Descriptors for the Detection of the Chemical Risk

Abstract : We propose an experience on the automatic detection of sentences conveying the notion of chemical risk. Our objective is to study which resources are useful for the automatic detection of such sentences. Lexical, semantic and opinion-oriented content of the sentences is studied. Our results indicate that not only lexical and semantic content must be taken into account, but also markers related to the modality, opinion and polarity.
Type de document :
Communication dans un congrès
Pamela Faber and Thierry Poibeau. International Conference on Terminology and Artificial Intelligence, Jan 2015, Granada, Spain
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01972751
Contributeur : Limsi Publications <>
Soumis le : lundi 7 janvier 2019 - 20:28:37
Dernière modification le : mardi 12 février 2019 - 01:30:30

Identifiants

  • HAL Id : hal-01972751, version 1

Citation

Natalia Grabar, Thierry Hamon. Descriptors for the Detection of the Chemical Risk. Pamela Faber and Thierry Poibeau. International Conference on Terminology and Artificial Intelligence, Jan 2015, Granada, Spain. 〈hal-01972751〉

Partager

Métriques

Consultations de la notice

26