Commonsense knowledge acquisition through children’s stories

College

College of Computer Studies

Department/Unit

Software Technology

Document Type

Conference Proceeding

Source Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

7457 LNAI

First Page

244

Last Page

250

Publication Date

1-1-2012

Abstract

Humans interact with each other using their collection of commonsense knowledge about everyday concepts and their relationships. To establish a similar natural form of interaction with computers, they should be given the same collection of knowledge. Various research works have focused on building large-scale commonsense knowledge that computers can use. But capturing and representing commonsense knowledge into a machine-usable repository, whether manual or automated, are still far from completion. This research explores an approach to acquiring commonsense knowledge through the use of children’s stories. Relation extraction templates are also utilized to store the learned knowledge into an ontology, which can then be used by automatic story generators and other applications with children as the target users. © Springer-Verlag Berlin Heidelberg 2012.

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Digitial Object Identifier (DOI)

10.1007/978-3-642-32541-0_21

Disciplines

Computer Sciences | Software Engineering

Keywords

Intelligent agents (Computer software); Storytelling; Computer fiction; Computational linguistics

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