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Authors: Pawan Goyal 1 ; Laxmidhar Behera 2 and T. M. Mcginnity 1

Affiliations: 1 University of Ulster, United Kingdom ; 2 University of Ulster; Indian Institute of Technology, United Kingdom

ISBN: 978-989-674-011-5

Keyword(s): Question answering, Plan recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: In this paper, Action Language formalism has been used to reason about narratives in a multi agent framework. The actions have been given a semantic frame representation. Hypothetical situations have been dealt using different states for world knowledge and agents’ knowledge. A notion of plan recognition has been proposed to answer causal queries. Finally, an algorithm has been proposed for automatically translating a given narrative into the representation and causal query entailment has been shown.

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Paper citation in several formats:
Goyal P.; Behera L.; M. Mcginnity T. and (2009). ENTAILMENT OF CAUSAL QUERIES IN NARRATIVES USING ACTION LANGUAGE.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 112-118. DOI: 10.5220/0002275601120118

@conference{kdir09,
author={Pawan Goyal and Laxmidhar Behera and T. {M. Mcginnity}},
title={ENTAILMENT OF CAUSAL QUERIES IN NARRATIVES USING ACTION LANGUAGE},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={112-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002275601120118},
isbn={978-989-674-011-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - ENTAILMENT OF CAUSAL QUERIES IN NARRATIVES USING ACTION LANGUAGE
SN - 978-989-674-011-5
AU - Goyal, P.
AU - Behera, L.
AU - M. Mcginnity, T.
PY - 2009
SP - 112
EP - 118
DO - 10.5220/0002275601120118

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