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A Straightforward Approach to Narratologically Grounded Character Identification.

, , , and . COLING, page 6089-6100. International Committee on Computational Linguistics, (2020)

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Detecting Subevents using Discourse and Narrative Features., and . ACL (1), page 4780-4790. Association for Computational Linguistics, (2019)A Straightforward Approach to Narratologically Grounded Character Identification., , , and . COLING, page 6089-6100. International Committee on Computational Linguistics, (2020)A New Approach to Animacy Detection., , and . COLING, page 1-12. Association for Computational Linguistics, (2018)The Story Workbench: An Extensible Semi-Automatic Text Annotation Tool.. Intelligent Narrative Technologies, volume WS-11-18 of AAAI Technical Report, AAAI, (2011)Java Libraries for Accessing the Princeton Wordnet: Comparison and Evaluation.. GWC, page 78-85. University of Tartu Press, (2014)Preface: Computational Models of Narrative., , , , and . AAAI Fall Symposium: Computational Models of Narrative, volume FS-10-04 of AAAI Technical Report, AAAI, (2010)Recent Advances in Narrative Natural Language Processing.. Text2Story@ECIR, volume 2593 of CEUR Workshop Proceedings, page 3. CEUR-WS.org, (2020)Identifying the Discourse Function of News Article Paragraphs., , , and . EventStory@Coling, page 25-33. Association for Computational Linguistics, (2018)Distinguishing Between Foreground and Background Events in News., , , and . COLING, page 5171-5180. International Committee on Computational Linguistics, (2020)Learning a Better Motif Index: Toward Automated Motif Extraction., and . CMN, volume 53 of OASIcs, page 7:1-7:10. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)