=== Call for Papers ===
You are invited to participate in the 4th Joint Workshop on Bibliometric-enhanced IR and NLP for Digital Libraries (BIRNDL), to be held as part of 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) in Paris, France on 25th July 2019.
(http://wing.comp.nus.edu.sg/~birndl2019/).

This is the 4th BIRNDL workshop, third at SIGIR, following a series of successful BIR workshops at ECIR and other premier IR venues. In conjunction with the BIRNDL workshop, we will also hold the 5th CL-SciSumm Shared Task in Scientific Document Summarization. (http://wing.comp.nus.edu.sg/~cl-scisumm2019).

BIRNDL is sponsored by SRI International and Chan-Zuckerberg Initiative.

=== Important Dates ===
- Submissions deadline: May 3, 2019
- Notification: May 31, 2019
- Camera Ready Contributions: July 7, 2019
- Workshop: July 25, 2019 in Paris, France

=== Aim of the Workshop ===
The goal of the BIRNDL workshop at SIGIR 2019 is to engage the IR community in the open problems in Big Science. Big Science refers to the large, cross-domain digital repositories which index research papers, such as the ACL Anthology, ArXiv, ACM Digital Library, PubMed, IEEE database, Web of Science and Google Scholar. Currently, digital libraries collect and allow access to digital papers and their metadata---inclusive of citations---but mostly do not analyze the items they index. The scale of growth in scholarly publishing poses a challenge for scholars in their search for relevant literature. Finding relevant scholarly literature is the key focus of the workshop and sets the agenda for methods and approaches to be discussed and evaluated at BIRNDL.

We invite papers that draw on insights from IR, bibliometrics and NLP to develop new methods to open problems in Big Science, such as evidence-based searching, measurement of research quality, relevance and impact, the emergence and decline of research problems, identification of scholarly relationships and influences and applied problems such as language translation, question-answering and summarization.

For your reference: Proceedings of the third BIRNDL workshop at SIGIR 2018 (http://ceur-ws.org/Vol-2132/)and a recent report in SIGIR Forum (http://sigir.org/wp-content/uploads/2019/01/p105.pdf).

=== Workshop Topics ===
By design, BIRNDL is an inclusive and diverse venue, in terms of both constituency and research. To promote a diverse constituency, we explicitly encourage female first authors. We invite stimulating research on topics including, but not limited to, full-text analysis, including multilingual analysis, IR methods for DL, and applications of citation-based NLP. Specific examples of fields of interest include

- Infrastructure for scientific mining and IR,
- Semantic and Network-based indexing, navigation, searching and browsing in structured data,
- Discourse structure identification and argument mining from scientific papers,
- Summarisation and question-answering for scholarly DLs,
- Bibliometrics, citation analysis and network analysis for IR,
- Recommendation for scholarly papers, reviewers, citations and publication venues,
- Measurement and evaluation of quality and impact,
- Information extraction and parsing tasks in scientific papers,
- Science knowledge base population (Sci-KBP) and inference,
- Automated discovery and maintenance of metadata and controlled vocabularies,
- Disambiguation issues in scholarly DLs.

Importantly, to address the scarcity of validated datasets in this area, we also invite papers describing new and pre-existing datasets. Submissions in this track will include instructions for accessing the data; metadata and documentation on its organization, content, and quality; and descriptions of possible use cases. We also invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes are welcome.

=== The CL-SciSumm Shared Task ===

CL-SciSumm19 is expected to be of interest to a broad community including those working in computational linguistics and natural language processing, text summarization, discourse structure in scholarly discourse, paraphrase, textual entailment and text simplification. The task constitutes automatic scientific paper summarization in the Computational Linguistics (CL) domain. The output summaries will be of two types: faceted summaries of the traditional self-summary (the abstract) and the community summary (the collection of citation sentences ‘citances’). We also propose to group the citances by the facets of the text that they refer to.

At SIGIR 2019, we will hold the 5th Computational Linguistics (CL) Scientific Summarization Shared Task http://wing.comp.nus.edu.sg/~cl-scisumm2019 which is sponsored by SRI International and Chan-Zuckerberg Initiative (CZI). This task follows up on the successful CL-SciSumm-2018 @ SIGIR 2018 and three previous editions. In this task, a training corpus of 40 manually annotated topics and 1000 auto-annotated from CL research papers are released. Participants are invited to enter their systems in a task-based evaluation on a blind test set.

=== Submission Information ===
- Main track: All submissions must be written in English, following the Springer LNCS author guidelines (max. 6 pages for short and 12 pages for full papers; exclusive of unlimited pages for references) and should be submitted as PDF files to EasyChair (https://easychair.org/conferences/?conf=birndl2019). All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings and from the program submissions and reviewing will be managed by the EasyChair conference management system.

- Poster track: We welcome submissions detailing original, early findings, works in progress and industrial applications of bibliometrics and IR for a special poster session, possibly with a 2-minute presentation in the main session. Some research track papers will also be invited to the poster track instead, although there will be no difference in the final proceedings between poster and research track submissions. These papers should follow the same format as the research track papers.

- The CL-SciSumm Shared Task: Teams that wish to participate in the CL Shared Task track at BIRNDL 2019 are invited to register on EasyChair with a title and a tentative abstract describing their approach at

(https://easychair.org/conferences/?conf=clscisumm2019). Participants are advised to register as soon as possible in order to receive timely access to evaluation resources, including development and testing data. Registration for the task does not commit you to participation - but is helpful to know for planning. All participants who submit system runs are welcome to present their system at the BIRNDL Workshop in the poster session, while the best performing system will be invited to present their paper in the main session. Dissemination of CL-SciSumm work and results other than in the workshop proceedings is welcomed, but the conditions of participation specifically preclude any advertising claims based on these results. Any questions about conference participation may be sent to the organizers mentioned below.

=== Main Organising Committee ===
- Muthu Kumar Chandrasekaran, SRI International, (https://www.linkedin.com/in/muthukumarc87/)
- Philipp Mayr, GESIS, (https://philippmayr.github.io/)
- Dayne Freitag, SRI International, (https://www.sri.com/about/people/dayne-freitag)
- Kokil Jaidka, Nanyang technological University, (http://kokiljaidka.wordpress.com/)
- Min-Yen Kan, National University of Singapore, (https://www.comp.nus.edu.sg/~kanmy/)

The main committee also has the support of the past organisers: Guillaume Cabanac, Ingo Fromholz, Dietmar Wolfram.

Thanks!
Muthu, Philipp, Dayne, Kokil, Min (Co-organiser, BIRNDL)