Professor Nigel Collier

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 Murray Edwards 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. 

Publications

Recent publications include:

Pilehvar, M. T., Prokhorov, V., Kartsaklis, D. and Collier, N. (2018), “CARD-660: A Reliable Evaluation Framework for Rare Word Representation Models”, 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), “Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs”, 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), “Large-scale Exploration of Neural Relation Classification Architectures”, 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). “Which Melbourne? Augmenting Geocoding with Maps”, 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), “Towards Automatic Fake News Detection: Asymmetric Stance Detection in News Articles”, 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), “Modeling the Fake News Challenge as an Asymmetric Stance Detection Task”, 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) “What’s missing in geographical parsing?”, 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.