Trevor Cohn

Incorporating Constituent Syntax for Coreference Resolution

F Jiang, T Cohn

Conference Proceedings  |  2022  |  Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022

Improving negation detection with negation-focused pre-training

HT Truong, T Baldwin, T Cohn, K Verspoor

Conference Proceedings  |  2022  |  NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

FairLib: A Unified Framework for Assessing and Improving Fairness

X Han, A Shen, Y Li, L Frermann, T Baldwin, T Cohn

Conference Proceedings  |  2022  |  EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session

Optimising Equal Opportunity Fairness in Model Training

A Shen, X Han, T Cohn, T Baldwin, L Frermann

Conference Proceedings  |  2022  |  NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Real-world datasets often encode stereotypes and societal biases. Such biases can be implicitly captured by trained models, leadin..

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data

K Kurniawan, L Frermann, P Schulz, T Cohn

Conference Proceedings  |  2022  |  NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Providing technologies to communities or domains where training data is scarce or protected e.g., for privacy reasons, is becoming..

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

Book Chapter  |  2022  |  Lecture Notes in Computer Science

The discovery of new chemical compounds is a key driver of the chemistry and pharmaceutical industries, and many other industrial ..

Balancing out Bias: Achieving Fairness Through Balanced Training

X Han, T Baldwin, T Cohn

Conference Proceedings  |  2022  |  Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022

Foiling Training-Time Attacks on Neural Machine Translation Systems

J Wang, X He, BIP Rubinstein, T Cohn

Conference Proceedings  |  2022  |  Findings of the Association for Computational Linguistics: EMNLP 2022

Measuring and Mitigating Name Biases in Neural Machine Translation

Jun Wang, Benjamin IP Rubinstein, Trevor Cohn

Conference Proceedings  |  2022  |  PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS)

Neural Machine Translation (NMT) systems exhibit problematic biases, such as stereotypical gender bias in the translation of occup..

ChemTables: a dataset for semantic classification on tables in chemical patents

Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A Akhondi, Quoc Nguyen Dat, Trevor Cohn, Karin Verspoor

Journal article  |  2021  |  JOURNAL OF CHEMINFORMATICS

Chemical patents are a commonly used channel for disclosing novel compounds and reactions, and hence represent important resources..