NDLI: Modeling discussion topics in interactions with a tablet reading primer

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Modeling discussion topics in interactions with a tablet reading primer

Content Provider	ACM Digital Library
Author	Chernova, Sonia Boteanu, Adrian
Abstract	CloudPrimer is a tablet-based interactive reading primer that aims to foster early literacy skills and shared parent-child reading through user-targeted discussion topic suggestions. The tablet application records discussions between parents and children as they read a story and leverages this information, in combination with a common sense knowledge base, to develop discussion topic models. The long-term goal of the project is to use such models to provide context-sensitive discussion topic suggestions to parents during the shared reading activity in order to enhance the interactive experience and foster parental engagement in literacy education. In this paper, we present a novel approach for using commonsense reasoning to effectively model topics of discussion in unstructured dialog. We introduce a metric for localizing concepts that the users are interested in at a given moment in the dialog and extract a time sequence of words of interest. We then present algorithms for topic modeling and refinement that leverage semantic knowledge acquired from ConceptNet, a commonsense knowledge base. We evaluate the performance of our algorithms using transcriptions of audio recordings of parent-child pairs interacting with a tablet application, and compare the output of our algorithms to human-generated topics. Our results show that words of interest and discussion topics selected by our algorithm closely match those identified by human readers.
Starting Page	75
Ending Page	84
Page Count	10
File Format	PDF
ISBN	9781450319652
DOI	10.1145/2449396.2449409
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-03-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Context-aware computing Dialog analysis User and cognitive models
Content Type	Text
Resource Type	Article

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