License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2013.198
URN: urn:nbn:de:0030-drops-41454
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4145/
Go to the corresponding OASIcs Volume Portal


Sagae, Kenji ; Gordon, Andrew S. ; Dehghani, Morteza ; Metke, Mike ; Kim, Jackie S. ; Gimbel, Sarah I. ; Tipper, Christine ; Kaplan, Jonas ; Immordino-Yang, Mary Helen

A Data-Driven Approach for Classification of Subjectivity in Personal Narratives

pdf-format:
p198-sagae.pdf (1 MB)


Abstract

Personal narratives typically involve a narrator who participates in a sequence of events in the past. The narrator is therefore present at two narrative levels: (1) the extradiegetic level, where the act of narration takes place, with the narrator addressing an audience directly; and (2) the diegetic level, where the events in the story take place, with the narrator as a participant (usually the protagonist). Although story understanding is commonly associated with semantics of the diegetic level (i.e., understanding the events that take place within the story), personal narratives may also contain important information at the extradiegetic level that frames the narrated events and is crucial for capturing the narrator’s intent. We present a data-driven modeling approach that learns to identify subjective passages that express mental and emotional states of the narrator, placing them at either the diegetic or extradiegetic level. We describe an experiment where we used narratives from personal weblog posts to measure the effectiveness of our approach across various topics in this narrative genre.

BibTeX - Entry

@InProceedings{sagae_et_al:OASIcs:2013:4145,
  author =	{Kenji Sagae and Andrew S. Gordon and Morteza Dehghani and Mike Metke and Jackie S. Kim and Sarah I. Gimbel and Christine Tipper and Jonas Kaplan and Mary Helen Immordino-Yang},
  title =	{{A Data-Driven Approach for Classification of Subjectivity in Personal Narratives}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  pages =	{198--213},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Mark A. Finlayson and Bernhard Fisseni and Benedikt L{\"o}we and Jan Christoph Meister},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2013/4145},
  URN =		{urn:nbn:de:0030-drops-41454},
  doi =		{10.4230/OASIcs.CMN.2013.198},
  annote =	{Keywords: personal narrative, subjectivity, diegetic levels, discourse}
}

Keywords: personal narrative, subjectivity, diegetic levels, discourse
Collection: 2013 Workshop on Computational Models of Narrative
Issue Date: 2013
Date of publication: 02.08.2013


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI