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BIRNDL 2018 : Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries

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Link: http://wing.comp.nus.edu.sg/~birndl-sigir2018/
 
When Jul 12, 2018 - Jul 12, 2018
Where Ann Arbor, MI, USA
Submission Deadline May 4, 2018
Notification Due May 25, 2018
Final Version Due Jun 25, 2018
Categories    bibliometrics   information retrieval   natural language processing   summarisation
 

Call For Papers

=== Call for Papers ===

You are invited to participate in the 3rd Joint Workshop on Bibliometric-enhanced IR and NLP for Digital Libraries (BIRNDL), to be held as part of 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) in Ann Arbor, Michigan USA on 12th July 2018.

This is the third BIRNDL workshop, second 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 4th CL-SciSumm Shared Task in Scientific Document Summarization. Reports from the shared task systems will be featured as part of a session at the workshop.

(http://wing.comp.nus.edu.sg/cl-scisumm2018/)

=== Important Dates ===

- Submissions deadline: May 4, 2018
- Notification: May 25, 2018
- Camera Ready Contributions: June 25, 2018
- Workshop: July 12, 2018 in Ann Arbor Michigan, USA

=== Aim of the Workshop ===

The goal of the BIRNDL workshop at SIGIR is to engage the IR community about the open problems in academic search. Academic search refers to the large, cross-domain digital repositories which index research papers, such as the ACL Anthology, ArXiv, ACM Digital Library, IEEE database, Web of Science and Google Scholar. Currently, digital libraries collect and allow access to papers and their metadata --- including citations --- but mostly do not analyze the items they index. The scale of scholarly publications poses a challenge for scholars in their search for relevant literature. Finding relevant scholarly literature is the key theme of BIRNDL and sets the agenda for tools and approaches to be discussed and evaluated at the workshop. We would also like to address the need for established, standardized baselines, evaluation metrics and test collections.

We invite papers and presentations that incorporate insights from IR, bibliometrics and NLP to develop new techniques to address the 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.

See the proceedings of the second BIRNDL workshop at SIGIR 2017 (http://ceur-ws.org/Vol-1888/) and (http://ceur-ws.org/Vol-2002/) and a recent report in SIGIR Forum (http://sigir.org/wp-content/uploads/2018/01/p107.pdf).



=== Workshop Topics ===

We invite stimulating as well as unpublished submissions on topics including - but not limited to - full-text analysis, multimedia and multilingual analysis and alignment as well as the application of citation-based NLP or information retrieval and information seeking techniques in digital libraries. Specific examples of fields of interests include (but are not limited to):

- Infrastructure for scientific mining and IR
- Semantic and Network-based indexing, navigation, searching and browsing in structured data
- Information extraction and parsing tasks in scientific papers
- Population of a science knowledge base and performing inference on it
- Discourse structure identification and argument mining from scientific papers
- Summarisation and question-answering for scholarly DLs;
- Bibliometrics, citation analysis and network analysis for IR
- Task based user modelling, interaction, and personalisation
- Recommendation for scholarly papers, reviewers, citations and publication venues
- Measurement and evaluation of quality and impact
- Metadata and controlled vocabularies for resource description and discovery; Automatic metadata discovery, such as language identification
- Disambiguation issues in scholarly DLs using NLP or IR techniques; Data cleaning and data quality
- Evaluation baselines, metrics and test collections for research problems in IR

For the paper session, we especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome.

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

The CLSciSumm18 corpus 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 2018, we will hold the 4th Computational Linguistics (CL) Scientific Summarization Shared Task http://wing.comp.nus.edu.sg/~cl-scisumm2018/ which is sponsored by Microsoft Research Asia. This task follows up on the successful CLSciSumm-2017 @ SIGIR 2017, CLScisumm-2016 task @ JCDL 2016, Newark, NJ, USA and a Pilot Task conducted as a part of the BiomedSumm Track at the Text Analysis Conference 2014 (TAC 2014). In this task, a training corpus of ten topics from CL research papers was released. Participants were invited to enter their systems in a task-based evaluation.

=== Submission Information ===

- Research 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=birndl2018). 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.

- Shared Task: Teams that wish to participate in the CL Shared Task track at BIRNDL 2018 are invited to register on EasyChair by April 15th with a title and a tentative abstract describing their approach. 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.

=== Organising Committee ===
- Muthu Kumar Chandrasekaran, (http://wing.comp.nus.edu.sg/~cmkumar/)
- Kokil Jaidka, (http://kokiljaidka.wordpress.com/)
- Philipp Mayr, (https://philippmayr.github.io/)

Thanks!
Muthu, Kokil, Philipp

Muthu Kumar Chandrasekaran
Ph.D. Candidate | Web Information Retrieval / Natural Language Processing Group (WING)
School of Computing | National University of Singapore (NUS)
wing.comp.nus.edu.sg/~cmkumar

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