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A Bayesian mixed effects model of literary character
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Unsupervised learning of narrative event chains
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USA
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Event schema induction with a probabilistic entity-driven model
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Probabilistic frame induction
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Extracting social networks from literary fiction
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Uppsala, Sweden
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Elson, D. K.; Dames, N.; and McKeown, K. 2010. Extracting social networks from literary fiction. In ACL 2010, Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 138-147.
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Sofia, Bulgaria, Volume 1: Long Papers
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Feng, S.; Kang, J. S.; Kuznetsova, P.; and Choi, Y. 2013. Connotation lexicon: A dash of sentiment beneath the surface meaning. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, Sofia, Bulgaria, Volume 1: Long Papers, 1774-1784.
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Automatically producing plot unit representations for narrative text
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Massachusetts, USA
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Goyal, A.; Riloff, E.; and Dauḿe III, H. 2010. Automatically producing plot unit representations for narrative text. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, EMNLP 2010, Massachusetts, USA, 77-86.
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Identification of speakers in novels
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Opinion observer: Analyzing and comparing opinions on the web
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Chiba, Japan
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Liu, B.; Hu, M.; and Cheng, J. 2005. Opinion observer: Analyzing and comparing opinions on the web. In Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, 342-351.
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The stanford corenlp natural language processing toolkit
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ACL 2014, Baltimore, MD, USA
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Plot induction and evolutionary search for story generation
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Qúebec City, Qúebec, Canada
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Toward automatic role identification in unannotated folk tales
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AIIDE 2014, Raleigh, NC, USA
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Valls-Vargas, J.; Zhu, J.; and Ontãńon, S. 2014. Toward automatic role identification in unannotated folk tales. In Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014, Raleigh, NC, USA.
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