A Supervised Approach for Detecting Allusive Bibliographical References in Scholarly Publications - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

A Supervised Approach for Detecting Allusive Bibliographical References in Scholarly Publications

Résumé

Exploiting the links between content is crucial in recommendation approaches. In the case of a scientific article library, bibliographic references serve as a major link source. Among them, some are explicit references as we can find at the end of articles or books, while other references are scattered in the text or in the footnotes, according to a more or less strong implicit degree. We propose to focus on the detection of this type of references that we call allusive, in scientific articles from the field of Human and Social Sciences. To overcome the inherent difficulties raised by such reference detection, we present a method which aims at (i) identifying paragraphs that contain references via a classification process and (ii) at applying CCRFs (Cascaded Conditional Random Field) in order to detect more accurately the bibli-ographic entries and consequently annotate their contents.
Fichier principal
Vignette du fichier
a36-ollagnier.pdf (258.33 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01794717 , version 1 (21-02-2019)

Identifiants

Citer

Anaïs Ollagnier, Sébastien Fournier, Patrice Bellot. A Supervised Approach for Detecting Allusive Bibliographical References in Scholarly Publications. the 6th International Conference, Jun 2016, Nîmes, France. pp.1-4, ⟨10.1145/2912845.2912883⟩. ⟨hal-01794717⟩
65 Consultations
102 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More