Utterance Retrieval based on Recurrent Surface Text PatternsReport as inadecuate




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1 LIMSI - Laboratoire d-Informatique pour la Mécanique et les Sciences de l-Ingénieur 2 UP11 - Université Paris-Sud - Paris 11 3 ENSIIE - Ecole Nationale Supérieure d-Informatique pour l-Industrie et l-Entreprise

Abstract : This paper investigates the use of recurrent surface text patterns to represent and index open-domain dialogue utterances for a retrieval system that can be embedded in a conversational agent. This approach involves both the building of a database of such patterns by mining a corpus of written dialogic interactions, and the exploitation of this database in a generalised vector space model for utterance retrieval. It is a corpus-based, unsupervised, parameterless and language-independent process. Our study indicates that the proposed model performs objectively well comparatively to other retrieval models on a task of selection of dialogue examples derived from a large corpus of written dialogues.

Keywords : Dialogue utterance retrieval Example-based dialogue modelling Open-domain dialogue system Evaluation





Author: Guillaume Dubuisson Duplessis - Franck Charras - Vincent Letard - Anne-Laure Ligozat - Sophie Rosset -

Source: https://hal.archives-ouvertes.fr/



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