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Nigel Collier
Fellow

Professor Nigel Collier

Official Fellow; Professorial Fellow in Linguistics

Contact
nhc30@cam.ac.uk⁠ 01223 760373⁠
Websites
Social media

Degrees and Honours

Ph.D. University of Manchester (Computational Linguistics)

M.Sc. University of Manchester (Machine Translation)

B.Sc. (Hons) Leeds University(Computer Science)

Awards and Prizes

2017     Fellowship, Alan Turing Institute for data science and artificial intelligence

2014     Fellowship, Engineering and Physical Sciences Research Council

2012    Fellowship, Marie Curie International Research Fellowship

2008     Fellowship, Japan Science and Technology Agency Research Fellowship

2002     Visiting Fellowship, Japan Society for the Promotion of Science

1996    Fellowship, Toshiba Corporation

Research Interests

Natural Language Processing

Text mining

Veracity detection on the Web and social media

Grounding of language

Deep learning models of natural language processing

Biography

I joined 51福利社 in October 2018 as a Supernumerary Fellow. My research interests span work on machine learning for Natural Language Processing (NLP). I have a special interest in applications to biology, medicine and public health. I have been working at the Department of Theoretical and Applied Linguistics as Director of Research in Computational Linguistics since 2015 and am currently both a University Lecturer and an EPSRC Experienced Researcher Fellowship. Prior to this I was a Marie Curie Research Fellow at the European Bioinformatics Institute in Cambridge and an Associate Professor at the National Institute of Informatics in Tokyo.

Authored work

  • Recent publications include:

    Pilehvar, M. T., Prokhorov, V., Kartsaklis, D. and Collier, N. (2018), 鈥淐ARD-660: A Reliable Evaluation Framework for Rare Word Representation Models鈥, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium (in press).

     

    Kartsaklis, D., Pilehvar, M. T. and Collier, N. (2018), 鈥淢apping Text to Knowledge Graph Entities using Multi-Sense LSTMs鈥, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium (in press).

     

    Le, H. Q., Can, D. C., Vu, T. S., Dang, T. H.., Pilehvar, M. T. and Collier, N. (2018), 鈥淟arge-scale Exploration of Neural Relation Classification Architectures鈥, in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium (in press).

     

    Gritta, M., Pilehvar, M. T., & Collier, N. (2018). 鈥淲hich Melbourne? Augmenting Geocoding with Maps鈥, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, pp. 1285-1296.

     

    Conforti, C., Pilehvar, M. T. and Collier, N. (2018), 鈥淭owards Automatic Fake News Detection: Asymmetric Stance Detection in News Articles鈥, in Proceedings of the First Workshop on Fact Extraction and Verificiation at EMNLP 2018, Brussels, Belgium (in press).

     

    Conforti, C., Pilehvar, M. T. and Collier, N. (2018), 鈥淢odeling the Fake News Challenge as an Asymmetric Stance Detection Task鈥, in Proceedings of the 2nd International Workshop on Rumours and Deception in Social Media (RDSM) at CIKM 2018, Turin, Italy, (in press).

     

    Gritta, M., Pilehvar, M. T., Limsopatham, N. and Collier, N. (2017), "Vancouver Welcomes You! Minimalist Location Metonymy Resolution", in Proceedings of the Association of Computational Linguistics Annual Meeting (ACL 2017), Vancouver, Canada, pp. 1248-1259. 

     

    Gritta, M., Pilehvar, M. T., Limsopatham, N., & Collier, N. (2017) 鈥淲hat鈥檚 missing in geographical parsing?鈥, Language Resources and Evaluation, 1-21.

     

    Pilehvar, M. T., Camacho-Collados, J., Navigli, R. and Collier, N. (2017), "Towards a Seamless Integration of Word Senses into Downstream NLP Applications", in Proceedings of the Association of Computational Linguistics Annual Meeting (ACL 2017), Vancouver, Canada, August, pp. 1857-1869.

     

    Pilehvar, M. T. and Collier, N. (2017), "Inducing Representations for Rare Words by Leveraging Lexical Resources", in Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, pp. 388-393.

Subject
Linguistics