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https://ceur-ws.org/Vol-2414/preface.pdf
Preface: 4th Joint Workshop on BIRNDL at
SIGIR 2019
Muthu Kumar Chandrasekaran1 and Philipp Mayr2
1
SRI International, Menlo Park, CA, USA,
cmkumar087@gmail.com
2
GESIS – Leibniz-Institute for the Social Sciences, Cologne, Germany,
philipp.mayr@gesis.org
1 Introduction
The deluge of scholarly publication poses a challenge for scholars to find rele-
vant 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 or-
ganise 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 SI-
GIR Conference on Research and Development in Information Retrieval (SIGIR
2019).
Over the past several years and at premier conferences, BIRNDL [1–3], to-
gether with its parent workshops, has established itself as the primary interdis-
ciplinary venue for cross-pollination of NLP, IR and DL research.
2 Overview of the papers
This year, 11 full papers were submitted to the workshop, 5 of which were ac-
cepted as full papers for presentation and inclusion in the proceedings. 13 short
papers were submitted to the workshop, 4 of which were accepted as short papers
for presentation and inclusion in the proceedings. In addition, 5 poster papers
for poster presentation were also accepted.
The CL-SciSumm Shared Task had 17 registrations of which 9 teams submit-
ted their systems for evaluation. The results and analysis of the evaluation along
with the system summaries are presented in the overview paper titled: “Overview
and Results: CL-SciSumm Shared Task 2019” and included in the proceedings.
The system description papers are included in the proceedings.
The workshop featured two keynote talks, one invited talk and various full
and short paper sessions. The following section briefly lists the keynotes and
sessions.
3
http://wing.comp.nus.edu.sg/~birndl2019/
4
http://wing.comp.nus.edu.sg/~cl-scisumm2019/
2.1 Keynotes
– Alex D. Wade, Ivana Williams: Personalized Feed/Query-formulation, Pre-
dictive Impact, and Ranking.
– Bonnie Webber: Discourse Processing for Text Analysis: Recent successes,
current challenges.
2.2 Invited Paper
– Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David
Konopnicki: TalkSumm: A Dataset and Scalable Annotation Method for Sci-
entific Paper Summarization Based on Conference Talks [4].
This paper will appear in Proceedings of ACL 2019 and is not included in
this proceedings.
2.3 Research papers
Full papers
– Katarina Boland, Frank Krüger: Distant supervision for silver label genera-
tion of software mentions in social scientific publications
– Na Pang, Li Qian, Weimin Lyu, Jin-Dong Yang: Transfer Learning for Scien-
tific Data Chain Extraction in Small Chemical Corpus with joint BERT-CRF
Model
– Christin Katharina Kreutz, Premtim Sahitaj, Ralf Schenkel: Revaluating Se-
mantometrics 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 Readersourc-
ing: Validating Peer Review Alternatives Using Network Analysis
Short papers
– Jason Portenoy, Jevin D. West: Supervised Learning for Automated Litera-
ture Review
– Arlene J Casey, Bonnie Webber, Dorota Glowacka: Can Models of Author
Intention Support Quality Assessment of Content?
– Andres Carvallo, Denis Parra: Comparing Word Embeddings for Document
Screening based on Active Learning
– Philipp Scharpf, Moritz Schubotz, Howard S. Cohl, Bela Gipp: Towards For-
mula Concept Discovery and Recognition
Poster papers
– Barbara Plank, Reinard van Dalen: CiteTracked: A Longitudinal Dataset of
Peer Reviews and Citations
– Chifumi Nishioka, Michael Färber: Evaluating the Availability of Open Ci-
tation Data
– André Greiner-Petter, Terry Ruas, Moritz Schubotz, Akiko Aizawa, William
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 CL-SciSumm
– Chrysoula Zerva, Minh-Quoc Nghiem, Nhung Nguyen and Sophia Anani-
adou: NaCTeM-UoM @ CL-SciSumm-19
– Shutian Ma, Heng Zhang, Tianxiang Xu, Jin Xu, Shaohu Hu and Chengzhi
Zhang: IR&TM-NJUST @ CLSciSumm-19
– Lei Li, Yingqi Zhu, Wei Liu, Zuying Huang, Yang Xie, Yinan Liu and
Xingyuan Li: CIST@CLSciSumm-19: Automatic Scientific Paper Summa-
rization With Citances and Facets
– Yoann Pitarch, Karen Pinel-Sauvagnat, Gilles Hubert, Guillaume Cabanac
and Ophélie Fraisier-Vannier: IRIT-IRIS @ CL-SciSumm 2019: Matching
Citances with their Intended Reference Text Spans from the Scientic Litera-
ture
– Bakhtiyar Syed, Vijayasaradhi Indurthi, Balaji Vasan Srinivasan and Va-
sudeva Varma: Helium @ CL-SciSumm-19: Transfer learning for effective
scientific research comprehension
– Ahmed Ghassan Tawfiq Abura’Ed, Àlex Bravo, Luis Chiruzzo and Horacio
Saggion: LaSTUS/TALN+INCO @ CL-SciSumm 2019
– Moreno La Quatra, Luca Cagliero and Elena Baralis: Poli2Sum@CL-SciSumm
2019: identify, classify, and summarize cited text spans by means of ensem-
bles of supervised models
– Hyonil Kim and Shiyan Ou: NJU@CL-SciSumm-19: Ranking-based Identifi-
cation of Cited Text with Deep Learning
– Aris Fergadis, Dimitris Pappas and Haris Papageorgiou ATHENA@CL-SciSumm
2019: Siamese recurrent bi-directional neural network for identifying cited
text spans
3 Outlook and further reading
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.
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.
1. Special issue on “Mining Knowledge from Scientific Data” 5 in the journal
Expert Systems (Wiley). Guest editors are: Tanmoy Chakraborty, Sumit
Bhatia and Cornelia Caragea. Deadline: September 30, 2019
2. Special issue on “Bibliometrics and Information Retrieval” 6 in the journal
Scientometrics (Springer). Guest editors are: Guillaume Cabanac, Philipp
Mayr and Ingo Frommholz. Deadline: September 30, 2019
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 Infor-
mation 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].
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.
Acknowledgments
We would like to thank SRI International for their generous funding of CL-
SciSumm ’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 SciSumm-
Net 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 Re-
trieval - transferring concepts from document to dataset retrieval (ConDATA)”
project.
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.
References
1. Mayr, P., Chandrasekaran, M.K., Jaidka, K.: Report on the 3rd Joint Workshop on
Bibliometric-enhanced Information Retrieval and Natural Language Processing for
Digital Libraries (BIRNDL 2018). SIGIR Forum 52(2) (2018) 105–110
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 Infor-
mation 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