Narrative Hermeneutic Circle: Improving Character Role Identification from Natural Language Text via Feedback Loops

@inproceedings{VallsVargas2015NarrativeHC,
  title={Narrative Hermeneutic Circle: Improving Character Role Identification from Natural Language Text via Feedback Loops},
  author={Josep Valls-Vargas and Jichen Zhu and Santiago Onta{\~n}{\'o}n},
  booktitle={IJCAI},
  year={2015}
}
While most natural language understanding systems rely on a pipeline-based architecture, certain human text interpretation methods are based on a cyclic process between the whole text and its parts: the hermeneutic circle. In the task of automatically identifying characters and their narrative roles, we propose a feedback-loop-based approach where the output of later modules of the pipeline is fed back to earlier ones. We analyze this approach using a corpus of 21 Russian folktales. Initial… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 35 references

In Proceedings of FLAIRS 2013

  • Ricardo A. Calix, Leili Javadpour, Mehdi Khazaeli, Gerald M. Knapp. Automatic Detection of Nominal Entities Search
  • pages 190–195,
  • 2013

In Proceedings of the Ninth Artificial Intelligence and Interactive Digital Entertainment Conference

  • Josep Valls-Vargas, Santiago Ontañón, Jichen Zhu. Toward character role assignment for natural stories
  • pages 101–104,
  • 2013
2 Excerpts

PhD thesis

  • David K. Elson. Modeling Narrative Discourse
  • Columbia University,
  • 2012

Similar Papers

Loading similar papers…