Abstract
In this paper we present a system for modality detection which is then used for Subjectivity and Factuality evaluation. The system has been tested lately on a task for Subjectivity and Irony detection in Italian tweets (http://www.di.unito.it/~tutreeb/sentipolc-evalita14/index.html), where the performance was 10th and 4th, respectively, over 27 participants overall. We will focus our paper on an internal evaluation where we considered three national newspapers Il Corriere, Repubblica, Libero. This task was prompted by a project on the evaluation of press stylistic features in political discourse. The project used newspaper articles from the same sources over a period of three months, thus including latest political 2013 governmental crisis. We intended to produce a similar experiment and evaluate results in comparison with previous 2011 crisis. In this evaluation, we focused on Subjectivity, Polarity and Factuality which include Modality evaluation. Final graphs at the end of the paper will show results confirming our previous findings about differences in style, with Il Corriere emerging as the most atypical.
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References
Baker, K., Bloodgood, M., Dorr, B.J., Filardo, N.W., Levin, L., Piatko, C.: A modality lexicon and its use in automatic tagging. arXiv preprint arXiv:1410.4868 (2014)
Bracewell, D., Hinote, D., Monahan, S.: The author perspective model for classifying deontic modality in events. In: The Twenty-Seventh International Flairs Conference, March 2014
Delmonte, R.: Extracting opinion and factivity from Italian political discourse. In: Sharp, B., Zock, M. (eds.) Proceedings 10th International Workshop NLPCS, Natural Language Processing and Cognitive Science, Marseille, pp. 162–176 (2013)
Delmonte, R., Gifu, D., Tripodi, R.: Opinion and factivity analysis of Italian political discourse. In: Basili, R., Sebastiani, F., Semeraro, G. (eds.) Proceedings of 4th Italian Information Retrieval Workshop, IIR2013, Pisa. CEUR Workshop Proceedings, vol. 964, pp. 88–99. CEUR-WS.org (2013). ISSN 1613-0073, http://ceur-ws.org
Delmonte, R., Pallotta, V.: Opinion mining and sentiment analysis need text understanding. In: Pallotta, V., Soro, A., Vargiu, E. (eds.) DART 2011. SCI, vol. 361, pp. 81–95. Springer, Heidelberg (2011)
Delmonte, R.: Computational Linguistic Text Processing. Nova Science Publishers, New York (2007)
Delmonte, R.: Text understanding with GETARUNS for Q/A and summarization. In: Proceedings of ACL 2004 - 2nd Workshop on Text Meaning & Interpretation, Barcelona, pp. 97–104. Columbia University (2004)
Doddington, G.R., Mitchell, A., Przybocki, M.A., Ramshaw, L.A., Strassel, S., Weischedel, R.M.: The automatic content extraction (ace) program-tasks, data, and evaluation. In: LREC (2004)
Esuli, A., Sebastiani, F.: Determining term subjectivity and term orientation for opinion mining. In: EACL 2006 (2006)
Frawley, W. (ed.): The Expression of Modality. Mouton de Gruyter, Berlin (2006)
Kim, S., Hovy, E.: Automatic identification of pro and con reasons in online reviews. In: COLING/ACL (2006)
Kobayashi, N., Iida, R., Inui, K., Matsumoto, Y.: Opinion mining on the web by extracting subject-attribute-value relations. In: Proceedings of AAAI-CAAW 2006 (2006)
Nuyts, J.: Modality: overview and linguistic issues. In: Frawley, W. (ed.) The expression of modality, pp. 1–26. Mouton De Gruyter, Berlin (2006)
Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A Comprehensive Grammar of the English Language. Longman, London (1985)
Walker, C., Strassel, S., Medero, J., Maeda, K.: Ace 2005 Multilingual Training Corpus. Linguistic Data Consortium, Philadelphia (2006)
Wilson, T., Wiebe, J., Hwa, R.: Just how mad are you? Finding strong and weak opinion clauses. In: AAAI 2004 (2004)
Wiebe, J., Mihalcea, R.: Word sense and subjectivity. In: ACL 2006 (2006)
Wiebe, J., Riloff, E.: Creating subjective and objective sentence classifiers from unannotated texts. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol. 3406, pp. 486–497. Springer, Heidelberg (2005)
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Delmonte, R. (2015). Automatic Detection of Modality with ITGETARUNS. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2015. Lecture Notes in Computer Science(), vol 9103. Springer, Cham. https://doi.org/10.1007/978-3-319-19581-0_38
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DOI: https://doi.org/10.1007/978-3-319-19581-0_38
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