BioExcom: Detection and categorization of speculative sentences in biomedical literature - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2011

BioExcom: Detection and categorization of speculative sentences in biomedical literature

Résumé

Biological research papers are replete with speculative sentences. We present the BioExcom rule-based system, which detects speculations in biomedical literature. Furthermore, it enables to distinguish automatically between prior and new speculations in the analyzed paper. BioExcom is based on the Contextual Exploration processing (hierarchical research of linguistic surface markers with the EXCOM computational platform). To accomplish this task, BioExcom uses also specific linguistic resources established by concise semantic analysis performed by a biologist and a linguist. Our work shows that it is possible to detect and categorize speculative sentences without computational deep linguistic analyses. This work could be useful for biologists who are interested by finding new hypothesis in literature.
Fichier principal
Vignette du fichier
Descles_LTC-LNAI_2011.pdf (362.92 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03203160 , version 1 (20-04-2021)

Identifiants

Citer

Julien Desclés, Motasem Alrahabi, Jean-Pierre Desclés. BioExcom: Detection and categorization of speculative sentences in biomedical literature. Human Language Technology. Challenges for Computer Science and Linguistics, 6562, 2011, Lecture Notes in Computer Science, ⟨10.1007/978-3-642-20095-3_44⟩. ⟨hal-03203160⟩
13 Consultations
24 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More