*** Second Workshop on Information Extraction from Scientific Publications
(WIESP) at IJCNLP-AACL 2023 ***
*** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ ***
*** Twitter: https://twitter.com/wiesp_nlp ***
Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second
Workshop on Information Extraction from Scientific Publications (WIESP)
will provide a platform to researchers to foster discussion and research on
information extraction, mining, generation, and knowledge discovery from
scientific publications using Natural Language Processing and Machine
Learning techniques. A lot of technological change happened in one year
(since the 1st WIESP), especially with Generative Artificial Intelligence
research. We are incorporating a few additional topics to stay abreast with
the latest developments and research in the community. The 2nd iteration of
WIESP would focus on the following topics (but not limited to):
Large Language Models (LLMs) for Science
Application of LLMs on information extraction, generation, mining and
knowledge discovery from scientific publications
Probing LLMs for scientific fact checking and misinformation
Scientific document parsing
Scientific named-entity recognition
Scientific article summarization
Question-answering on scientific articles
Citation context/span extraction
Structured information extraction from full-text, tables, figures,
bibliography
Novel datasets curated from scientific publications
Argument extraction and mining
Challenges in information extraction from scientific articles
Building knowledge graphs via mining scientific literature; querying
scientific knowledge graphs
Novel tools for IE on scientific literature and interaction with users
Mathematical information extraction
Scientific concepts, facts extraction
Visualizing scientific knowledge
Bibliometric and Altmetric studies via information extraction from
scientific articles and metadata
In addition to research paper presentations, WIESP will also feature
keynote talks, a panel discussion on “Large Language Models and Scientific
Literature Mining'', and shared tasks. We will update the details on our
website as and when they become available. We especially welcome
participation from academic and research institutions, government and
industry labs, publishers, and information service providers. Projects and
organizations using NLP/ML techniques in their text mining and enrichment
efforts are also welcome to participate. We strongly encourage the
participation
of students, researchers, and science practitioners from diverse
backgrounds, especially from underrepresented groups and communities, to be
a part of WIESP events, and pro-actively make the workshop a diverse and
inclusive one.
Call for Papers
We invite papers of the following categories:
Long papers must describe substantial, original, completed, and
unpublished work. Wherever appropriate, concrete evaluation and analysis
should be included. Papers must not exceed eight (8) pages of content, plus
unlimited pages of references. The final versions of long papers will be
given one additional page of content (up to 9 pages) so that reviewers'
comments can be taken into account.
Short papers must describe original and unpublished work. Please note
that a short paper is not a shortened long paper. Instead, short papers
should have a point that can be made in a few pages, such as a small,
focused contribution, a negative result, or an interesting application
nugget. Short papers must not exceed four (4) pages, plus unlimited pages
of references. The final versions of short papers will be given one
additional page of content (up to 5 pages) so that reviewers' comments can
be taken into account.
In addition to papers, WIESP will also host shared tasks. More details on
the WIESP shared tasks will be available on our website shortly. Also, we
will publish separate CfPs on the shared tasks. Shared task authors will be
invited to write their system descriptions and those will be subjected to
peer review.
Shared Task: Function of Citation in Astrophysics Literature (FOCAL)
The citation graph is an essential tool for helping researchers find
relevant literature. To further empower discovery, we aim to label the
edges of the graph with the function of the citation: e.g. is the cited
work necessary background knowledge, or is it used as a comparison, to the
citing work? To start this process, we propose a shared task of
automatically labelling citations with a function based on the textual
context of the citation. A sample dataset and more instructions can be
found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks
All accepted papers would be published in the WIESP proceedings as part of
IJCNLP-AACL 2023 and indexed in the ACL Anthology.
Important Dates
Paper Submission Deadline: *September 4, 2023 *
Notification of workshop paper/abstract acceptance: October 5, 2023
Camera-ready Submission Deadline: October 12, 2023
Workshop: November 1, 2023 (online)
All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")
Submission Website and Format
Submission Link: https://softconf.com/ijcnlp2023/WorkshopWIESP2023/
Submission will be via softconf. Submissions should follow the ACLPUB
formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html)
and template files (https://github.com/acl-org/acl-style-files/tree/master).
Submissions (Long and Short Papers) will be subject to a double-blind
peer-review process. We follow the same policies as IJCNLP-AACL 2023
regarding anonymity, preprints and double submissions.
Organizers
Tirthankar Ghosal, National Center for Computational Sciences| Oak Ridge
National Laboratory, USA
Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA
Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA
Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA
Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA
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Tirthankar Ghosal
https://member.acm.org/~tghosal
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