Descriptors for the Detection of the Chemical Risk

Natalia Grabar (1) , Thierry Hamon (2, 3)

1 STL - Savoirs, Textes, Langage (STL) - UMR 8163
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
3 UP13 - Université Paris 13

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.

Mots clés: Chemical risk; classification

Domaines: Informatique [cs]; Informatique et langage [cs.CL]

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