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Isaac Scientific Publishing
Advances in the Linguistic Sciences
Matthew Purver,  Queen Mary University of London, UK
Research interests:
Computational linguistics, semantics and pragmatics of dialogue.
Selected Publication List
• Stephen McGregor, Matthew Purver and Geraint Wiggins. Process Based Evaluation of Computer Generated Poetry. In the INLG Workshop on Computational Creativity and Natural Language Generation, Edinburgh, UK, September 2016.
• Karolina Sylwester and Matthew Purver. Twitter language use reflects psychological differences between Democrats and Republicans. PLoS ONE 10(9): e0137422, 2015.
• Matthew Purver, Julian Hough and Eleni Gregoromichelaki. Dialogue and Compound Contributions. In A. Stent and S. Bangalore (eds.), Natural Language Generation in Interactive Systems, pages 63-92, Cambridge University Press, June 2014.
• Dmitrijs Milajevs, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh and Matthew Purver. Evaluating Neural Word Representations in Tensor-Based Compositional Settings. In Proceedings of EMNLP, Doha, Qatar, October 2014.
• Christine Howes, Matthew Purver and Rose McCabe. Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression. In Proceedings of the ACL 2014 workshop on Computational Linguistics and Clinical Psychology (CLCP), Baltimore, MD, June 2014.
• Julian Hough and Matthew Purver. Probabilistic Type Theory for Incremental Dialogue Processing. In Proceedings of the EACL 2014 Workshop on Type Theory and Natural Language Semantics (TTNLS), Gothenburg, April 2014.
• Arash Eshghi, Julian Hough, Matthew Purver. Incremental Grammar Induction from Child-Directed Dialogue Utterances. In Proceedings of the ACL Workshop on Cognitive Modeling and Computational Linguistics (CMCL) pags 94-103, Sofia, August 2013.
• Zheng Yuan and Matthew Purver. Predicting Emotion Labels for Chinese Microblog Texts. In the 1st International Workshop on Sentiment Discovery from Affective Data (SDAD), Bristol, September 2012.
• Christine Howes, Matthew Purver, Rose McCabe, Patrick Healey and Mary Lavelle. Predicting Adherence to Treatment for Schizophrenia from Dialogue Transcripts. In Proceedings of the SIGDIAL 2012 Conference, Seoul, July 2012.
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