Processing incomplete temporal information in controlled natural language

Rolf Schwitter*

*Corresponding author for this work

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

Abstract

If not all temporal information is available in a text, humans usually use additional background knowledge to answer questions about the text. In this paper, we first investigate how humans answer this kind of questions and then suggest two general strategies that we can use to answer these questions automatically in a controlled natural language context. We show how background knowledge about events and their effects can be made explicit in a controlled natural language and how this additional information can be translated together with the textual information into a formal notation for automated reasoning. For this purpose, we introduce an Answer Set Programming based version of the Event Calculus and use this reasoning framework as a starting point for answering questions over the formalised textual information.

Original languageEnglish
Title of host publicationPRICAI 2012
Subtitle of host publicationtrends in artificial intelligence: 12th Pacific Rim International Conference on Artificial Intelligence, Kuching, Malaysia September 3-7 2012: proceedings
EditorsPatricia Anthony, Mitsuru Ishizuka, Dickson Lukose
Place of PublicationHeidelberg, Germany
PublisherSpringer, Springer Nature
Pages516-527
Number of pages12
ISBN (Print)9783642326943
DOIs
Publication statusPublished - 2012
Event12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012 - Kuching, Malaysia
Duration: 3 Sep 20127 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7458 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2012
CountryMalaysia
CityKuching
Period3/09/127/09/12

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  • Cite this

    Schwitter, R. (2012). Processing incomplete temporal information in controlled natural language. In P. Anthony, M. Ishizuka, & D. Lukose (Eds.), PRICAI 2012: trends in artificial intelligence: 12th Pacific Rim International Conference on Artificial Intelligence, Kuching, Malaysia September 3-7 2012: proceedings (pp. 516-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7458 LNAI). Heidelberg, Germany: Springer, Springer Nature. https://doi.org/10.1007/978-3-642-32695-0_46