A Language Model for Human-Machine Dialog: The Reversible Semantic Grammar

Jérôme Lehuen, Thierry Lemeunier

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.

References

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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