emnlp emnlp2010 emnlp2010-24 emnlp2010-24-reference knowledge-graph by maker-knowledge-mining
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Author: Amit Goyal ; Ellen Riloff ; Hal Daume III
Abstract: In the 1980s, plot units were proposed as a conceptual knowledge structure for representing and summarizing narrative stories. Our research explores whether current NLP technology can be used to automatically produce plot unit representations for narrative text. We create a system called AESOP that exploits a variety of existing resources to identify affect states and applies “projection rules” to map the affect states onto the characters in a story. We also use corpus-based techniques to generate a new type of affect knowledge base: verbs that impart positive or negative states onto their patients (e.g., being eaten is an undesirable state, but being fed is a desirable state). We harvest these “patient polarity verbs” from a Web corpus using two techniques: co-occurrence with Evil/Kind Agent patterns, and bootstrapping over conjunctions of verbs. We evaluate the plot unit representations produced by our system on a small collection of Aesop’s fables.
Cecilia Ovesdotter Alm. 2009. Affect in Text and Speech. VDM Verlag Dr. Mller. D. Scott Appling and Mark O. Riedl. 2009. Representa- tions for learning to summarize plots. In Proceedings of the AAAI Spring Symposium on Intelligent Narrative Technologies II. Collin F. Baker, Charles J. Fillmore, and John B. Lowe. 1998. The Berkeley FrameNet Project. In In Proceedings of COLING/ACL, pages 86–90. Nathanael Chambers and Dan Jurafsky. 2008. Unsupervised learning of narrative event chains. In Proceedings of the Association for Computational Linguistics. Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised learning of narrative schemas and their participants. In Proceedings of the Association for Computational Linguistics. Yejin Choi, Eric Breck, and Claire Cardie. 2006. Joint extraction of entities and relations for opinion recognition. In EMNLP ’06: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 43 1–439, Morristown, NJ, USA. Association for Computational Linguistics. David Elson and Kathleen McKeown. 2009. Extending and evaluating a platform for story understanding. In Proceedings of the AAAI 2009 Spring Symposium on Intelligent Narrative Technologies II. Toshiaki Fujiki, Hidetsugu Nanba, and Manabu Okumura. 2003. Automatic acquisition of script knowledge from a text collection. In Proceedings of the European Association for Computational Linguistics. Vasileios Hatzivassiloglou and Kathy McKeown. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pages 174–181, Madrid, Spain. Paul J. Hopper and Sandra A. Thompson. 1980. Transitivity in grammar and discourse. Language, 56:251299. Niels Kasch and Tim Oates. 2010. Mining script-like structures from the web. In NAACL-10 Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR). S. Kim and E. Hovy. 2006. Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text. In Proceedings of ACL/COLING Workshop on Sentiment and Subjectivity in Text. W. Lehnert, J. Black, and B. Reiser. 1981. Summarizing Narratives. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence. W. G. Lehnert. 1981. Plot Units and Narrative Summarization. Cognitive Science, 5(4):293–33 1. 86 G. Miller. 1990. Wordnet: An On-line Lexical Database. International Journal of Lexicography, 3(4). Raymond Mooney and Gerald DeJong. 1985. Learning Schemata for Natural Language Processing. In Pro- ceedings of the Ninth International Joint Conference on Artificial Intelligence, pages 681–687. E. Riloff and W. Phillips. 2004. An Introduction to the Sundance and AutoSlog Systems. Technical Report UUCS-04-015, School of Computing, University of Utah. E. Riloff, J. Wiebe, and T. Wilson. 2003. Learning Subjective Nouns using Extraction Pattern Bootstrapping. In Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-2003), pages 25–32. Roger C. Schank and Robert P. Abelson. 1977. Scripts, plans, goals and understanding. Lawrence Erlbaum. V. Stoyanov and C. Cardie. 2008. Topic Identification for Fine-Grained Opinion Analysis. In Conference on Computational Linguistics (COLING 2008). Hiroya Takamura, Takashi Inui, and Manabu Okumura. 2005. Extracting semantic orientations of words using spin model. In ACL ’05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics. M. Thelen and E. Riloff. 2002. A Bootstrapping Method for Learning Semantic Lexicons Using Extraction Pa ttern Contexts. In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, pages 214–221 . A. Wierzbicka. 1987. English speech act verbs: a semantic dictionary. Academic Press, Sydney, Orlando. T. Wilson, P. Hoffmann, S. Somasundaran, J. Kessler, J. Wiebe, Y. Choi, C. Cardie, E. Riloff, and S. Patwardhan. 2005a. OpinionFinder: A system for subjectivity analysis. In Proceedings of HLT/EMNLP 2005 Interactive Demonstrations. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005b. Recognizing contextual polarity in phraselevel sentiment analysis. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 347–354. Association for Computational Linguistics.