World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11078
World Ranking
4120
National Ranking
120

Overview

Trevor Cohn is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of Computer Science. Their research primarily focuses on Artificial Intelligence, with additional work spanning Molecular Biology, Computer Vision and Pattern Recognition, Safety Research, and Information Systems.

Their work covers diverse topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Adversarial Robustness in Machine Learning
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Multimodal Machine Learning Applications

Among Trevor Cohn's recent publications are:

  • "Trendminer: An Architecture for Real Time Analysis of Social Media Text" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents" (2021), published in Frontiers in Research Metrics and Analytics
  • "BLEU deconstructed: Designing a Better MT Evaluation Metric" (2021), published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Contrastive Learning for Fair Representations" (2021), published in arXiv (Cornell University)
  • "Measuring and Mitigating Name Biases in Neural Machine Translation" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Frequent publication venues for Trevor Cohn include:

  • arXiv (Cornell University)
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the AAAI Conference on Artificial Intelligence

Trevor Cohn often collaborates with a set of frequent coauthors, including:

  • Timothy Baldwin
  • Karin Verspoor
  • Lea Frermann
  • Benjamin I. P. Rubinstein

The volume of publications attributed to Trevor Cohn totals over 158 works within Computer Science, with 133 focused on Artificial Intelligence. Their contributions include a robust combination of theoretical and applied research across multiple domains of machine learning and language processing.

Best Publications

  • Findings of the Association for Computational Linguistics: EMNLP 2020

    Trevor Cohn;Yulan He;Yang Liu

  • DyNet: The Dynamic Neural Network Toolkit

    Graham Neubig;Chris Dyer;Yoav Goldberg;Austin Matthews

  • Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser

    Long Duong;Trevor Cohn;Steven Bird;Paul Cook

  • Graph-to-Sequence Learning using Gated Graph Neural Networks

    Daniel Beck;Gholamreza Haffari;Trevor Cohn

  • Learning how to Active Learn: A Deep Reinforcement Learning Approach

    Meng Fang;Yuan Li;Trevor Cohn

  • Iterative Back-Translation for Neural Machine Translation

    Vu Cong Duy Hoang;Philipp Koehn;Gholamreza Haffari;Trevor Cohn

  • QuEst - A translation quality estimation framework

    Lucia Specia;Kashif Shah;Jose G.C. de Souza;Trevor Cohn

  • Sentence Compression Beyond Word Deletion

    Trevor Cohn;Mirella Lapata

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

    Nitika Mathur;Timothy Baldwin;Trevor Cohn

  • Sentence compression as tree transduction

    Trevor Cohn;Mirella Lapata

  • Massively multilingual transfer for NER

    Afshin Rahimi;Yuan Li;Trevor Cohn

  • Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

    Trevor Cohn;Cong Duy Vu Hoang;Ekaterina Vymolova;Kaisheng Yao

  • Semi-supervised User Geolocation via Graph Convolutional Networks

    Afshin Rahimi;Trevor Cohn;Timothy Baldwin

  • Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora

    Trevor Cohn;Mirella Lapata

  • Where's @wally?: a classification approach to geolocating users based on their social ties

    Dominic Rout;Kalina Bontcheva;Daniel Preoţiuc-Pietro;Trevor Cohn

  • Discriminative Word Alignment with Conditional Random Fields

    Phil Blunsom;Trevor Cohn

  • Towards Robust and Privacy-preserving Text Representations

    Yitong Li;Timothy Baldwin;Trevor Cohn

  • Semantic Role Labelling with Tree Conditional Random Fields

    Trevor Cohn;Philip Blunsom

  • An attentional model for speech translation without transcription

    Long Duong;Antonios Anastasopoulos;David Chiang;Steven Bird;Steven Bird

  • Discourse-aware rumour stance classification in social media using sequential classifiers

    Arkaitz Zubiaga;Elena Kochkina;Elena Kochkina;Maria Liakata;Maria Liakata;Rob Procter;Rob Procter

  • Hawkes processes for continuous time sequence classification : an application to rumour stance classification in Twitter

    Michal Lukasik;P. K. Srijith;Duy Vu;Kalina Bontcheva

  • Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

    Trevor Cohn;Sharon Goldwater;Phil Blunsom

Frequent Co-Authors

Timothy Baldwin
Timothy Baldwin University of Melbourne
Gholamreza Haffari
Gholamreza Haffari Monash University
Karin Verspoor
Karin Verspoor RMIT University
Phil Blunsom
Phil Blunsom University of Oxford
Steven Bird
Steven Bird Charles Darwin University
Lucia Specia
Lucia Specia Imperial College London
Kalina Bontcheva
Kalina Bontcheva University of Sheffield
Graham Neubig
Graham Neubig Carnegie Mellon University
Mirella Lapata
Mirella Lapata University of Edinburgh
Chris Dyer
Chris Dyer Google (United States)

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