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...
Enregistré dans:
Auteurs principaux: | Angèle Barbedette, Iris Eshkol-Taravella |
---|---|
Format: | article |
Langue: | EN FR |
Publié: |
Presses universitaires de Caen
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c2b7a14a3a4e4e7a9a2616ff50d1f1a0 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Question Dependent Recurrent Entity Network for Question Answering
par: Andrea Madotto, et autres
Publié: (2017) -
Multitask Learning with Deep Neural Networks for Community Question Answering
par: Daniele Bonadiman, et autres
Publié: (2017) -
The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach
par: Lisa Brunetti, et autres
Publié: (2021) -
EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform
par: Viviana Patti, et autres
Publié: (2020) -
On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages
par: Daniele Rossini, et autres
Publié: (2019)