Photo of David Weir

David Weir
Professor Of Computer Science (Informatics)
E:
T: +44 (0)1273 678993


Selected publications

Article

Weir, David, Reffin, Jeremy, Weeds, Julie and Kober, Thomas (2016) Aligning packed dependency trees: a theory of composition for distributional semantics. Computational Linguistics, 42 (4). pp. 727-761. ISSN 0891-2017

Weeds, Julie, Clarke, Daoud, Reffin, Jeremy, Weir, David and Keller, Bill (2014) Learning to distinguish hypernyms and co-hyponyms. Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. pp. 2249-2259.

Bollegala, Danushka, Weir, David and Carroll, John (2013) Cross-domain sentiment classification using a sentiment sensitive thesaurus. IEEE Transactions on Knowledge and Data Engineering, 25 (8). pp. 1719-1731. ISSN 1041-4347

Gómez-Rodríguez, Carlos, Carroll, John and Weir, David (2011) Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing. Computational Linguistics, 37 (3). 541-586.. ISSN 0891-2017

Book Section

Kober, Thomas, Weeds, Julie, Reffin, Jeremy and Weir, David (2016) Improving sparse word representations with distributional inference for semantic composition. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 1691-1702. ISBN 9781945626258

Conference or Workshop Item

Batchkarov, Miroslav, Kober, Thomas, Reffin, Jeremy, Weeds, Julie and Weir, David (2016) A critique of word similarity as a method for evaluating distributional semantic models. In: The First Workshop on Evaluating Vector Space Representations for NLP, 12th August 2016, Berlin. (Accepted)

Kober, Thomas and Weir, David (2015) Optimising agile social media analysis. In: 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015), 17th September 2015, Lisbon.

Wibberley, Simon, Reffin, Jeremy and Weir, David (2014) Method51 for mining insight from social media datasets. In: COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, August 2014, Dublin.

Bollegala, Danushka, Weir, David and Carroll, John (2014) Learning to predict distributions of words across domains. In: 52nd Annual Meeting of the Association for Computational Linguistics, 23-25 Jun 2014, Baltimore, MD.

Weeds, Julie, Weir, David and Reffin, Jeremy (2014) Distributional composition using higher order dependency vectors. In: 2nd Workshop on Continuous Space Vector Models and their Composition (EACL 2014 Workshop), April, 2014, Gothenberg, Sweden.

Wibberley, Simon, Reffin, Jeremy and Weir, David (2013) Language technology for agile social media science. In: Language Technology for Cultural Heritage, Social Sciences, and Humanities, 8th Aug 2013, Sofia, Bulgaria.

Bollegala, Danushka, Weir, David and Carroll, John (2011) Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT 2011), Portland, Oregon.

Conference Proceedings

Kober, Thomas, Weeds, Julie, Wilkie, John, Reffin, Jeremy and Weir, David (2017) One representation per word - does it make sense for composition? Published in: Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications [Valencia, Spain, 3rd-7th April 2017]. 79-90. Association for Computational Linguistics

Weeds, Julie, Kober, Thomas, Reffin, Jeremy and Weir, David (2017) When a red herring is not a red herring: using compositional methods to detect non-compositional phrases. Published in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics [Valencia, Spain, April 3-7, 2017]: Volume 2, Short Papers. 529-534. ISBN 9781945626357

Taylor, Joseph G, Sharmanska, Viktoriia, Kersting, Kristian, Weir, David and Quadrianto, Novi (2016) Learning using Unselected Features (LUFe). Published in: Kambhampati, Subbarao, (ed.) Proceedings of the 25th International Joint Conference on Artificial Intelligence; New York; 9–15 July 2016. 2060-2066. AAAI Press / International Joint Conferences on Artificial Intelligence ISBN 9781577357711