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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Preface: 4th Joint Workshop on BIRNDL at SIGIR 2019</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Muthu Kumar Chandrasekaran</string-name>
          <email>cmkumar087@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Philipp Mayr</string-name>
          <email>philipp.mayr@gesis.org</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>GESIS - Leibniz-Institute for the Social Sciences</institution>
          ,
          <addr-line>Cologne</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>SRI International</institution>
          ,
          <addr-line>Menlo Park, CA</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The deluge of scholarly publication poses a challenge for scholars to find relevant research and policy makers to seek in-depth information and understand research impact. Information retrieval (IR), natural language processing (NLP) and bibliometrics could enhance scholarly search, retrieval and user experience, but their use in digital libraries is not widespread. To address this gap, we organise the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)3 and the 5th CL-SciSumm Shared Task4 co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019). Over the past several years and at premier conferences, BIRNDL [1-3], together with its parent workshops, has established itself as the primary interdisciplinary venue for cross-pollination of NLP, IR and DL research.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <sec id="sec-1-1">
        <title>Keynotes 2.2</title>
      </sec>
      <sec id="sec-1-2">
        <title>Invited Paper</title>
        <p>– Alex D. Wade, Ivana Williams: Personalized Feed/Query-formulation,
Predictive Impact, and Ranking.
– Bonnie Webber: Discourse Processing for Text Analysis: Recent successes,
current challenges.
– Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David
Konopnicki: TalkSumm: A Dataset and Scalable Annotation Method for
Scientific Paper Summarization Based on Conference Talks [4].</p>
        <p>This paper will appear in Proceedings of ACL 2019 and is not included in
this proceedings.
2.3</p>
      </sec>
      <sec id="sec-1-3">
        <title>Research papers</title>
      </sec>
      <sec id="sec-1-4">
        <title>Full papers</title>
        <p>– Katarina Boland, Frank Krüger: Distant supervision for silver label
generation of software mentions in social scientific publications
– Na Pang, Li Qian, Weimin Lyu, Jin-Dong Yang: Transfer Learning for
Scientific Data Chain Extraction in Small Chemical Corpus with joint BERT-CRF
Model
– Christin Katharina Kreutz, Premtim Sahitaj, Ralf Schenkel: Revaluating
Semantometrics from Computer Science Publications
– Suzan Verberne, Ioannis Chios, Jian Wang: Extracting and matching patent
in-text references to scientific publications
– Michael Soprano, Kevin Roitero, Stefano Mizzaro: HITS Hits
Readersourcing: Validating Peer Review Alternatives Using Network Analysis</p>
      </sec>
      <sec id="sec-1-5">
        <title>Short papers</title>
        <p>– Jason Portenoy, Jevin D. West: Supervised Learning for Automated
Literature Review
– Arlene J Casey, Bonnie Webber, Dorota Glowacka: Can Models of Author</p>
        <p>Intention Support Quality Assessment of Content?
– Andres Carvallo, Denis Parra: Comparing Word Embeddings for Document</p>
        <p>Screening based on Active Learning
– Philipp Scharpf, Moritz Schubotz, Howard S. Cohl, Bela Gipp: Towards
Formula Concept Discovery and Recognition</p>
      </sec>
      <sec id="sec-1-6">
        <title>Poster papers</title>
        <p>– Barbara Plank, Reinard van Dalen: CiteTracked: A Longitudinal Dataset of</p>
        <p>Peer Reviews and Citations
– Chifumi Nishioka, Michael Färber: Evaluating the Availability of Open
Citation Data
– André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William</p>
        <p>Grosky, Bela Gipp: Why Machines Cannot Learn Mathematics, Yet
– Marc Bertin, Pierre Jonin, Frédéric Armetta, Iana Atanassova: Identifying
the conceptual space of citation contexts using coreferences
– Rajesh Piryani, Wolfgang Otto, Philipp Mayr, Vivek Kumar Singh: Analysing
author name mentions in citation contexts of highly cited publications
2.4</p>
      </sec>
      <sec id="sec-1-7">
        <title>CL-SciSumm</title>
      </sec>
    </sec>
    <sec id="sec-2">
      <title>Outlook and further reading</title>
      <p>We will continue to organize the BIRNDL and BIR workshops at high profile
IR, DL, Scientometric, NLP and CL venues. The combination of research paper
presentations, and a shared task like CL-SciSumm with system evaluation has
proven to be a successful and agile format. So we will continue with this format.</p>
      <p>In line with the BIRNDL 2019 workshop, we invite workshop authors and
others to submit extended paper to two independent open calls of special issues.</p>
      <p>Further reading: A special issue on “Bibliometrics, Information Retrieval
and Natural Language Processing in Digital Libraries” appeared in 2018 in the
International Journal on Digital Libraries, see an overview in [5]. This was a large
issue with 13 papers with papers from BIRNDL 2016 as well as new submissions.
So, we followed up with another special issue on “Bibliometric-enhanced
Information Retrieval and Scientometrics” appeared in Scientometrics journal with
extended papers from later editions BIR and BIRNDL and new submissions.
Please see an overview in [6].</p>
      <p>Since 2016 we maintain the “Bibliometric-enhanced-IR Bibliography” 7 that
collects scientific papers which appear in collaboration with the BIR/BIRNDL
organizers. We invite interested researchers to join this project and contribute
related publications.</p>
    </sec>
    <sec id="sec-3">
      <title>Acknowledgments</title>
      <p>We would like to thank SRI International for their generous funding of
CLSciSumm ’19 and BIRNDL ’19. CZI sponsored Alex Wade’s keynote while SRI
International sponsored Bonnie Webber. We immensely thank Prof. Dragomir
Radev and Michihiro Yasunaga from Yale University for sharing the
SciSummNet dataset for CL-SciSumm 2019 and co-organising this time. The work by
Philipp Mayr was partly funded by Deutsche Forschungsgemeinschaft (DFG)
under grant number MA 3964/10-1, the “Establishing Contextual Dataset
Retrieval - transferring concepts from document to dataset retrieval (ConDATA)”
project.</p>
      <p>We are also grateful to the co-organizers of the past BIRNDL workshops
Guillaume Cabanac, Ingo Frommholz, Kokil Jaidka and Dietmar Wolfram, for
their continued support and involvement.
5 http://lcs2.iiitd.edu.in/speIssue_Exsy.html
6 https://sites.google.com/view/scientometrics-si2019-bir
7 https://github.com/PhilippMayr/Bibliometric-enhanced-IR_Bibliography/
2. Mayr, P., Chandrasekaran, M.K., Jaidka, K.: Report on the Joint Workshop on
Bibliometric-enhanced Information Retrieval and Natural Language Processing for
Digital Libraries (BIRNDL 2017). SIGIR Forum 51(2) (2017) 107–113
3. Cabanac, G., Chandrasekaran, M.K., Frommholz, I., Jaidka, K., Kan, M.Y., Mayr,
P., Wolfram, D.: Report on the Joint Workshop on Bibliometric-enhanced
Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL
2016). SIGIR Forum 50(2) (2016) 36–43
4. Lev, G., Shmueli-Scheuer, M., Herzig, J., Jerbi, A., Konopnicki, D.: TalkSumm: A
Dataset and Scalable Annotation Method for Scientific Paper Summarization Based
on Conference Talks. In: arXiv:1906.01351
5. Mayr, P., Frommholz, I., Cabanac, G., Chandrasekaran, M.K., Jaidka, K., Kan,
M.Y., Wolfram, D.: Introduction to the Special Issue on Bibliometric-Enhanced
Information Retrieval and Natural Language Processing for Digital Libraries
(BIRNDL). International Journal on Digital Libraries 19(2-3) (2018) 107–111
6. Cabanac, G., Frommholz, I., Mayr, P.: Bibliometric-enhanced information retrieval:
preface. Scientometrics 116(2) (2018) 1225–1227</p>
    </sec>
  </body>
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