Extraction and Characterization of Citations in Scientific Papers

Marc Bertin (1) , Iana Atanassova (1)

1 CIRST - Centre Interuniversitaire de Rercherche sur la Science et la Technologie

We propose a hybrid method for the extraction and characterization of citations in scientific papers using machine learning combined with rule-based approaches. Our protocol consists of the extraction of metadata, bibliography parsing, section titles processing, and find-grained semantic annotation on the sentence level of texts. This allows us to generate Linked Open Data from a set of research papers in XML.

Mots clés: Semantic Annotation; Citation Acts; CRF; RDF graphs; Linked Open Data; Bibliography Parsing

Domaines: Linguistique; Sciences de l'information et de la communication; Informatique et langage [cs.CL]; Recherche d'information [cs.IR]; Traitement du texte et du document

Marc Bertin, Iana Atanassova. Extraction and Characterization of Citations in Scientific Papers. Presutti V. et al. Semantic Web Evaluation Challenge. SemWebEval 2014., 475, Springer, pp.120-126, 2014, Semantic Web Evaluation Challenge. SemWebEval 2014. Communications in Computer and Information Science, 978-3-319-12023-2. ⟨10.1007/978-3-319-12024-9_16⟩. ⟨hal-01941180⟩