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Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)

  • Philipp Mayr
    ,
  • Ingo Frommholz
    ,
  • Guillaume Cabanac
    ,
  • Muthu Kumar Chandrasekaran
    ,
  • Kokil Jaidka
    ,
  • Min Yen Kan
  • Leibniz Institute for the Social Sciences
    ,
  • University of Toulouse
    ,
  • National University of Singapore
    ,
  • University of Pennsylvania
    ,
  • University of Wisconsin-Milwaukee
Research Output: Contribution to journal Editorial

Abstract

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and natural language processing techniques can assist to address this challenge, but have yet to be widely used in digital libraries (DL). This special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL) was compiled after the first joint BIRNDL workshop that was held at the joint conference on digital libraries (JCDL 2016) in Newark, New Jersey USA. It brought together IR and DL researchers and professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state of the art in scholarly document understanding, analysis, and retrieval at scale. This special issue includes 14 papers: four extended papers originating from the first BIRNDL workshop 2016 and the BIR workshop at ECIR 2016, four extended system reports of the CL-SciSumm Shared Task 2016 and six original research papers submitted via the open call for papers.

Publication Information

Output type

Research Output: Contribution to journal Editorial

Original language

English

Pages from-to (Number of pages)

Pages 107-111 (5 pages)

Journal (Volume, Issue Number)

International Journal on Digital Libraries (Volume 19, Issue 2-3)

Publication milestones

  • Published - 09/11/2017

Publication status

Published - 09/11/2017

ISSN

1432-5012

External Publication IDs

  • handle.net: 10547/624249
  • Scopus: 85033451053

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