Trevor Cohn

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

Nitika Mathur, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2020  |  Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Automatic metrics are fundamental for the development and evaluation of machine translation systems. Judging whether, and to what ..

'Deep-speare' crafted Shakespearean verse that few readers could distinguish from the real thing

JH Lau, T Cohn, T Baldwin, A Hammond

Journal article  |  2020  |  IEEE Spectrum

ChEMU: Named entity recognition and event extraction of chemical reactions from patents

DQ Nguyen, Z Zhai, H Yoshikawa, B Fang, C Druckenbrodt, C Thorne, R Hoessel, SA Akhondi, T Cohn, T Baldwin, K Verspoor

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

We introduce a new evaluation lab named ChEMU (Cheminformatics Elsevier Melbourne University), part of the 11th Conference and Lab..

Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents

J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, Z Afzal, Z Zhai, B Fang, H Yoshikawa, A Albahem, L Cavedon, T Cohn, T Baldwin, K Verspoor

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

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

Conference Proceedings  |  2019  |  Proceedings of the 18th BioNLP Workshop and Shared Task

Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems ..

Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation

Nitika Mathur, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Accurate, automatic evaluation of machine translation is critical for system tuning, and evaluating progress in the field. We prop..

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Yitong Li, Timothy Baldwin, Trevor Cohn

Conference Proceedings  |  2019  |  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Supervised models of NLP rely on large collections of text which closely resemble the intended testing setting. Unfortunately matc..

Contextualization of Morphological Inflection

Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin, Trevor Cohn, Jason Eisner

Conference Proceedings  |  2019  |  NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference

Critical to natural language generation is the production of correctly inflected text. In this paper, we isolate the task of predi..

Truth inference at scale: A Bayesian model for adjudicating highly redundant crowd annotations

Y Li, BIP Rubinstein, T Cohn

Conference Proceedings  |  2019  |  WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Crowd-sourcing is a cheap and popular means of creating training and evaluation datasets for machine learning, however it poses th..

A Unified Neural Architecture for Instrumental Audio Tasks

S Spratley, D Beck, T Cohn

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Within Music Information Retrieval (MIR), prominent tasks - including pitch-tracking, source-separation, super-resolu..