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Authors: Nathalie Camelin ; Boris Detienne ; Stéphane Huet ; Dominique Quadri and Fabrice Lefevre

Affiliation: University of Avignon, France

ISBN: 978-989-8425-79-9

Keyword(s): Concept discovery, Language understanding, Latent Dirichlet analysis, Dialogue systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Concept Mining ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: Most recent efficient statistical approaches for natural language understanding require a segmental annotation of training data. Such an annotation implies both to determine the concepts in a sentence and to link them to their corresponding word segments. In this paper we propose a two-steps alternative to the fully manual annotation of data: an initial unsupervised concept discovery, based on latent Dirichlet allocation, is followed by an automatic segmentation using integer linear optimisation. The relation between discovered topics and task-dependent concepts is evaluated on a spoken dialogue task for which a reference annotation is available. Topics and concepts are shown close enough to achieve a potential reduction of one half of the manual annotation cost.

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Paper citation in several formats:
Camelin, N.; Detienne, B.; Huet, S.; Quadri, D. and Lefevre, F. (2011). CONCEPT DISCOVERY FOR LANGUAGE UNDERSTANDING IN AN INFORMATION-QUERY DIALOGUE SYSTEM.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 24-29. DOI: 10.5220/0003640500240029

@conference{kdir11,
author={Nathalie Camelin. and Boris Detienne. and Stéphane Huet. and Dominique Quadri. and Fabrice Lefevre.},
title={CONCEPT DISCOVERY FOR LANGUAGE UNDERSTANDING IN AN INFORMATION-QUERY DIALOGUE SYSTEM},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={24-29},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003640500240029},
isbn={978-989-8425-79-9},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - CONCEPT DISCOVERY FOR LANGUAGE UNDERSTANDING IN AN INFORMATION-QUERY DIALOGUE SYSTEM
SN - 978-989-8425-79-9
AU - Camelin, N.
AU - Detienne, B.
AU - Huet, S.
AU - Quadri, D.
AU - Lefevre, F.
PY - 2011
SP - 24
EP - 29
DO - 10.5220/0003640500240029

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