Report on the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

Author:

Cabanac Guillaume1,Chandrasekaran Muthu Kumar2,Frommholz Ingo3,Jaidka Kokil4,Kan Min-Yen2,Mayr Philipp5,Wolfram Dietmar6

Affiliation:

1. University of Toulouse, IRIT UMR 5505, France

2. NUS School of Computing, Singapore

3. University of Bedfordshire, IRAC, Luton, UK

4. University of Pennsylvania, USA

5. GESIS -- Leibniz Institute for the Social Sciences, Germany

6. University of Wisconsin-Milwaukee, USA

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. The BIRNDL workshop was held at the Joint Conference on Digital Libraries (JCDL 2016) in Newark, NJ. It intended to stimulate IR researchers and digital library 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. The workshop incorporated three paper sessions and the 2nd edition of the CL-SciSumm Shared Task.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Management Information Systems

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