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Authors: Jérôme Lehuen and Thierry Lemeunier

Affiliation: Université du Maine, France

ISBN: 978-989-8425-13-3

Abstract: In this paper we present algorithms for analysis and generation in a human-machine dialog context. The originality of our approach is to base these two algorithms on the same knowledge. The latter combines both semantic and syntactic aspects. The algorithms are based on a double principle: the correspondence between offers and expectations, and the calculation of a heuristic score. We present also some results obtained by performing an evaluation based on the MEDIA French corpus.

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Paper citation in several formats:
Lehuen, J. and Lemeunier, T. (2010). A Language Model for Human-Machine Dialog: The Reversible Semantic Grammar.In Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010) ISBN 978-989-8425-13-3, pages 17-26. DOI: 10.5220/0003017200170026

@conference{nlpcs10,
author={Jérôme Lehuen and Thierry Lemeunier},
title={A Language Model for Human-Machine Dialog: The Reversible Semantic Grammar},
booktitle={Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010)},
year={2010},
pages={17-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003017200170026},
isbn={978-989-8425-13-3},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010)
TI - A Language Model for Human-Machine Dialog: The Reversible Semantic Grammar
SN - 978-989-8425-13-3
AU - Lehuen, J.
AU - Lemeunier, T.
PY - 2010
SP - 17
EP - 26
DO - 10.5220/0003017200170026

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