: Fine-Grained Story Evaluation with Perturbations. EMNLP (Findings) (2023)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
A Survey for Efficient Open Domain Question Answering. ACL (1) (2023)
Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. EMNLP (2023)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann
Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. EACL (2023)
Fan Jiang, Tom Drummond, Trevor Cohn
Noisy Self-Training with Synthetic Queries for Dense Retrieval. EMNLP (Findings) (2023)
Fan Jiang, Tom Drummond, Trevor Cohn
Noisy Self-Training with Synthetic Queries for Dense Retrieval. CoRR (2023)
Xudong Han, Timothy Baldwin, Trevor Cohn
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. CoRR (2023)
Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau
DeltaScore: Evaluating Story Generation with Differentiating Perturbations. CoRR (2023)
Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. EMNLP (Findings) (2023)
Zhuohan Xie, Trevor Cohn, Jey Han Lau
Can Very Large Pretrained Language Models Learn Storytelling With A Few Examples? CoRR (2023)
Fan Jiang, Tom Drummond, Trevor Cohn
Don't Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion. EACL (2023)
Zheng Wei Lim, Ekaterina Vylomova, Charles Kemp, Trevor Cohn
Predicting Human Translation Difficulty with Neural Machine Translation. CoRR (2023)
Xudong Han, Timothy Baldwin, Trevor Cohn
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. EACL (2023)
Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, Trevor Cohn
Language models are not naysayers: an analysis of language models on negation benchmarks. *SEM@ACL (2023)
Chunhua Liu, Trevor Cohn, Lea Frermann
Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. *SEM@ACL (2023)
Qiongkai Xu, Trevor Cohn, Olga Ohrimenko
Fingerprint Attack: Client De-Anonymization in Federated Learning. ECAI (2023)
Xuanli He, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks. CoRR (2023)
Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. CoRR (2023)
Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, Trevor Cohn
Language models are not naysayers: An analysis of language models on negation benchmarks. CoRR (2023)
Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. CoRR (2023)
Zheng Wei Lim, Trevor Cohn, Charles Kemp, Ekaterina Vylomova
Predicting Human Translation Difficulty Using Automatic Word Alignment. ACL (Findings) (2023)
Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann
More than Votes? Voting and Language based Partisanship in the US Supreme Court. EMNLP (Findings) (2023)
Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin
Cost-effective Distillation of Large Language Models. ACL (Findings) (2023)
Sukai Huang, Nir Lipovetzky, Trevor Cohn
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents. CoRR (2023)
Jinrui Yang, Timothy Baldwin, Trevor Cohn
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval. CoRR (2023)
Qiongkai Xu, Trevor Cohn, Olga Ohrimenko
Fingerprint Attack: Client De-Anonymization in Federated Learning. CoRR (2023)
Viktoria Schram, Daniel Beck, Trevor Cohn
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. EACL (2023)
Zhuohan Xie, Trevor Cohn, Jey Han Lau
The Next Chapter: A Study of Large Language Models in Storytelling. INLG (2023)
Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn
Rethinking Round-Trip Translation for Machine Translation Evaluation. ACL (Findings) (2023)
Xudong Han, Timothy Baldwin, Trevor Cohn
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. ICLR (2023)
Fan Jiang, Trevor Cohn
Incorporating Constituent Syntax for Coreference Resolution. AAAI (2022)
Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann
Systematic Evaluation of Predictive Fairness. AACL/IJCNLP (1) (2022)
Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn
Foiling Training-Time Attacks on Neural Machine Translation Systems. EMNLP (Findings) (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Optimising Equal Opportunity Fairness in Model Training. NAACL-HLT (2022)
Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. CoRR (2022)
Fan Jiang, Trevor Cohn
Incorporating Constituent Syntax for Coreference Resolution. CoRR (2022)
Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor
Improving negation detection with negation-focused pre-training. CoRR (2022)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. NAACL-HLT (2022)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
A Survey for Efficient Open Domain Question Answering. CoRR (2022)
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) (2022)
Yulia Otmakhova, Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, Jey Han Lau
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation. SDP@COLING (2022)
Xudong Han, Timothy Baldwin, Trevor Cohn
Towards Equal Opportunity Fairness through Adversarial Learning. CoRR (2022)
You Guo, Jun Wang, Trevor Cohn
Detecting Backdoors in Deep Text Classifiers. CoRR (2022)
Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann
Systematic Evaluation of Predictive Fairness. CoRR (2022)
Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. AACL/IJCNLP (1) (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Does Representational Fairness Imply Empirical Fairness? AACL/IJCNLP (Findings) (2022)
Thinh Hung Truong, Yulia Otmakhova, Rahmad Mahendra, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Lawrence Cavedon, Damiano Spina, Karin Verspoor
ITTC @ TREC 2021 Clinical Trials Track. CoRR (2022)
Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
Measuring and Mitigating Name Biases in Neural Machine Translation. ACL (1) (2022)
Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor
Improving negation detection with negation-focused pre-training. NAACL-HLT (2022)
Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR (2022)
Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn
Rethinking Round-trip Translation for Automatic Machine Translation Evaluation. CoRR (2022)
Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann
WAX: A New Dataset for Word Association eXplanations. AACL/IJCNLP (1) (2022)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Optimising Equal Opportunity Fairness in Model Training. CoRR (2022)
Xudong Han, Timothy Baldwin, Trevor Cohn
Balancing out Bias: Achieving Fairness Through Balanced Training. EMNLP (2022)
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
The ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. ECIR (2) (2022)
Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin, Trevor Cohn, Jey Han Lau, Karin Verspoor
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation. CoRR (2022)
Fan Jiang, Trevor Cohn
Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network. NAACL-HLT (2021)
Xudong Han, Timothy Baldwin, Trevor Cohn
Decoupling Adversarial Training for Fair NLP. ACL/IJCNLP (Findings) (2021)
Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn, Ehsan Shareghi
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. EMNLP (1) (2021)
Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. WWW (2021)
Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann
Evaluating Debiasing Techniques for Intersectional Biases. EMNLP (1) (2021)
Philip Arthur, Trevor Cohn, Gholamreza Haffari
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning. EACL (2021)
Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor
ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents. Frontiers Res. Metrics Anal. 6 (2021)
Chunhua Liu, Trevor Cohn, Lea Frermann
Commonsense Knowledge in Word Associations and ConceptNet. CoNLL (2021)
Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann
Evaluating Debiasing Techniques for Intersectional Biases. CoRR (2021)
Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. CoRR (2021)
Jiuzhou Han, Daniel Beck, Trevor Cohn
Generating Diverse Descriptions from Semantic Graphs. INLG (2021)
Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn, Ehsan Shareghi
It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. CoRR (2021)
Chunhua Liu, Trevor Cohn, Lea Frermann
Commonsense Knowledge in Word Associations and ConceptNet. CoRR (2021)
Jiuzhou Han, Daniel Beck, Trevor Cohn
Generating Diverse Descriptions from Semantic Graphs. CoRR (2021)
Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. ACL/IJCNLP (Findings) (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. SemEval@ACL/IJCNLP (2021)
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann
Fairness-aware Class Imbalanced Learning. EMNLP (1) (2021)
Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. ACL/IJCNLP (Findings) (2021)
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
ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. ECIR (2) (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. CoRR (2021)
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann
Fairness-aware Class Imbalanced Learning. CoRR (2021)
Xudong Han, Timothy Baldwin, Trevor Cohn
Balancing out Bias: Achieving Fairness Through Training Reweighting. CoRR (2021)
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann
Contrastive Learning for Fair Representations. CoRR (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. EACL (2021)
Hung-Thinh Truong, Yulia Otmakhova, Timothy Baldwin, Jey Han Lau, Trevor Cohn, Karin Verspoor, Rahmad Mahendra, Lawrence Cavedon, Damiano Spina
ITTC @ TREC 2021 Clinical Trials Track. TREC (2021)
Zhuohan Xie, Trevor Cohn, Jey Han Lau
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders. CoRR (2021)
Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A. Akhondi, Dat Quoc Nguyen, Trevor Cohn, Karin Verspoor
ChemTables: a dataset for semantic classification on tables in chemical patents. J. Cheminformatics 13 (1) (2021)
Xudong Han, Timothy Baldwin, Trevor Cohn
Diverse Adversaries for Mitigating Bias in Training. CoRR (2021)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. CoRR (2021)
Xudong Han, Timothy Baldwin, Trevor Cohn
Diverse Adversaries for Mitigating Bias in Training. EACL (2021)
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. CoRR (2021)
Jun Wang, Chang Xu, Francisco Guzmán, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. CoRR (2021)
Chang Xu, Jun Wang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn
Mitigating Data Poisoning in Text Classification with Differential Privacy. EMNLP (Findings) (2021)
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. NAACL-HLT (2021)
Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. CoRR (2020)
Philip Arthur, Trevor Cohn, Gholamreza Haffari
Learning Coupled Policies for Simultaneous Machine Translation. CoRR (2020)
Jiayuan He, Dat Quoc Nguyen, Saber A. 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 Hoang Dao, Pedro Ruas, Andre Lamurias, Francisco M. Couto, Jenny Copara, Nona Naderi, Julien Knafou, Patrick Ruch, Douglas Teodoro, Daniel M. Lowe, John Mayfield, Abdullatif Köksal, Hilal Dönmez, Elif Özkirimli, Arzucan Özgür, Darshini Mahendran, Gabrielle Gurdin, Nastassja Lewinski, Christina Tang, Bridget T. McInnes, C. S. Malarkodi, Pattabhi Rk Rao, Sobha Lalitha Devi, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents. CLEF (Working Notes) (2020)
Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor
Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. CLEF (2020)
Dat Quoc Nguyen, Zenan Zhai, Hiyori Yoshikawa, Biaoyan Fang, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Saber A. Akhondi, Trevor Cohn, Timothy Baldwin, Karin Verspoor
ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents. ECIR (2) (2020)
Najam Zaidi, Trevor Cohn, Gholamreza Haffari
Decoding As Dynamic Programming For Recurrent Autoregressive Models. ICLR (2020)
Nitika Mathur, Timothy Baldwin, Trevor Cohn
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. ACL (2020)
Nitika Mathur, Tim Baldwin, Trevor Cohn
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. CoRR (2020)
Yitong Li, Timothy Baldwin, Trevor Cohn
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. CoRR (2019)
Steven Spratley, Daniel Beck, Trevor Cohn
A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Trevor Cohn