Associate Professor Trevor Cohn

  • Room: Level: 08 Room: 20
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Natural Language Processing (Translation, Text mining, Text analytics, Machine Learning)

Personal webpage

http://people.eng.unimelb.edu.au/tcohn

Biography

Trevor Cohn is an Associate Professor in the School of Computing and Information Systems, The University of Melbourne and an Australian Research Council Future Fellow. He was previously employed at the University of Sheffield and the University of Edinburgh, and has held visiting positions at the University of Melbourne and Johns Hopkins University. His research interests focus on development of probabilistic and statistical machine learning methods for modelling natural language text, with particular interests in machine translation, parsing and grammar induction. Current projects include text analytics and rumour diffusion over social media, translating diverse and noisy text sources and speech translation. He has served on the editorial boards for Computational Linguistics and Computer Speech and Language, as area chair and reviews for major conferences including ACL, EMNLP, COLING and NIPS, as well as reviewing for several grant authorities. Trevor completed a BEng(Software) and BComm(Finance) in 2000, followed by a PhD(Engineering) in 2007, all at The University of Melbourne. Prior to commencing his position at The University of Melbourne, he was a Senior Lecturer at The University of Sheffield (2009-2014).

Recent publications

  1. Duong L, Anastasopoulos A, Chiang D, Bird S, Cohn T. An attentional model for speech translation without transcription. 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). 2016.
  2. Lukasik M, Cohn T. Convolution kernels for discriminative learning from streaming text. 30th AAAI Conference on Artificial Intelligence (AAAI). 2016.
  3. Ji Y, Cohn T, Kong L, Dyer C, Eisenstein J. Document Context Language Models. 4th International Conference on Learning Representations - Workshop Track (ICLR). 2016.
  4. Panyam NC, Verspoor C, Cohn T, Kotagiri R. Exploiting tree kernels for high performance chemical induced disease relation extraction. 7th International Symposium on Semantic Mining in Biomedicine (SMBM). 2016, Vol. 1650.
  5. Beck D, Specia L, Cohn T. Exploring Prediction Uncertainty in Machine Translation Quality Estimation. 20th Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics. 2016.
  6. Shareghi E, Petri M, Haffari G, Cohn T. Fast, Small and Exact: Infinite-order Language Modeling with Compressed Suffix Trees. Transactions of the Association for Computational Linguistics. Open Journal Systems. 2016, Vol. 4.
  7. Lukasik M, Srijith PK, Vu D, Bontcheva K, Zubiaga A, Cohn T. Hawkes processes for continuous time sequence classification: An application to rumour stance classification in twitter. 54th Annual Meeting of the Association for Computational Linguistics (ACL). 2016.
  8. Hoang C, Haffari G, Cohn T. Incorporating side information into recurrent neural network language models. 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). 2016.
  9. Cohn T, Hoang C, Vymolova E, Yao K, Dyer C, Haffari G. Incorporating structural alignment biases into an attentional neural translation model. 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). 2016.
  10. Adams O, Neubig G, Cohn T, Bird S, Do QT, Nakamura S. Learning a Lexicon and Translation Model from Phoneme Lattices. 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. 2016.
  11. Adams O, Neubig G, Cohn T, Bird S. Learning a translation model from word lattices. 17th Annual Conference of the International Speech Communication Association (ISCA). 2016, Vol. 08-12-September-2016.
  12. Duong L, Kanayama H, Ma T, Bird S, Cohn T. Learning Crosslingual Word Embeddings without Bilingual Corpora. 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. 2016.
  13. Li Y, Cohn T, Baldwin T. Learning Robust Representations of Text. 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. 2016.
  14. Fang M, Cohn T. Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. 20th Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics. 2016.
  15. Rahimi A, Cohn T, Baldwin T. Pigeo: A Python geotagging tool. 54th Annual Meeting of the Association for Computational Linguistics (ACL). 2016.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile