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A study of lexical distribution in citation contexts through the IMRaD standard

Authors :
Marc Bertin
Iana Atanassova
Centre interuniversitaire de recherche sur la science et la technologie (CIRST)
Université du Québec à Montréal = University of Québec in Montréal (UQAM)-Université de Montréal (UdeM)
CEUR Workshop Proceedings
Source :
Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval co-located with 36th European Conference on Information Retrieval (ECIR 2014), Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval co-located with 36th European Conference on Information Retrieval (ECIR 2014), Apr 2014, Amsterdam, Netherlands. pp.5-12, Scopus-Elsevier, HAL
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; n this paper we present a large-scale approach for the extraction of verbs in reference contexts. We analyze citation contexts in relation with the IMRaD structure of scientific articles and use rank correlation analysis to characterize the distances between the section types. The results show strong differences in the verb frequencies around citations between the sections in the IMRaD structure. This study is a ”one-more-step” towards the lexical and semantic analysis of citation contexts.

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval co-located with 36th European Conference on Information Retrieval (ECIR 2014), Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval co-located with 36th European Conference on Information Retrieval (ECIR 2014), Apr 2014, Amsterdam, Netherlands. pp.5-12, Scopus-Elsevier, HAL
Accession number :
edsair.dedup.wf.001..06324f0304f205e690cff1c6867c1d23