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ORCIDTrevor Cohn
Trevor Anthony Cohn
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[j16]Zheng Wei Lim
, Harry Stuart, Simon De Deyne, Terry Regier, Ekaterina Vylomova, Trevor Cohn, Charles Kemp:
A Computational Approach to Identifying Cultural Keywords Across Languages. Cogn. Sci. 48(1) (2024)- [j15]Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks. Trans. Assoc. Comput. Linguistics 12: 996-1010 (2024) - [c193]Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp:
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation. ACL (Short Papers) 2024: 92-103 - [c192]Fan Jiang, Tom Drummond, Trevor Cohn:
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision. EMNLP 2024: 13906-13933 - [c191]Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn:
Backdoor Attacks on Multilingual Machine Translation. NAACL-HLT 2024: 4515-4534 - [c190]Thinh Truong, Yulia Otmakhova, Karin Verspoor, Trevor Cohn, Timothy Baldwin:
Revisiting subword tokenization: A case study on affixal negation in large language models. NAACL-HLT 2024: 5082-5095 - [i99]Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp:
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation. CoRR abs/2402.12690 (2024) - [i98]Fan Jiang, Tom Drummond, Trevor Cohn:
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision. CoRR abs/2402.16508 (2024) - [i97]Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn:
Backdoor Attack on Multilingual Machine Translation. CoRR abs/2404.02393 (2024) - [i96]Thinh Hung Truong, Yulia Otmakhova, Karin Verspoor, Trevor Cohn, Timothy Baldwin:
Revisiting subword tokenization: A case study on affixal negation in large language models. CoRR abs/2404.02421 (2024) - [i95]Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn:
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. CoRR abs/2404.19597 (2024) - [i94]Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks. CoRR abs/2405.11575 (2024) - [i93]Jun Wang, Eleftheria Briakou, Hamid Dadkhahi, Rishabh Agarwal, Colin Cherry, Trevor Cohn:
Don't Throw Away Data: Better Sequence Knowledge Distillation. CoRR abs/2407.10456 (2024) - [i92]Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn:
Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM. CoRR abs/2409.13949 (2024) - [i91]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts. CoRR abs/2409.15915 (2024) - [i90]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
Overcoming Reward Model Noise in Instruction-Guided Reinforcement Learning. CoRR abs/2409.15922 (2024) - 2023
- [c189]Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn:
Rethinking Round-Trip Translation for Machine Translation Evaluation. ACL (Findings) 2023: 319-337 - [c188]Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin:
Cost-effective Distillation of Large Language Models. ACL (Findings) 2023: 7346-7354 - [c187]Zheng Wei Lim, Trevor Cohn, Charles Kemp, Ekaterina Vylomova:
Predicting Human Translation Difficulty Using Automatic Word Alignment. ACL (Findings) 2023: 11590-11601 - [c186]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: 14447-14465 - [c185]Xudong Han, Timothy Baldwin, Trevor Cohn:
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. EACL 2023: 297-312 - [c184]Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann:
Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing. EACL 2023: 873-885 - [c183]Viktoria Schram, Daniel Beck, Trevor Cohn:
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. EACL 2023: 1782-1793 - [c182]Fan Jiang, Tom Drummond, Trevor Cohn:
Don't Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion. EACL 2023: 1810-1824 - [c181]Qiongkai Xu, Trevor Cohn, Olga Ohrimenko:
Fingerprint Attack: Client De-Anonymization in Federated Learning. ECAI 2023: 2792-2801 - [c180]Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn:
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. EMNLP (Findings) 2023: 912-931 - [c179]Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. EMNLP 2023: 953-967 - [c178]Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann:
More than Votes? Voting and Language based Partisanship in the US Supreme Court. EMNLP (Findings) 2023: 4604-4614 - [c177]Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau:
DeltaScore: Fine-Grained Story Evaluation with Perturbations. EMNLP (Findings) 2023: 5317-5331 - [c176]Fan Jiang, Tom Drummond, Trevor Cohn:
Noisy Self-Training with Synthetic Queries for Dense Retrieval. EMNLP (Findings) 2023: 11991-12008 - [c175]Xudong Han, Timothy Baldwin, Trevor Cohn:
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. ICLR 2023 - [c174]Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann:
It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom. IJCNLP (2) 2023: 197-207 - [c173]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
The Next Chapter: A Study of Large Language Models in Storytelling. INLG 2023: 323-351 - [c172]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: 101-114 - [c171]Chunhua Liu, Trevor Cohn, Lea Frermann:
Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts. *SEM@ACL 2023: 193-206 - [i89]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Can Very Large Pretrained Language Models Learn Storytelling With A Few Examples? CoRR abs/2301.09790 (2023) - [i88]Xudong Han, Timothy Baldwin, Trevor Cohn:
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. CoRR abs/2302.05711 (2023) - [i87]Zhuohan Xie, Miao Li, Trevor Cohn, Jey Han Lau:
DeltaScore: Evaluating Story Generation with Differentiating Perturbations. CoRR abs/2303.08991 (2023) - [i86]Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. CoRR abs/2305.11596 (2023) - [i85]Xuanli He, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks. CoRR abs/2305.16503 (2023) - [i84]Sukai Huang, Nir Lipovetzky, Trevor Cohn:
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents. CoRR abs/2305.16621 (2023) - [i83]Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, Trevor Cohn:
Language models are not naysayers: An analysis of language models on negation benchmarks. CoRR abs/2306.08189 (2023) - [i82]Qiongkai Xu, Trevor Cohn, Olga Ohrimenko:
Fingerprint Attack: Client De-Anonymization in Federated Learning. CoRR abs/2310.05960 (2023) - [i81]Jinrui Yang, Timothy Baldwin, Trevor Cohn:
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval. CoRR abs/2311.01870 (2023) - [i80]Fan Jiang, Tom Drummond, Trevor Cohn:
Noisy Self-Training with Synthetic Queries for Dense Retrieval. CoRR abs/2311.15563 (2023) - [i79]Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn:
Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval. CoRR abs/2311.15564 (2023) - [i78]Zheng Wei Lim, Ekaterina Vylomova, Charles Kemp, Trevor Cohn:
Predicting Human Translation Difficulty with Neural Machine Translation. CoRR abs/2312.11852 (2023) - 2022
- [c170]Fan Jiang, Trevor Cohn:
Incorporating Constituent Syntax for Coreference Resolution. AAAI 2022: 10831-10839 - [c169]Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn:
Measuring and Mitigating Name Biases in Neural Machine Translation. ACL (1) 2022: 2576-2590 - [c168]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: 181-187 - [c167]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: 400-407 - [c166]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
FairLib: A Unified Framework for Assessing and Improving Fairness. EMNLP (Demos) 2022: 60-71 - [c165]Jun Wang, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn:
Foiling Training-Time Attacks on Neural Machine Translation Systems. EMNLP (Findings) 2022: 5906-5913 - [c164]Xudong Han, Timothy Baldwin, Trevor Cohn:
Balancing out Bias: Achieving Fairness Through Balanced Training. EMNLP 2022: 11335-11350 - [c163]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. AACL/IJCNLP (1) 2022: 68-81 - [c162]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Does Representational Fairness Imply Empirical Fairness? AACL/IJCNLP (Findings) 2022: 81-95 - [c161]Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann:
WAX: A New Dataset for Word Association eXplanations. AACL/IJCNLP (1) 2022: 106-120 - [c160]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: 883-894 - [c159]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. NAACL-HLT 2022: 2041-2054 - [c158]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. NAACL-HLT 2022: 4073-4084 - [c157]Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor:
Improving negation detection with negation-focused pre-training. NAACL-HLT 2022: 4188-4193 - [i77]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 abs/2202.07858 (2022) - [i76]Fan Jiang, Trevor Cohn:
Incorporating Constituent Syntax for Coreference Resolution. CoRR abs/2202.10710 (2022) - [i75]Xudong Han, Timothy Baldwin, Trevor Cohn:
Towards Equal Opportunity Fairness through Adversarial Learning. CoRR abs/2203.06317 (2022) - [i74]Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn:
fairlib: A Unified Framework for Assessing and Improving Classification Fairness. CoRR abs/2205.01876 (2022) - [i73]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Optimising Equal Opportunity Fairness in Model Training. CoRR abs/2205.02393 (2022) - [i72]Thinh Hung Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor:
Improving negation detection with negation-focused pre-training. CoRR abs/2205.04012 (2022) - [i71]Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn:
Rethinking Round-trip Translation for Automatic Machine Translation Evaluation. CoRR abs/2209.07351 (2022) - [i70]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 abs/2209.08698 (2022) - [i69]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 abs/2210.03256 (2022) - [i68]Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Systematic Evaluation of Predictive Fairness. CoRR abs/2210.08758 (2022) - [i67]You Guo, Jun Wang, Trevor Cohn:
Detecting Backdoors in Deep Text Classifiers. CoRR abs/2210.11264 (2022) - [i66]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. CoRR abs/2211.07886 (2022) - 2021
- [j14]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: 654438 (2021) - [j13]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): 97 (2021) - [c156]Xudong Han, Timothy Baldwin, Trevor Cohn:
Decoupling Adversarial Training for Fair NLP. ACL/IJCNLP (Findings) 2021: 471-477 - [c155]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: 1463-1473 - [c154]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: 4711-4717 - [c153]Chunhua Liu, Trevor Cohn, Lea Frermann:
Commonsense Knowledge in Word Associations and ConceptNet. CoNLL 2021: 481-495 - [c152]Philip Arthur, Trevor Cohn, Gholamreza Haffari:
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning. EACL 2021: 2709-2719 - [c151]Xudong Han, Timothy Baldwin, Trevor Cohn:
Diverse Adversaries for Mitigating Bias in Training. EACL 2021: 2760-2765 - [c150]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. EACL 2021: 2907-2918 - [c149]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: 608-615 - [c148]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. EMNLP (1) 2021: 2045-2051 - [c147]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. EMNLP (1) 2021: 2492-2498 - [c146]Chang Xu, Jun Wang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Mitigating Data Poisoning in Text Classification with Differential Privacy. EMNLP (Findings) 2021: 4348-4356 - [c145]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: 6707-6715 - [c144]Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. INLG 2021: 1-11 - [c143]Fan Jiang, Trevor Cohn:
Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network. NAACL-HLT 2021: 1584-1591 - [c142]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: 2154-2166 - [c141]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging. SemEval@ACL/IJCNLP 2021: 445-451 - [c140]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 - [c139]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: 3638-3650 - [i65]Xudong Han, Timothy Baldwin, Trevor Cohn:
Diverse Adversaries for Mitigating Bias in Training. CoRR abs/2101.10001 (2021) - [i64]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation. CoRR abs/2101.11216 (2021) - [i63]Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann:
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames. CoRR abs/2104.11030 (2021) - [i62]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 abs/2107.05243 (2021) - [i61]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 abs/2107.08357 (2021) - [i60]Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. CoRR abs/2108.05659 (2021) - [i59]Xudong Han, Timothy Baldwin, Trevor Cohn:
Balancing out Bias: Achieving Fairness Through Training Reweighting. CoRR abs/2109.08253 (2021) - [i58]Chunhua Liu, Trevor Cohn, Lea Frermann:
Commonsense Knowledge in Word Associations and ConceptNet. CoRR abs/2109.09309 (2021) - [i57]Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Evaluating Debiasing Techniques for Intersectional Biases. CoRR abs/2109.10441 (2021) - [i56]Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann:
Fairness-aware Class Imbalanced Learning. CoRR abs/2109.10444 (2021) - [i55]Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann:
Contrastive Learning for Fair Representations. CoRR abs/2109.10645 (2021) - [i54]Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn:
Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data. CoRR abs/2110.03866 (2021) - [i53]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 abs/2110.05213 (2021) - [i52]Zhuohan Xie, Trevor Cohn, Jey Han Lau:
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders. CoRR abs/2111.08133 (2021) - 2020
- [c138]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. ACL 2020: 4984-4997 - [c137]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: 237-254 - [c136]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 - [c135]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: 572-579 - [c134]Najam Zaidi, Trevor Cohn, Gholamreza Haffari:
Decoding As Dynamic Programming For Recurrent Autoregressive Models. ICLR 2020 - [e3]Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-60-6 [contents] - [e2]Trevor Cohn, Yulan He, Yang Liu:
Findings of the Association for Computational Linguistics: EMNLP 2020, Online Event, 16-20 November 2020. Findings of ACL EMNLP 2020, Association for Computational Linguistics 2020, ISBN 978-1-952148-90-3 [contents] - [i51]Philip Arthur, Trevor Cohn, Gholamreza Haffari:
Learning Coupled Policies for Simultaneous Machine Translation. CoRR abs/2002.04306 (2020) - [i50]Nitika Mathur, Tim Baldwin, Trevor Cohn:
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics. CoRR abs/2006.06264 (2020) - [i49]Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
Targeted Poisoning Attacks on Black-Box Neural Machine Translation. CoRR abs/2011.00675 (2020)
2010 – 2019
- 2019
- [j12]Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter:
Gaussian Processes for Rumour Stance Classification in Social Media. ACM Trans. Inf. Syst. 37(2): 20:1-20:24 (2019) - [c133]Afshin Rahimi, Yuan Li, Trevor Cohn:
Massively Multilingual Transfer for NER. ACL (1) 2019: 151-164 - [c132]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. ACL (1) 2019: 1923-1934 - [c131]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation. ACL (1) 2019: 2799-2808 - [c130]Zhuohan Xie, Jey Han Lau, Trevor Cohn:
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. ALTA 2019: 10-18 - [c129]Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor:
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. BioNLP@ACL 2019: 328-338 - [c128]Dalin Wang, Daniel Beck, Trevor Cohn:
On the Role of Scene Graphs in Image Captioning. LANTERN@EMNLP-IJCNLP 2019: 29-34 - [c127]Xudong Han, Philip Schulz, Trevor Cohn:
Grounding learning of modifier dynamics: An application to color naming. EMNLP/IJCNLP (1) 2019: 1488-1493 - [c126]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. EMNLP/IJCNLP (1) 2019: 1729-1740 - [c125]Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP 2019: 461-465 - [c124]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing. ICML 2019: 3886-3895 - [c123]Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin, Jason Eisner:
Contextualization of Morphological Inflection. NAACL-HLT (1) 2019: 2018-2024 - [c122]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. *SEM@NAACL-HLT 2019: 273-282 - [c121]Daniel Beck, Trevor Cohn, Gholamreza Haffari:
Neural Speech Translation using Lattice Transformations and Graph Networks. TextGraphs@EMNLP 2019: 26-31 - [c120]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. WWW 2019: 1028-1038 - [i48]Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. CoRR abs/1902.00193 (2019) - [i47]Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn:
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations. CoRR abs/1902.08918 (2019) - [i46]Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. CoRR abs/1903.00142 (2019) - [i45]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner:
Contextualization of Morphological Inflection. CoRR abs/1905.01420 (2019) - [i44]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. CoRR abs/1905.07856 (2019) - [i43]Yitong Li, Timothy Baldwin, Trevor Cohn:
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference. CoRR abs/1906.02897 (2019) - [i42]Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor:
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. CoRR abs/1907.02679 (2019) - [i41]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Deep Ordinal Regression for Pledge Specificity Prediction. CoRR abs/1909.00187 (2019) - [i40]Xudong Han, Philip Schulz, Trevor Cohn:
Grounding learning of modifier dynamics: An application to color naming. CoRR abs/1909.07586 (2019) - 2018
- [j11]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
Exploiting graph kernels for high performance biomedical relation extraction. J. Biomed. Semant. 9(1): 7:1-7:11 (2018) - [j10]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-aware rumour stance classification in social media using sequential classifiers. Inf. Process. Manag. 54(2): 273-290 (2018) - [c119]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. ACL (2) 2018: 25-30 - [c118]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. ACL (2) 2018: 182-188 - [c117]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. ACL (1) 2018: 273-283 - [c116]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. ACL (2) 2018: 278-284 - [c115]Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. ACL (1) 2018: 1243-1252 - [c114]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A joint neural model of poetic language, meter and rhyme. ACL (1) 2018: 1948-1958 - [c113]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. ACL (1) 2018: 2009-2019 - [c112]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Improved Neural Machine Translation using Side Information. ALTA 2018: 6-16 - [c111]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Towards Efficient Machine Translation Evaluation by Modelling Annotators. ALTA 2018: 77-82 - [c110]Cong Duy Vu Hoang, Philipp Koehn, Gholamreza Haffari, Trevor Cohn:
Iterative Back-Translation for Neural Machine Translation. NMT@ACL 2018: 18-24 - [c109]Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter Geolocation using Knowledge-Based Methods. NUT@EMNLP 2018: 7-16 - [c108]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labeling. EMNLP 2018: 2850-2856 - [c107]Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud:
Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. LREC 2018 - [c106]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. NAACL-HLT (2) 2018: 278-283 - [c105]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. NAACL-HLT (2) 2018: 474-479 - [c104]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis. NAACL-HLT 2018: 1964-1974 - [i39]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Semi-supervised User Geolocation via Graph Convolutional Networks. CoRR abs/1804.08049 (2018) - [i38]Fei Liu, Trevor Cohn, Timothy Baldwin:
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis. CoRR abs/1804.11019 (2018) - [i37]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Hierarchical Structured Model for Fine-to-coarse Manifesto Text Analysis. CoRR abs/1805.02823 (2018) - [i36]Yitong Li, Timothy Baldwin, Trevor Cohn:
What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training. CoRR abs/1805.06088 (2018) - [i35]Yitong Li, Timothy Baldwin, Trevor Cohn:
Towards Robust and Privacy-preserving Text Representations. CoRR abs/1805.06093 (2018) - [i34]Fei Liu, Trevor Cohn, Timothy Baldwin:
Narrative Modeling with Memory Chains and Semantic Supervision. CoRR abs/1805.06122 (2018) - [i33]Shivashankar Subramanian, Timothy Baldwin, Trevor Cohn:
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model. CoRR abs/1805.06566 (2018) - [i32]Philip Schulz, Wilker Aziz, Trevor Cohn:
A Stochastic Decoder for Neural Machine Translation. CoRR abs/1805.10844 (2018) - [i31]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. CoRR abs/1806.09835 (2018) - [i30]Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. CoRR abs/1807.03491 (2018) - [i29]Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labelling. CoRR abs/1808.09075 (2018) - 2017
- [c103]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. ACL (2) 2017: 209-216 - [c102]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. ACL (1) 2017: 355-365 - [c101]Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. ACL (2) 2017: 587-593 - [c100]Fei Liu, Trevor Cohn, Timothy Baldwin:
Improving End-to-End Memory Networks with Unified Weight Tying. ALTA 2017: 16-24 - [c99]Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin, Julian Brooke:
Joint Sentence-Document Model for Manifesto Text Analysis. ALTA 2017: 25-33 - [c98]Oliver Adams, Trevor Cohn, Graham Neubig, Alexis Michaud:
Phonemic Transcription of Low-Resource Tonal Languages. ALTA 2017: 53-60 - [c97]Ying Xu, Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization. MultiLing@EACL 2017: 7-11 - [c96]P. K. Srijith, Michal Lukasik, Kalina Bontcheva, Trevor Cohn:
Longitudinal Modeling of Social Media with Hawkes Process Based on Users and Networks. ASONAM 2017: 195-202 - [c95]Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn:
Multi-step prediction with missing smart sensor data using multi-task Gaussian processes. IEEE BigData 2017: 1183-1192 - [c94]Yitong Li, Trevor Cohn, Timothy Baldwin:
Robust Training under Linguistic Adversity. EACL (2) 2017: 21-27 - [c93]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. EACL (2) 2017: 118-124 - [c92]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Multilingual Training of Crosslingual Word Embeddings. EACL (1) 2017: 894-904 - [c91]Oliver Adams, Adam J. Makarucha, Graham Neubig, Steven Bird, Trevor Cohn:
Cross-Lingual Word Embeddings for Low-Resource Language Modeling. EACL (1) 2017: 937-947 - [c90]Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari:
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. SWCN@EMNLP 2017: 103-108 - [c89]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Towards Decoding as Continuous Optimisation in Neural Machine Translation. EMNLP 2017: 146-156 - [c88]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. EMNLP 2017: 167-176 - [c87]Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. EMNLP 2017: 595-605 - [c86]Nitika Mathur, Timothy Baldwin, Trevor Cohn:
Sequence Effects in Crowdsourced Annotations. EMNLP 2017: 2860-2865 - [c85]Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, Trevor Cohn:
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression. IJCAI 2017: 1994-2000 - [c84]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn:
Compressed Nonparametric Language Modelling. IJCAI 2017: 2701-2707 - [c83]Daniel Beck, Trevor Cohn:
Learning Kernels over Strings using Gaussian Processes. IJCNLP(2) 2017: 67-73 - [c82]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. IJCNLP(1) 2017: 555-565 - [c81]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. IJCNLP(1) 2017: 744-753 - [c80]Shivashankar Subramanian, Timothy Baldwin, Julian Brooke, Trevor Cohn:
Pairwise Webpage Coreference Classification Using Distant Supervision. WWW (Companion Volume) 2017: 841-842 - [i28]Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn:
Decoding as Continuous Optimization in Neural Machine Translation. CoRR abs/1701.02854 (2017) - [i27]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, Pengcheng Yin:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i26]Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn:
Context-Aware Prediction of Derivational Word-forms. CoRR abs/1702.06675 (2017) - [i25]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
A Neural Model for User Geolocation and Lexical Dialectology. CoRR abs/1704.04008 (2017) - [i24]Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. CoRR abs/1704.08012 (2017) - [i23]Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. CoRR abs/1705.00424 (2017) - [i22]Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. CoRR abs/1708.02383 (2017) - [i21]Afshin Rahimi, Timothy Baldwin, Trevor Cohn:
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks. CoRR abs/1708.04358 (2017) - [i20]Fei Liu, Timothy Baldwin, Trevor Cohn:
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields. CoRR abs/1709.03637 (2017) - [i19]Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, Trevor Cohn:
End-to-end Network for Twitter Geolocation Prediction and Hashing. CoRR abs/1710.04802 (2017) - [i18]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers. CoRR abs/1712.02223 (2017) - 2016
- [j9]Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn:
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. Trans. Assoc. Comput. Linguistics 4: 477-490 (2016) - [c79]Michal Lukasik, Trevor Cohn:
Convolution Kernels for Discriminative Learning from Streaming Text. AAAI 2016: 2757-2763 - [c78]Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga, Trevor Cohn:
Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL (2) 2016 - [c77]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
pigeo: A Python Geotagging Tool. ACL (System Demonstrations) 2016: 127-132 - [c76]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. ACL (1) 2016 - [c75]Cong Duy Vu Hoang, Reza Haffari, Trevor Cohn:
Improving Neural Translation Models with Linguistic Factors. ALTA 2016: 7-14 - [c74]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Rao Kotagiri:
ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction. ALTA 2016: 65-73 - [c73]Nagesh Panyam Chandrasekarasastry, Gitansh Khirbat, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
SeeDev Binary Event Extraction using SVMs and a Rich Feature Set. BioNLP (Shared Task) 2016: 82-87 - [c72]Matthias Petri, Trevor Cohn:
Succinct Data Structures for NLP-at-Scale. COLING (Tutorials) 2016: 20-21 - [c71]Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoNLL 2016: 178-186 - [c70]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoNLL 2016: 208-218 - [c69]Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari:
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. EMNLP 2016: 944-949 - [c68]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. EMNLP 2016: 1285-1295 - [c67]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. EMNLP 2016: 1979-1985 - [c66]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura:
Learning a Lexicon and Translation Model from Phoneme Lattices. EMNLP 2016: 2377-2382 - [c65]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird:
Learning a Translation Model from Word Lattices. INTERSPEECH 2016: 2518-2522 - [c64]Daniel Preotiuc-Pietro, P. K. Srijith, Mark Hepple, Trevor Cohn:
Studying the Temporal Dynamics of Word Co-occurrences: An Application to Event Detection. LREC 2016 - [c63]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. HLT-NAACL 2016: 876-885 - [c62]Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn:
An Attentional Model for Speech Translation Without Transcription. HLT-NAACL 2016: 949-959 - [c61]Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari:
Incorporating Side Information into Recurrent Neural Network Language Models. HLT-NAACL 2016: 1250-1255 - [c60]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
Exploiting Tree Kernels for High Performance Chemical Induced Disease Relation Extraction. SMBM 2016: 42-47 - [e1]Trevor Cohn:
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5 - 7, 2016. ACL 2016 [contents] - [i17]Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. CoRR abs/1601.01085 (2016) - [i16]Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari:
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation. CoRR abs/1606.04217 (2016) - [i15]Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn:
Learning Crosslingual Word Embeddings without Bilingual Corpora. CoRR abs/1606.09403 (2016) - [i14]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoRR abs/1606.09600 (2016) - [i13]Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoRR abs/1607.01133 (2016) - [i12]Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn:
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. CoRR abs/1608.04465 (2016) - [i11]Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter:
Using Gaussian Processes for Rumour Stance Classification in Social Media. CoRR abs/1609.01962 (2016) - [i10]Yitong Li, Trevor Cohn, Timothy Baldwin:
Learning Robust Representations of Text. CoRR abs/1609.06082 (2016) - 2015
- [j8]Zsolt Bitvai, Trevor Cohn:
Day trading profit maximization with multi-task learning and technical analysis. Mach. Learn. 101(1-3): 187-209 (2015) - [j7]Kashif Shah, Trevor Cohn, Lucia Specia:
A Bayesian non-linear method for feature selection in machine translation quality estimation. Mach. Transl. 29(2): 101-125 (2015) - [j6]Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia:
Learning Structural Kernels for Natural Language Processing. Trans. Assoc. Comput. Linguistics 3: 461-473 (2015) - [c59]Zsolt Bitvai, Trevor Cohn:
Predicting Peer-to-Peer Loan Rates Using Bayesian Non-Linear Regression. AAAI 2015: 2203-2209 - [c58]Zsolt Bitvai, Trevor Cohn:
Non-Linear Text Regression with a Deep Convolutional Neural Network. ACL (2) 2015: 180-185 - [c57]Michal Lukasik, Trevor Cohn, Kalina Bontcheva:
Point Process Modelling of Rumour Dynamics in Social Media. ACL (2) 2015: 518-523 - [c56]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter User Geolocation Using a Unified Text and Network Prediction Model. ACL (2) 2015: 630-636 - [c55]Long Duong, Trevor Cohn, Steven Bird, Paul Cook:
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser. ACL (2) 2015: 845-850 - [c54]Long Duong, Trevor Cohn, Steven Bird, Paul Cook:
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data. CoNLL 2015: 113-122 - [c53]Michal Lukasik, P. K. Srijith, Trevor Cohn, Kalina Bontcheva:
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. EMNLP 2015: 250-255 - [c52]Long Duong, Trevor Cohn, Steven Bird, Paul Cook:
A Neural Network Model for Low-Resource Universal Dependency Parsing. EMNLP 2015: 339-348 - [c51]Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn:
Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees. EMNLP 2015: 2409-2418 - [c50]Michal Lukasik, Trevor Cohn, Kalina Bontcheva:
Classifying Tweet Level Judgements of Rumours in Social Media. EMNLP 2015: 2590-2595 - [c49]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird:
Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions. IWSLT 2015 - [c48]Afshin Rahimi, Duy Vu, Trevor Cohn, Timothy Baldwin:
Exploiting Text and Network Context for Geolocation of Social Media Users. HLT-NAACL 2015: 1362-1367 - [c47]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson:
Structured Prediction of Sequences and Trees Using Infinite Contexts. ECML/PKDD (2) 2015: 373-389 - [i9]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson:
Structured Prediction of Sequences and Trees using Infinite Contexts. CoRR abs/1503.02417 (2015) - [i8]Michal Lukasik, Trevor Cohn, Kalina Bontcheva:
Estimating collective judgement of rumours in social media. CoRR abs/1506.00468 (2015) - [i7]Afshin Rahimi, Duy Vu, Trevor Cohn, Timothy Baldwin:
Exploiting Text and Network Context for Geolocation of Social Media Users. CoRR abs/1506.04803 (2015) - [i6]Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter User Geolocation Using a Unified Text and Network Prediction Model. CoRR abs/1506.08259 (2015) - [i5]Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia:
Learning Structural Kernels for Natural Language Processing. CoRR abs/1508.02131 (2015) - [i4]Kaisheng Yao, Trevor Cohn, Katerina Vylomova, Kevin Duh, Chris Dyer:
Depth-Gated LSTM. CoRR abs/1508.03790 (2015) - [i3]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. CoRR abs/1509.01692 (2015) - [i2]Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein:
Document Context Language Models. CoRR abs/1511.03962 (2015) - 2014
- [c46]Trevor Cohn, Daniel Preotiuc-Pietro, Neil D. Lawrence:
Gaussian Processes for Natural Language Processing. ACL (Tutorial Abstracts) 2014: 1-3 - [c45]Vasileios Lampos, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn:
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. LTCSS@ACL 2014: 13-17 - [c44]Douwe Gelling, Trevor Cohn:
Simple extensions and POS Tags for a reparameterised IBM Model 2. ACL (2) 2014: 150-154 - [c43]Yang Feng, Trevor Cohn, Xinkai Du:
Factored Markov Translation with Robust Modeling. CoNLL 2014: 151-159 - [c42]Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn:
Predicting and Characterising User Impact on Twitter. EACL 2014: 405-413 - [c41]Xingyi Song, Lucia Specia, Trevor Cohn:
Data selection for discriminative training in statistical machine translation. EAMT 2014: 45-52 - [c40]Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird, Paul Cook:
What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages. EMNLP 2014: 886-897 - [c39]Daniel Beck, Trevor Cohn, Lucia Specia:
Joint Emotion Analysis via Multi-task Gaussian Processes. EMNLP 2014: 1798-1803 - [i1]Trevor Anthony Cohn, Mirella Lapata:
Sentence Compression as Tree Transduction. CoRR abs/1401.5693 (2014) - 2013
- [j5]Xingyi Song, Trevor Cohn, Lucia Specia:
BLEU Deconstructed: Designing a Better MT Evaluation Metric. Int. J. Comput. Linguistics Appl. 4(2): 29-44 (2013) - [j4]Trevor Cohn, Mirella Lapata:
An abstractive approach to sentence compression. ACM Trans. Intell. Syst. Technol. 4(3): 41:1-41:35 (2013) - [c38]Trevor Cohn, Lucia Specia:
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation. ACL (1) 2013: 32-42 - [c37]Lucia Specia, Kashif Shah, José G. C. de Souza, Trevor Cohn:
QuEst - A translation quality estimation framework. ACL (Conference System Demonstrations) 2013: 79-84 - [c36]Yang Feng, Trevor Cohn:
A Markov Model of Machine Translation using Non-parametric Bayesian Inference. ACL (1) 2013: 333-342 - [c35]Daniel Beck, Lucia Specia, Trevor Cohn:
Reducing Annotation Effort for Quality Estimation via Active Learning. ACL (2) 2013: 543-548 - [c34]Trevor Cohn, Gholamreza Haffari:
An Infinite Hierarchical Bayesian Model of Phrasal Translation. ACL (1) 2013: 780-790 - [c33]Vasileios Lampos, Daniel Preotiuc-Pietro, Trevor Cohn:
A user-centric model of voting intention from Social Media. ACL (1) 2013: 993-1003 - [c32]Ziqi Zhang, Trevor Cohn, Fabio Ciravegna:
Topic-Oriented Words as Features for Named Entity Recognition. CICLing (1) 2013: 304-316 - [c31]Daniel Preotiuc-Pietro, Trevor Cohn:
A temporal model of text periodicities using Gaussian Processes. EMNLP 2013: 977-988 - [c30]Dominic Paul Rout, Kalina Bontcheva, Daniel Preotiuc-Pietro, Trevor Cohn:
Where's @wally?: a classification approach to geolocating users based on their social ties. HT 2013: 11-20 - [c29]Raymond W. M. Ng, Thomas Hain, Trevor Cohn:
Adaptation of lecture speech recognition system with machine translation output. ICASSP 2013: 8401-8405 - [c28]Daniel Preotiuc-Pietro, Trevor Cohn:
Mining user behaviours: a study of check-in patterns in location based social networks. WebSci 2013: 306-315 - [c27]Daniel Beck, Kashif Shah, Trevor Cohn, Lucia Specia:
SHEF-Lite: When Less is More for Translation Quality Estimation. WMT@ACL 2013: 337-342 - 2012
- [c26]Yang Feng, Yang Liu, Qun Liu, Trevor Cohn:
Left-to-Right Tree-to-String Decoding with Prediction. EMNLP-CoNLL 2012: 1191-1200 - [c25]Jeremy Nicholson, Trevor Cohn, Timothy Baldwin:
Evaluating a Morphological Analyser of Inuktitut. HLT-NAACL 2012: 372-376 - [c24]Ahmet Aker, Trevor Cohn, Robert J. Gaizauskas:
Redundancy reduction for multi-document summaries using A* search and discriminative training. E-LKR 2012 - 2011
- [c23]Phil Blunsom, Trevor Cohn:
A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction. ACL 2011: 865-874 - [c22]Xingyi Song, Trevor Cohn:
Regression and Ranking based Optimisation for Sentence Level MT Evaluation. WMT@EMNLP 2011: 123-129 - 2010
- [j3]Trevor Cohn, Phil Blunsom, Sharon Goldwater:
Inducing Tree-Substitution Grammars. J. Mach. Learn. Res. 11: 3053-3096 (2010) - [c21]Trevor Cohn, Phil Blunsom:
Blocked Inference in Bayesian Tree Substitution Grammars. ACL (2) 2010: 225-230 - [c20]Ahmet Aker, Trevor Cohn, Robert J. Gaizauskas:
Multi-Document Summarization Using A* Search and Discriminative Learning. EMNLP 2010: 482-491 - [c19]Phil Blunsom, Trevor Cohn:
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing. EMNLP 2010: 1204-1213 - [c18]Phil Blunsom, Trevor Cohn:
Inducing Synchronous Grammars with Slice Sampling. HLT-NAACL 2010: 238-241
2000 – 2009
- 2009
- [j2]Trevor Cohn, Mirella Lapata:
Sentence Compression as Tree Transduction. J. Artif. Intell. Res. 34: 637-674 (2009) - [c17]Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark Johnson:
A Note on the Implementation of Hierarchical Dirichlet Processes. ACL/IJCNLP (2) 2009: 337-340 - [c16]Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osborne:
A Gibbs Sampler for Phrasal Synchronous Grammar Induction. ACL/IJCNLP 2009: 782-790 - [c15]Josh Schroeder, Trevor Cohn, Philipp Koehn:
Word Lattices for Multi-Source Translation. EACL 2009: 719-727 - [c14]Trevor Cohn, Phil Blunsom:
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction. EMNLP 2009: 352-361 - [c13]Trevor Cohn, Sharon Goldwater, Phil Blunsom:
Inducing Compact but Accurate Tree-Substitution Grammars. HLT-NAACL 2009: 548-556 - 2008
- [j1]Trevor Cohn, Chris Callison-Burch, Mirella Lapata:
Constructing Corpora for the Development and Evaluation of Paraphrase Systems. Comput. Linguistics 34(4): 597-614 (2008) - [c12]Phil Blunsom, Trevor Cohn, Miles Osborne:
A Discriminative Latent Variable Model for Statistical Machine Translation. ACL 2008: 200-208 - [c11]Chris Callison-Burch, Trevor Cohn, Mirella Lapata:
ParaMetric: An Automatic Evaluation Metric for Paraphrasing. COLING 2008: 97-104 - [c10]Trevor Cohn, Mirella Lapata:
Sentence Compression Beyond Word Deletion. COLING 2008: 137-144 - [c9]Phil Blunsom, Trevor Cohn, Miles Osborne:
Bayesian Synchronous Grammar Induction. NIPS 2008: 161-168 - 2007
- [b1]Trevor Anthony Cohn:
Scaling conditional random fields for natural language processing. University of Melbourne, Australia, 2007 - [c8]Trevor Cohn, Mirella Lapata:
Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora. ACL 2007 - [c7]Trevor Cohn, Mirella Lapata:
Large Margin Synchronous Generation and its Application to Sentence Compression. EMNLP-CoNLL 2007: 73-82 - 2006
- [c6]Phil Blunsom, Trevor Cohn:
Discriminative Word Alignment with Conditional Random Fields. ACL 2006 - [c5]Trevor Cohn:
Efficient Inference in Large Conditional Random Fields. ECML 2006: 606-613 - 2005
- [c4]Trevor Cohn, Andrew Smith, Miles Osborne:
Scaling Conditional Random Fields Using Error-Correcting Codes. ACL 2005: 10-17 - [c3]Andrew Smith, Trevor Cohn, Miles Osborne:
Logarithmic Opinion Pools for Conditional Random Fields. ACL 2005: 18-25 - [c2]Trevor Cohn, Phil Blunsom:
Semantic Role Labelling with Tree Conditional Random Fields. CoNLL 2005: 169-172 - 2003
- [c1]Trevor Cohn:
Performance metrics for word sense disambiguation. ALTA 2003: 86-93
Coauthor Index
Timothy Baldwin
aka: Tim Baldwin
aka: Tim Baldwin
[c190] [i96] [c188] [c185] [c178] [c175] [c174] [c172] [i88] [i83] [i81] [c168] [c167] [c166] [c164] [c163] [c162] [c160] [c158] [c157] [i77] [i75] [i74] [i73] [i72] [i70] [i69] [i68] [j14] [c156] [c151] [c149] [c148] [c147] [c140] [i65] [i59] [i57] [i56] [i55] [c138] [c137] [c136] [c135] [i50] [c132] [c131] [c126] [c123] [c122] [i45] [i44] [i43] [i41] [c119] [c118] [c116] [c114] [c113] [c111] [c109] [c106] [c105] [c104] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i30] [c103] [c102] [c100] [c99] [c97] [c94] [c93] [c88] [c86] [c82] [c80] [i26] [i25] [i24] [i21] [i20] [c77] [c76] [c67] [i10] [c56] [c48] [i7] [i6] [i3] [c25]
Gholamreza Haffari
aka: Reza Haffari
aka: Reza Haffari
Hung-Thinh Truong
aka: Thinh Hung Truong
aka: Thinh Hung Truong
Ekaterina Vylomova
aka: Katerina Vylomova
aka: Katerina Vylomova
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