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 a supervised automatic classifi...
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| Format: | Article |
| Language: | English |
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Presses universitaires de Caen
2021-10-01
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| Series: | Discours |
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| Online Access: | https://journals.openedition.org/discours/11359 |
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| _version_ | 1832581850797703168 |
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| author | Angèle Barbedette Iris Eshkol-Taravella |
| author_facet | Angèle Barbedette Iris Eshkol-Taravella |
| author_sort | Angèle Barbedette |
| collection | DOAJ |
| 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 |
| id | doaj-art-614bf1dbaca24ff3895ebd01779a50c3 |
| institution | Kabale University |
| issn | 1963-1723 |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Presses universitaires de Caen |
| record_format | Article |
| series | Discours |
| spelling | doaj-art-614bf1dbaca24ff3895ebd01779a50c32025-01-30T09:53:10ZengPresses universitaires de CaenDiscours1963-17232021-10-012810.4000/discours.11359Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questionsAngèle BarbedetteIris Eshkol-TaravellaThis 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.https://journals.openedition.org/discours/11359intention detectiondialog actspontaneous speech transcriptionsquestions classificationopinion miningmachine learning |
| spellingShingle | Angèle Barbedette Iris Eshkol-Taravella Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions Discours intention detection dialog act spontaneous speech transcriptions questions classification opinion mining machine learning |
| title | 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_short | 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 reponses classification automatique des intentions dans les questions |
| topic | intention detection dialog act spontaneous speech transcriptions questions classification opinion mining machine learning |
| url | https://journals.openedition.org/discours/11359 |
| work_keys_str_mv | AT angelebarbedette quandlesquestionsendisentplusquelesreponsesclassificationautomatiquedesintentionsdanslesquestions AT iriseshkoltaravella quandlesquestionsendisentplusquelesreponsesclassificationautomatiquedesintentionsdanslesquestions |