Annotation of children's oral narrations

Modeling emergent narrative skills for computational applications

Rebecca Jane Passonneau, Adam Goodkind, Elena T. Levy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We present an annotation method for developing a model of children's comprehension that differentiates between their recall for the objective content of a story and inferred content. We apply the annotation method to a corpus of retellings, in which children retell the same story on three successive days. Our results indicate differences over time: on Day three, children have a more evenly distributed recall of events throughout the story, and include significantly more inferences. The results suggest a cognitive bootstrapping effect. We discuss the potential for application to diagnostic assessment of children's narrative skills and tutorial applications.

Original languageEnglish (US)
Title of host publicationProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Pages253-258
Number of pages6
StatePublished - Dec 28 2007
Event20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 - Key West, FL, United States
Duration: May 7 2007May 9 2007

Publication series

NameProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Other

Other20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
CountryUnited States
CityKey West, FL
Period5/7/075/9/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Passonneau, R. J., Goodkind, A., & Levy, E. T. (2007). Annotation of children's oral narrations: Modeling emergent narrative skills for computational applications. In Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 (pp. 253-258). (Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007).
Passonneau, Rebecca Jane ; Goodkind, Adam ; Levy, Elena T. / Annotation of children's oral narrations : Modeling emergent narrative skills for computational applications. Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007. 2007. pp. 253-258 (Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007).
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Passonneau, RJ, Goodkind, A & Levy, ET 2007, Annotation of children's oral narrations: Modeling emergent narrative skills for computational applications. in Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007. Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007, pp. 253-258, 20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007, Key West, FL, United States, 5/7/07.

Annotation of children's oral narrations : Modeling emergent narrative skills for computational applications. / Passonneau, Rebecca Jane; Goodkind, Adam; Levy, Elena T.

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007. 2007. p. 253-258 (Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Levy, Elena T.

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AB - We present an annotation method for developing a model of children's comprehension that differentiates between their recall for the objective content of a story and inferred content. We apply the annotation method to a corpus of retellings, in which children retell the same story on three successive days. Our results indicate differences over time: on Day three, children have a more evenly distributed recall of events throughout the story, and include significantly more inferences. The results suggest a cognitive bootstrapping effect. We discuss the potential for application to diagnostic assessment of children's narrative skills and tutorial applications.

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Passonneau RJ, Goodkind A, Levy ET. Annotation of children's oral narrations: Modeling emergent narrative skills for computational applications. In Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007. 2007. p. 253-258. (Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007).