Peer-reviewed articles and papers

de Bolla, P., Jones, E., Healy, R.  Nulty, P., R., Recchia, G., & Regan, J. (forthcoming). The Uses of Genre: Is there an ‘Adam Smith Question?’. Representations

de Bolla, P., Jones, E., Nulty, P., Recchia, G., & Regan, J. (2019). The Conceptual Foundations of the Modern Idea of Government in the British Eighteenth Century: A Distributional Concept Analysis. International Journal for History, Culture and Modernity, 7.

de Bolla, P., Jones, E., Nulty, P., Recchia, G., & Regan, J. (2019). Distributional Concept Analysis. Contributions to the History of Concepts, 14(1), 66-92.

Jones, E., & Nulty, P. (2019). Quantitative measures of lexical complexity in modern prose fiction. Digital Scholarship in the Humanities.

Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S., & Matsuo, A. (2018). quanteda: An R package for the quantitative analysis of textual data. J. Open Source Software, 3(30), 774.

Kamal, S., Nulty, P., Bugnon, O., Cavassini, M., & Schneider, M. P. (2018). Content analysis of antiretroviral adherence enhancing interview reports. Patient education and counseling, 101(9), 1676-1682.

Nulty, P. (2017).  Semantic Network Analysis of Contested Political Concepts. In proceedings of the 12th International Conference on Computational Semantics (IWCS). Association for Computational Linguistics.

Recchia, G. & Nulty, P. (2017). Improving a fundamental measure of lexical association Proceedings of the 39th Annual Conference of the Cognitive Science Society.

Nulty, P. (2017) Semantic/Content Analysis/Natural Language Processing. In Encyclopedia of Big Data. Springer International Publishing.

Nulty, P., Theocharis, Y., Popa, S. A., Parnet, O., & Benoit, K. (2016). Social media and political communication in the 2014 elections to the European Parliament. Electoral Studies.

Recchia, G., Jones, E., Nulty, P., Regan, J., & de Bolla, P. (2016). Tracing shifting conceptual vocabularies through time. In European Knowledge Acquisition Workshop (pp. 19-28). Springer, Cham.

Nulty, P., & Costello, F. (2013). General and specific paraphrases of semantic relations between nounsNatural Language Engineering19(03), 357-384. |code|

Nulty, P., & Costello, F. (2010). UCD-PN: Selecting general paraphrases using conditional probability. In Proceedings of the 5th International Workshop on Semantic Evaluation (pp. 234-237). Association for Computational Linguistics.

Nulty, P., & Costello, F. (2009). A comparison of word similarity measures for noun compound disambiguation. In Irish Conference on Artificial Intelligence and Cognitive Science (pp. 231-240). Springer Berlin Heidelberg

Nulty, P., & Costello, F. (2009,). Using lexical patterns in the Google Web 1T corpus to deduce semantic relations between nouns. In Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (pp. 58-63). Association for Computational Linguistics.

Nulty, P. (2007). Semantic classification of noun phrases using web counts and learning algorithms. In Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop(pp. 79-84). Association for Computational Linguistics.

Nulty, P. (2007). UCD-PN: Classification of semantic relations between nominals using wordnet and web counts. In Proceedings of the 4th International Workshop on Semantic Evaluations(pp. 374-377). Association for Computational Linguistics.


Blog posts, reports, and presentations

Titles in Digital Book Collections  (2016)

Entry for LSE/ICL text hackathon: Live text prediction in Shiny (2016) | code and slides | shinyapp|

Benoit, K. and Nulty, P. (2015). More than Unigrams Can Say: Detecting Meaningful Collocations in Political Text Paper presented at the New Directions in Analysing Text as Data, 2015, New York University

Quantitative Text Analysis. Presentation at ICSA Workshop Series on Open Source Research Methodology in Support of Non-Proliferation (2015)

Nulty, P. and Poletti, M. (2014). The immigration Issue in the UK in the 2014 EU Elections: Text Mining the Public Debate. Presentation at LSE Text Mining conference 2014. | code and slides |

Retrieving and parsing linguistic expressions of political attitudes. Computational Social Science workshop at ECCS 14. | code and slides|

The European Elections in Ireland. Guest post, LSE Euro Crisis in the Press blog

Tools and Methods for Quantitative Text Analysis. LSE Big Data Seminar series presentation. (2014)

Benoit, K. and Nulty, P. (2013). Classification Methods for Scaling Latent Political
Traits. Paper presented at the Annual Meeting of the Midwest Political Science
Association, April 11-14, 2013, Chicago.