Machine comprehension of text using combinatory categorial grammar and answer set programs
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Published version
Author(s)
Chabierski, P
Russo, A
Law, M
Broda, K
Type
Conference Paper
Abstract
We present an automated method for generating Answer Set Programs from narratives written in English and demonstrate how such a representation can be used to answer questions about text. The proposed approach relies on a transparent interface between the syntax and semantics of natural language provided by Combinatory Categorial Grammars to translate text into Answer Set Programs, hence creating a knowledge base that, together with background knowledge, can be queried.
Date Issued
2017-11-06
Date Acceptance
2017-09-08
Citation
CEUR Workshop Proceedings, 2017, 2052
ISSN
1613-0073
Publisher
CEUR Workshop Proceedings
Journal / Book Title
CEUR Workshop Proceedings
Volume
2052
Copyright Statement
© 2017 The Author(s).
Source
COMMONSENSE 2017
Publication Status
Published
Start Date
2017-11-06
Finish Date
2017-11-08
Coverage Spatial
London, UK
Date Publish Online
2017-11-06