Presentations (Communicative Events)

Annotation of Children's Oral Narrations: Modeling Emergent Narrative Skills for Computational Applications

Passonneau, Rebecca; Goodkind, Adam; Levy, Elena T.

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 through- out 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.


More About This Work

Academic Units
Computer Science
Proceedings of the Twentieth Annual Meeting of the Florida Artificial Intelligence Research Society (FLAIRS-20)
Published Here
July 22, 2013