@inproceedings{lopez-espejel-2019-automatic,
title = "Automatic summarization of medical conversations, a review",
author = "L{\'o}pez Espejel, Jessica",
editor = "Morin, Emmanuel and
Rosset, Sophie and
Zweigenbaum, Pierre",
booktitle = "Actes de la Conf{\'e}rence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume III : RECITAL",
month = "7",
year = "2019",
address = "Toulouse, France",
publisher = "ATALA",
url = "https://aclanthology.org/2019.jeptalnrecital-recital.3/",
pages = "487--498",
abstract = "ion et pour l`analyse du dialogue. Nous d{\'e}crivons aussi les utilisation du Traitement Automatique des Langues dans le domaine m{\'e}dical. A BSTRACT Conversational analysis plays an important role in the development of simulation devices for the training of health professionals (doctors, nurses). Our goal is to develop an original automatic synthesis method for medical conversations between a patient and a healthcare professional, based on recent advances in summarization using convolutional and recurrent neural networks. The proposed method must be adapted to the specific problems related to the synthesis of dialogues. This article presents a review of the different methods for extractive and abstractive summarization, and for dialogue analysis. We also describe the use of Natural Language Processing in the medical field."
}
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<abstract>ion et pour l‘analyse du dialogue. Nous décrivons aussi les utilisation du Traitement Automatique des Langues dans le domaine médical. A BSTRACT Conversational analysis plays an important role in the development of simulation devices for the training of health professionals (doctors, nurses). Our goal is to develop an original automatic synthesis method for medical conversations between a patient and a healthcare professional, based on recent advances in summarization using convolutional and recurrent neural networks. The proposed method must be adapted to the specific problems related to the synthesis of dialogues. This article presents a review of the different methods for extractive and abstractive summarization, and for dialogue analysis. We also describe the use of Natural Language Processing in the medical field.</abstract>
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%0 Conference Proceedings
%T Automatic summarization of medical conversations, a review
%A López Espejel, Jessica
%Y Morin, Emmanuel
%Y Rosset, Sophie
%Y Zweigenbaum, Pierre
%S Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume III : RECITAL
%D 2019
%8 July
%I ATALA
%C Toulouse, France
%F lopez-espejel-2019-automatic
%X ion et pour l‘analyse du dialogue. Nous décrivons aussi les utilisation du Traitement Automatique des Langues dans le domaine médical. A BSTRACT Conversational analysis plays an important role in the development of simulation devices for the training of health professionals (doctors, nurses). Our goal is to develop an original automatic synthesis method for medical conversations between a patient and a healthcare professional, based on recent advances in summarization using convolutional and recurrent neural networks. The proposed method must be adapted to the specific problems related to the synthesis of dialogues. This article presents a review of the different methods for extractive and abstractive summarization, and for dialogue analysis. We also describe the use of Natural Language Processing in the medical field.
%U https://aclanthology.org/2019.jeptalnrecital-recital.3/
%P 487-498
Markdown (Informal)
[Automatic summarization of medical conversations, a review](https://aclanthology.org/2019.jeptalnrecital-recital.3/) (López Espejel, JEP/TALN/RECITAL 2019)
ACL