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)
Submission deadline (extended): March 14, 2024
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 to be held in Crete, Greece, in May 2024. The workshop will consist of two invited keynote and two shared tasks (FoRC: Field of Research Classification of Scholarly Publications, SOMD: Software Mention Detection in Scholarly Publications), 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 Research/Scientific Knowledge Graphs
- Question Answering over Research/Scientific Knowledge Graphs
- 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 07, 2024 – March 14, 2024 (deadline extended)
- Notification of acceptance: April 4, 2024
- Deadline for camera-ready papers: April 18, 2024
Submissions
The workshop invites anonymous submissions of regular long papers (up to 15 pages), position papers, and short papers (up to 8 pages) presenting negative results, in-progress projects, and demos. Papers can present negative results, in-progress projects, and demos. We especially encourage submissions from junior researchers and students from diverse backgrounds. Format of submissions: Springer LNCS style (full submission guidelines).
The workshop proceedings will be published in the Springer series Lecture Notes in Artificial Intelligence (LNAI) as an Open Access book. Note that all fees for the Open Access book publication will be covered by the project NFDI4DS, which financially supports this workshop.
Shared tasks
The workshop offers two 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
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Principal Researcher and Research Fellow, DFKI
Adjunct Professor, Humboldt-Universität zu Berlin |
DFKI GmbH, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 |
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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