Abstract
News is not simply a straight re-telling of events, but rather an interpretation of those events by a reporter, whose feelings and opinions can often become part of the story itself. Research on automatic summarization of news articles has thus far focused on facts rather than emotions, but perhaps emotions can be significant in news stories too. This article describes research done at the University of Ottawa to create an emotion-aware summarization system, which participated in the Text Analysis Conference last year. We have established that increasing the number of emotional words could help ranking sentences to be selected for the summary, but there was no overall improvement in the final system. Although this experiment did not improve news summarization as evaluated by a variety of standard scoring techniques, it was successful at generating summaries with more emotional words while maintaining the overall quality of the summary.
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References
Luhn, H.P.: The Automatic Creation of Literature Abstracts. IBM Journal of Research and Development 2, 159–165 (1958)
Mithun, S., Kosseim, L.: Summarizing Blog Entries Versus News Text. In: Proceedings of the Workshop on Events in Emerging Text Types. eETTs 2009, Stroudsburg, PA, USA, pp. 1–8. Association for Computational Linguistics (2009)
Balahur, A., Lloret, E., Boldrini, E., Montoyo, A., Palomar, M., Martínez-Barco, P.: Summarizing Threads in Blogs Using Opinion Polarity. In: Proceedings of the Workshop on Events in Emerging Text Types, eETTs 2009, Stroudsburg, PA, USA, pp. 23–31. Association for Computational Linguistics (2009)
Feng, S., Wang, D., Yu, G., Li, B., Wong, K.-F.: Summarizing and Extracting Online Public Opinion from Blog Search Results. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010. LNCS, vol. 5981, pp. 476–490. Springer, Heidelberg (2010)
Nenkova, A., Passonneau, R.J.: Evaluating Content Selection in Summarization: The Pyramid Method. In: Proceedings of HLT-NAACL, Human Language Technology Conference / North American Chapter of the ACL Annual Meeting, pp. 145–152 (2004)
Lin, C.Y.: ROUGE: A Package for Automatic Evaluation of summaries. In: Proceedings of the ACL Workshop: Text Summarization Branches Out, pp. 74–81 (2004)
Plutchik, R.: A General Psychoevolutionary Theory of Emotion. Emotion: Theory, Research, and Experience 1(3), 3–33 (1980)
Mohammad, S.M., Turney, P.D.: Crowdsourcing a Word-Emotion Association Lexicon. To Appear in Computational Intelligence (2012)
Givoni, I.E., Frey, B.J.: A Binary Variable Model for Affinity Propagation. Neural Computation 21, 1589–1600 (2009)
Kennedy, A., Szpakowicz, S.: Evaluation of a Sentence Ranker for Text Summarization Based on Roget’s Thesaurus. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2010. LNCS, vol. 6231, pp. 101–108. Springer, Heidelberg (2010)
Copeck, T., Kennedy, A., Scaiano, M., Inkpen, D., Szpakowicz, S.: Summarizing with Roget’s and with FrameNet. In: Second Text Analysis Conference, TAC (2009)
Kennedy, A., Copeck, T., Inkpen, D., Szpakowicz, S.: Entropy-Based Sentence Selection with Roget’s Thesaurus. In: Third Text Analysis Conference, TAC (2010)
Kennedy, A., Szpakowicz, S.: Evaluating Roget’s Thesauri. In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, ACL 2008, pp. 416–424. The Association for Computer Linguistics (2008)
Jarmasz, M., Szpakowicz, S.: Roget’s Thesaurus and Semantic Similarity. In: Recent Advances in Natural Language Processing III. Selected Papers from RANLP 2003. CILT, vol. 260, pp. 111–120. John Benjamins, Amsterdam (2004)
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Kennedy, A., Kazantseva, A., Inkpen, D., Szpakowicz, S. (2012). Getting Emotional about News Summarization. In: Kosseim, L., Inkpen, D. (eds) Advances in Artificial Intelligence. Canadian AI 2012. Lecture Notes in Computer Science(), vol 7310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30353-1_11
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DOI: https://doi.org/10.1007/978-3-642-30353-1_11
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