InTeReC: In-text Reference Corpus for Applying Natural Language Processing to Bibliometrics

Marc Bertin; Iana Atanassova

InTeReC: In-text Reference Corpus for Applying Natural Language Processing to Bibliometrics

Marc Bertin ¹ Iana Atanassova ²

1 ELICO - Equipe de recherche de Lyon en sciences de l'information et de la communication

2 CRIT - Centre de recherches interdisciplinaires et transculturelles - UFC (EA 3224)

Abstract : Bibliometrics is more and more interested in the full text processing and the study of the structure of scientific papers. The contexts of in-text references present in articles are particularly relevant for such studies. This work describes the construction of the InTeReC dataset, which is an in-text reference corpus that aims to promote experimental reproducibility and to provide a standard dataset for further research. The InTeReC dataset is a set of sentences containing in-text references together with all the data necessary for their recontextualization in papers using standard CSV format. This should encourage the implementation of natural language processing tools for Bibliometric studies and related research in information retrieval and visualization.

Document type :

Conference papers

Domain :

Computer Science [cs] / Computation and Language [cs.CL]

Computer Science [cs] / Document and Text Processing

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01742178
Contributor : Marc Bertin <>
Submitted on : Friday, March 23, 2018 - 11:40:13 PM
Last modification on : Friday, April 26, 2019 - 9:42:44 AM

InTeReC: In-text Reference Corpus for Applying Natural Language Processing to Bibliometrics

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InTeReC: In-text Reference Corpus for Applying Natural Language Processing to Bibliometrics

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