Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions

This work aims to automatically detect the intents of speakers in questions asked during meals. The corpus is composed of transcripts of spontaneous oral conversations. We suggest a typology of these intents based on existing work and the corpus analysis. We implement...

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Autores principales:	Angèle Barbedette, Iris Eshkol-Taravella
Formato:	article
Lenguaje:	EN FR
Publicado:	Presses universitaires de Caen 2021
Materias:	intention detection dialog act spontaneous speech transcriptions questions classification opinion mining machine learning Philology. Linguistics P1-1091 Computational linguistics. Natural language processing P98-98.5
Acceso en línea:	https://doaj.org/article/c2b7a14a3a4e4e7a9a2616ff50d1f1a0
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id	oai:doaj.org-article:c2b7a14a3a4e4e7a9a2616ff50d1f1a0
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spelling	oai:doaj.org-article:c2b7a14a3a4e4e7a9a2616ff50d1f1a02021-12-02T09:54:54ZQuand les questions en disent plus que les réponses : classification automatique des intentions dans les questions1963-172310.4000/discours.11359https://doaj.org/article/c2b7a14a3a4e4e7a9a2616ff50d1f1a02021-10-01T00:00:00Zhttp://journals.openedition.org/discours/11359https://doaj.org/toc/1963-1723This work aims to automatically detect the intents of speakers in questions asked during meals. The corpus is composed of transcripts of spontaneous oral conversations. We suggest a typology of these intents based on existing work and the corpus analysis. We implement a supervised automatic classification model based on annotated data and selected linguistic features, whose results and performance are evaluated and interpreted.Angèle BarbedetteIris Eshkol-TaravellaPresses universitaires de Caenarticleintention detectiondialog actspontaneous speech transcriptionsquestions classificationopinion miningmachine learningPhilology. LinguisticsP1-1091Computational linguistics. Natural language processingP98-98.5ENFRDiscours , Vol 28 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	intention detection dialog act spontaneous speech transcriptions questions classification opinion mining machine learning Philology. Linguistics P1-1091 Computational linguistics. Natural language processing P98-98.5
spellingShingle	intention detection dialog act spontaneous speech transcriptions questions classification opinion mining machine learning Philology. Linguistics P1-1091 Computational linguistics. Natural language processing P98-98.5 Angèle Barbedette Iris Eshkol-Taravella Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
description	This work aims to automatically detect the intents of speakers in questions asked during meals. The corpus is composed of transcripts of spontaneous oral conversations. We suggest a typology of these intents based on existing work and the corpus analysis. We implement a supervised automatic classification model based on annotated data and selected linguistic features, whose results and performance are evaluated and interpreted.
format	article
author	Angèle Barbedette Iris Eshkol-Taravella
author_facet	Angèle Barbedette Iris Eshkol-Taravella
author_sort	Angèle Barbedette
title	Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
title_short	Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
title_full	Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
title_fullStr	Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
title_full_unstemmed	Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
title_sort	quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions
publisher	Presses universitaires de Caen
publishDate	2021
url	https://doaj.org/article/c2b7a14a3a4e4e7a9a2616ff50d1f1a0
work_keys_str_mv	AT angelebarbedette quandlesquestionsendisentplusquelesreponsesclassificationautomatiquedesintentionsdanslesquestions AT iriseshkoltaravella quandlesquestionsendisentplusquelesreponsesclassificationautomatiquedesintentionsdanslesquestions
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Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions

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