Skip to main navigation Skip to search Skip to main content

Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016)

  • Guillaume Cabanac
  • , Muthu Kumar Chandrasekaran
  • , Ingo Frommholz
  • , Kokil Jaidka
  • , Min-Yen Kan
  • , Philipp Mayr
  • , Dietmar Wolfram
  • Université Fédérale Toulouse Midi-Pyrénées
  • National University of Singapore
  • Adobe Systems Incorporated
  • Leibniz Institute for the Social Sciences
  • University of Wisconsin-Milwaukee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.
Original languageEnglish
Title of host publicationnan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages299-300
ISBN (Print)9781450342292
DOIs
Publication statusPublished - 5 Sept 2016
Event2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) - Newark
Duration: 19 Jun 201623 Jun 2016

Conference

Conference2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)
CityNewark
Period19/06/1623/06/16
Other2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL) (19/06/2016-23/06/2016, Newark)

Keywords

  • Bibliometrics
  • Digital Libraries
  • Natural language processing
  • text mining

Fingerprint

Dive into the research topics of 'Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016)'. Together they form a unique fingerprint.

Cite this