1st Workshop on Natural Scientific Language Processing and
Research Knowledge Graphs (NSLP 2024)

26 or 27 May 2024 (tbc)
Hersonissos, Crete, Greece
(co-located with ESWC 2024)

https://nfdi4ds.github.io/nslp2024/

Scientific research is almost exclusively published in unstructured text
formats, which are not readily machine-readable. While technological
approaches can help to get this flood of scientific information and new
knowledge under control, the development of such technologies is very
complex in practice and hinders the creation of infrastructures and systems
to track research and assist the scientific community with applications
such as dedicated scientific search engines and recommender systems. The
1st Workshop on Natural Scientific Language Processing and Research
Knowledge Graphs (NSLP) aims to bring together researchers working on the
processing, analysis, transformation and making-use-of scientific language
and RKGs including all relevant sub-topics. NSLP 2024 is a full-day
workshop co-located with ESWC 2024 <https://2024.eswc-conferences.org/> to
be held in Crete, Greece, in May 2024. The workshop will consist of two
keynote speakers and two shared tasks, as well as presentations and posters
of accepted papers.

Topics of interest include, but are not limited to


   - Research/Scientific Knowledge Graphs (RKGs/SKGs) and other forms of
   Structured Scientific Knowledge Representation
   - Information Extraction for RKGs/SKGs
   - Question Answering over RKGs/SKGs
   - Scientific LLMs: LLMs for Natural Scientific Language Processing
   - Natural Scientific Language Processing (monolingual, cross-lingual,
   multilingual)
   - Language Resources and Language Technologies for Natural Scientific
   Language Processing
   - Information Extraction from Scholarly Publications
   - Classification of Scholarly Publications (document collections,
   individual documents, parts of documents)
   - Summarisation of Scholarly Articles
   - Scholarly Information Retrieval and Scientific Search Engines
   - Digital Libraries of Scholarly Information
   - Metadata and Cataloging
   - Bibliometrics and Scientometrics
   - Domain-specific Adaptation of Natural Language Processing (NLP)
   methods for NSLP purposes
   - Micropublications and Nanopublications


Important dates


   - Deadline for submissions: March 7, 2024
   - Notification of acceptance: April 4, 2024
   - Deadline for camera-ready papers: April 18, 2024


Submissions

The NSLP workshop invites submissions of regular long papers (up to 15
pages, Springer LNCS style), position papers, and short papers (up to 8
pages, Springer LNCS style) presenting negative results, in-progress
projects, and demos. We especially encourage submissions from junior
researchers and students from diverse backgrounds.

We’ll attempt to publish the proceedings of the workshop in an Open Access
book volume.

Shared tasks

The workshop will offer two shared tasks:


   - FoRC: Field of Research Classification of Scholarly Publications
   - SOMD: Software Mention Detection in Scholarly Publications


The NSLP 2024 website <https://nfdi4ds.github.io/nslp2024/> provides more
information on the shared tasks.

Confirmed keynote speakers


   - Natalia Manola, OpenAIRE, Greece
   - Francesco Osborne, Open University, UK


Organisers


   - Georg Rehm, DFKI, Germany
   - Sonja Schimmler, TU Berlin & Fraunhofer FOKUS, Germany
   - Stefan Dietze, GESIS & HHU Düsseldorf, Germany
   - Frank Krüger, Wismar University, Germany


Contact


   - Georg Rehm <[email protected]>



-- 

[image: DFKI] <https://www.dfki.de/>

*Prof. Dr. Georg Rehm <http://georg-re.hm/>*
Principal Researcher and Research Fellow, DFKI
Adjunct Professor, Humboldt-Universität zu Berlin
DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
[email protected]
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan
Amtsgericht Kaiserslautern, HRB 2313
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