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It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data


Oct 11, 2021
Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn, Ehsan Shareghi

* EMNLP2021 

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Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data


Oct 08, 2021
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn


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Contrastive Learning for Fair Representations


Sep 22, 2021
Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann


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Fairness-aware Class Imbalanced Learning


Sep 21, 2021
Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann

* To appear in EMNLP 2021 

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Evaluating Debiasing Techniques for Intersectional Biases


Sep 21, 2021
Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann

* To appear in EMNLP 2021 

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Commonsense Knowledge in Word Associations and ConceptNet


Sep 20, 2021
Chunhua Liu, Trevor Cohn, Lea Frermann


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Balancing out Bias: Achieving Fairness Through Training Reweighting


Sep 16, 2021
Xudong Han, Timothy Baldwin, Trevor Cohn

* 7 pages 

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Generating Diverse Descriptions from Semantic Graphs


Aug 13, 2021
Jiuzhou Han, Daniel Beck, Trevor Cohn

* INLG 2021 

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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation


Jul 18, 2021
Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn

* Findings of ACL, to appear 

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Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning


Jul 12, 2021
Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn

* Findings of ACL, to appear 

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Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames


Apr 22, 2021
Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann

* Accepted at NAACL 2021 

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PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation


Jan 27, 2021
Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

* Accepted at EACL 2021 

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Diverse Adversaries for Mitigating Bias in Training


Jan 25, 2021
Xudong Han, Timothy Baldwin, Trevor Cohn

* EACL 2021 (5 pages + 1 references) 

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Targeted Poisoning Attacks on Black-Box Neural Machine Translation


Nov 02, 2020
Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzman, Benjamin I. P. Rubinstein, Trevor Cohn


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Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics


Jun 12, 2020
Nitika Mathur, Timothy Baldwin, Trevor Cohn

* Accepted at ACL 2020 

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Learning Coupled Policies for Simultaneous Machine Translation


Feb 11, 2020
Philip Arthur, Trevor Cohn, Gholamreza Haffari

* 7 pages 

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Grounding learning of modifier dynamics: An application to color naming


Sep 17, 2019
Xudong Han, Philip Schulz, Trevor Cohn

* EMNLP 2019 (5 pages + 1 references) 

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Deep Ordinal Regression for Pledge Specificity Prediction


Aug 31, 2019
Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

* Camera ready --- EMNLP 2019 

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Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings


Jul 05, 2019
Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor


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Semi-supervised Stochastic Multi-Domain Learning using Variational Inference


Jun 07, 2019
Yitong Li, Timothy Baldwin, Trevor Cohn

* ACL 2019 (9 pages + 2 references + 1 appendices) 

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Target Based Speech Act Classification in Political Campaign Text


May 20, 2019
Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin

* Eighth Joint Conference on Lexical and Computational Semantics, *SEM 2019, Camera Ready 

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Contextualization of Morphological Inflection


May 04, 2019
Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner

* NAACL 2019 

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A Unified Neural Architecture for Instrumental Audio Tasks


Mar 01, 2019
Steven Spratley, Daniel Beck, Trevor Cohn

* To appear in Proc. ICASSP 2019, May 12-17, Brighton, UK 

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Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations


Feb 24, 2019
Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn

* Accepted at the Web Conference/WWW 2019 (camera ready) 

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Multilingual NER Transfer for Low-resource Languages


Feb 01, 2019
Afshin Rahimi, Yuan Li, Trevor Cohn

* The first and the second author have equally contributed to this work 

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Evaluating the Utility of Hand-crafted Features in Sequence Labelling


Aug 28, 2018
Minghao Wu, Fei Liu, Trevor Cohn

* Accepted to EMNLP 2018 (camera-ready) 

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Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme


Jul 10, 2018
Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond

* Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018) 
* 11 pages; ACL2018 

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Graph-to-Sequence Learning using Gated Graph Neural Networks


Jun 26, 2018
Daniel Beck, Gholamreza Haffari, Trevor Cohn

* ACL 2018 

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