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

      Mayr, Philipp; Frommholz, Ingo; Cabanac, Guillaume; Chandrasekaran, Muthu Kumar; Jaidka, Kokil; Kan, Min-Yen; Wolfram, Dietmar; GESIS - Leibniz Institute for the Social Sciences; University of Bedfordshire; University of Toulouse; et al. (Springer Verlag (Germany), 2017-11-09)
      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.
    • Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016)

      Cabanac, Guillaume; Chandrasekaran, Muthu Kumar; Frommholz, Ingo; Jaidka, Kokil; Kan, Min-Yen; Mayr, Philipp; Wolfram, Dietmar; University of Toulouse; University of Bedfordshire; Adobe Systems Inc., India; et al. (Institute of Electrical and Electronics Engineers Inc., 2016-09-05)
      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.