Dear colleagues,
You are invited to participate in the 5th Workshop on Scholarly Document Processing (SDP 2025) to be held at ACL 2025 in Vienna, Austria. SDP 2025 will consist of a research track and five shared tasks. The call for research papers is described below, and more details can be found on our website, https://sdproc.org/2025/ <https://sdproc.org/2025/>.
Papers must follow the ACL format and conform to the ACL 2025 Submission Guidelines. Paper submission has to be done through OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
Website: https://sdproc.org/2025/ <https://sdproc.org/2025/>
Submission site: <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>>
X (Twitter): https://twitter.com/sdpworkshop <https://twitter.com/sdpworkshop>
Shared tasks: https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html>
Paper submission deadline: March 1 (Saturday), 2025
Call for Research Papers
Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata and experimental data. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals.
This workshop builds on the success of prior workshops: SDP workshops held at EMNLP 2020, NAACL 2021, COLING 2022, and ACL 2024, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL.
Topics of Interest
We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to):
Large Language Models (LLMs) for science
Representation learning and language modeling
Information extraction and NER
Document understanding
Summarization and generation
Question-answering
Discourse modeling/argumentation mining
Network analysis
Bibliometrics, scientometrics, and altmetrics
Reproducibility and research integrity, including new challenges posed by generative AI
Peer review tools, principles and technology
Metadata and indexing
Inclusion of datasets and computational resources
Research infrastructures and digital libraries
Increasing the representation in scholarly work of disadvantaged populations
LLM-based interfaces to consume/produce scholarly documents
Impact of scholarly communication on popular discourse
Submission Information
Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/ <https://aclanthology.org/venues/sdp/>), which will be published in the ACL Anthology.
The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2025 formatting requirements:
Long paper submissions: up to 8 pages of content, plus unlimited references.
Short paper submissions: up to 4 pages of content, plus unlimited references.
Submission Website: Paper submission has to be done through openreview:
<https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>>
Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account.
Important Dates (Main Research Track)
First call for workshop papers: December 19, 2024
Second call for workshop papers: February 21, 2025
Paper submission deadline: March 1, 2025
Pre-reviewed (ARR) submission deadline: March 25, 2025
Notification of acceptance: April 17, 2025
Camera-ready paper due: May 16, 2025
Workshop dates: July 31 – August 1, 2025
Note: Shared task submission deadlines and other important dates to be announced.
SDP 2024 Keynote Speakers
We are excited to have several keynote speakers at SDP 2025.
Tom Hope <https://tomhoper.github.io/>, Assistant Professor at Hebrew University of Jerusalem and Research Scientist at Allen Institute for AI.
James A. Evans <https://sociology.uchicago.edu/directory/James-A-Evans>, Professor and Director of the Knowledge Lab at University of Chicago and External Professor at the Santa Fe Institute.
TBA
SDP 2025 Shared Tasks
SDP 2025 will host six exciting shared tasks. More information about all shared tasks is provided on the workshop website:https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html>
Detecting automatically generated scientific papers (DAGPap 25)
A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains.
Organizers: Savvas Chamezopoulos, Dan Li, Anita de Waard (Elsevier).
Contextualizing Scientific Figures and Tables (Context 25)
Interpreting scientific claims in the context of empirical findings is a valuable practice, yet extremely time-consuming for researchers. Such interpretation requires identifying key results (often captured in tables and figures) that provide supporting evidence from research papers, and contextualizing these results with associated methodological details (e.g., measures, sample, etc.). During the previous version of this shared task in 2024, we released datasets to support the development of methods for automatic identification of key result figures or tables as well as additional grounding context to make claim interpretation more efficient. However, the released datasets contained tables and images already extracted from the scientific papers to allow participants to bypass PDF pre-processing issues. In Context 2025, given recent advances in multimodal LLMs, we plan to extend the difficulty of this task by requiring participants to identify key results from paper PDFs directly, and add a new sub-task on multi-hop reasoning over scientific evidence.
Organizers: Joel Chan, Matthew Akamatsu, Aakanksha Naik
Scientific Visual Question Answering (SciVQA)
Scholarly articles convey valuable information not only through unstructured text but also via (semi-)structured figures such as charts and diagrams. Automatically interpreting the semantics of knowledge encoded in these figures can be beneficial for downstream tasks such as question answering (QA). In the SciVQA challenge, the participants will develop multimodal systems capable of efficiently processing both visual (i.e., addressing attributes such as colour, shape, size, etc.) and non-visual QA pairs based on images of scientific figures and their captions.
Organizers: Ekaterina Borisova, Georg Rehm
Scientific Fact-checking of Social Media Posts on Climate Change (ClimateCheck)
The ClimateCheck shared task focuses on fact-checking claims from social media about climate change against peer-reviewed scholarly articles. Participants will retrieve relevant publications from a corpus of 400,000 climate research articles and classify each abstract as supporting, refuting, or not having enough information about the claim. Training data will include human-annotated claim-publication pairs, and the evaluation will combine nDCG@K and Bpref for retrieval and F1 score for classification. The task aims to develop models that link social media claims to scientific evidence, promoting informed and evidence-based discussions on climate change.
Organizers: Raia Abu Ahmad, Georg Rehm
Software Mention Detection in Scholarly Publications (SOMD 25)
Software plays an essential role in computational research methods and is considered one of the crucial entities in scholarly documents. However, software mentions are not always cited in academic documents, resulting in various informal mentions of software across a paper. Automatic identification of such software mention contributes to the better understanding, accessibility, and reproducibility of the research work. In addition to the mention of software, to understand the research context, it is necessary to understand the purpose of a software mention and its attributes, making software mention detection a comprehensive task.
We are extending our first iteration of the shared task SOMD 2024 <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> with new challenges. In addition to information extraction techniques, our extended focus would be on Joint Named Entity and Relation Classification techniques.
Organizers: Sharmila Upadhyaya, Frank Krueger, Stefan Dietze
SciHal2025: Hallucination Detection for Scientific Content
Generative AI-enhanced academic research assistants are transforming how research is conducted. By allowing users to pose research-related questions in natural language, these systems can generate structured and concise summaries supported by relevant references. However, hallucinations — unsupported claims introduced by large language models — remain a significant obstacle to fully trusting these automatically generated scientific answers.
Organizing Committee
Tirthankar Ghosal, Oak Ridge National Laboratory, USA
Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany
Aakanksha Naik, Allen Institute for AI, USA
Amanpreet Singh, Allen Institute for AI, USA
Anita de Waard, Elsevier, Netherlands
Dayne Freitag, SRI International, USA
Georg Rehm, German Research Center for Artificial Intelligence (DFKI), Germany
Sonja Schimmler, Fraunhofer FOKUS, Germany
Dan Li, Elsevier, Netherlands
Dear colleagues,
You are invited to participate in the 5th Workshop on Scholarly Document
Processing (SDP 2025) to be held at ACL 2025 in Vienna, Austria. SDP 2025
will consist of a research track and five shared tasks. The call for
research papers is described below, and more details can be found on our
website, https://sdproc.org/2025/.
Papers must follow the *ACL format* and conform to the *ACL 2025 Submission
Guidelines*. Paper submission has to be done through OpenReview:
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc
- Website: https://sdproc.org/2025/
- Submission site: <
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
- X (Twitter): https://twitter.com/sdpworkshop
- Shared tasks: https://sdproc.org/2025/sharedtasks.html
- *Paper submission deadline: March 1 (Saturday), 2025*
Call for Research Papers
Scholarly literature is the chief means by which scientists and academics
document and communicate their results and is therefore critical to the
advancement of knowledge and improvement of human well-being. At the same
time, this literature poses challenges to NLP uncommon in other genres,
such as specialized language and high background knowledge requirements,
long documents and strong structural conventions, multimodal presentation,
citation relationships among documents, an emphasis on rational
argumentation, and the frequent availability of detailed metadata and
experimental data. These challenges necessitate the development of NLP
methods and resources optimized for this domain. The Scholarly Document
Processing (SDP) workshop provides a venue for discussing these challenges,
bringing together stakeholders from different communities including
computational linguistics, machine learning, text mining, information
retrieval, digital libraries, scientometrics and others, to develop
methods, tasks, and resources in support of these goals.
This workshop builds on the success of prior workshops: SDP workshops held
at EMNLP 2020, NAACL 2021, COLING 2022, and ACL 2024, and the 1st and 2nd
SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad
appeal within the NLP community, we hope the SDP workshop will attract
researchers from other relevant fields including meta-science,
scientometrics, data mining, information retrieval, and digital libraries,
bringing together these disparate communities within ACL.
Topics of Interest
We invite submissions from all communities demonstrating usage of and
challenges associated with natural language processing, information
retrieval, and data mining of scholarly and scientific documents. Relevant
topics include (but are not limited to):
- Large Language Models (LLMs) for science
- Representation learning and language modeling
- Information extraction and NER
- Document understanding
- Summarization and generation
- Question-answering
- Discourse modeling/argumentation mining
- Network analysis
- Bibliometrics, scientometrics, and altmetrics
- Reproducibility and research integrity, including new challenges posed
by generative AI
- Peer review tools, principles and technology
- Metadata and indexing
- Inclusion of datasets and computational resources
- Research infrastructures and digital libraries
- Increasing the representation in scholarly work of disadvantaged
populations
- LLM-based interfaces to consume/produce scholarly documents
- Impact of scholarly communication on popular discourse
Submission Information
Authors are invited to submit full and short papers with unpublished,
original work. Submissions will be subject to a double-blind peer-review
process. Accepted papers will be presented by the authors at the workshop
either as a talk or a poster. All accepted papers will be published in the
workshop proceedings (proceedings from previous years can be found here:
https://aclanthology.org/venues/sdp/), which will be published in the ACL
Anthology.
The submissions must be in PDF format and anonymized for review. All
submissions must be written in English and follow the ACL 2025 formatting
requirements:
*Long paper submissions:* up to 8 pages of content, plus unlimited
references.
*Short paper submissions:* up to 4 pages of content, plus unlimited
references.
*Submission Website:* Paper submission has to be done through openreview:
<https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
Final versions of accepted papers will be allowed 1 additional page of
content so that reviewer comments can be taken into account.
Important Dates (Main Research Track)
- First call for workshop papers: December 19, 2024
- Second call for workshop papers: February 21, 2025
- *Paper submission deadline: March 1, 2025*
- Pre-reviewed (ARR) submission deadline: March 25, 2025
- Notification of acceptance: April 17, 2025
- Camera-ready paper due: May 16, 2025
- Workshop dates: July 31 – August 1, 2025
Note: Shared task submission deadlines and other important dates to be
announced.
SDP 2024 Keynote Speakers
We are excited to have several keynote speakers at SDP 2025.
1. *Tom Hope* <https://tomhoper.github.io/>, Assistant Professor at
Hebrew University of Jerusalem and Research Scientist at Allen Institute
for AI.
2. *James A. Evans*
<https://sociology.uchicago.edu/directory/James-A-Evans>, Professor and
Director of the Knowledge Lab at University of Chicago and External
Professor at the Santa Fe Institute.
3. *TBA*
SDP 2025 Shared Tasks
SDP 2025 will host six exciting shared tasks. More information about all
shared tasks is provided on the workshop website:
https://sdproc.org/2025/sharedtasks.html
*Detecting automatically generated scientific papers (DAGPap 25)*
A big problem with the ubiquity of Generative AI is that it has now become
very easy to generate fake scientific papers. This can erode public trust
in science and attack the foundations of science: are we standing on the
shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP)
competition aims to encourage the development of robust, reliable
AI-generated scientific text detection systems, utilizing a diverse dataset
and varied machine learning models in a number of scientific domains.
Organizers: Savvas Chamezopoulos, Dan Li, Anita de Waard (Elsevier).
*Contextualizing Scientific Figures and Tables (Context 25)*
Interpreting scientific claims in the context of empirical findings is a
valuable practice, yet extremely time-consuming for researchers. Such
interpretation requires identifying key results (often captured in tables
and figures) that provide supporting evidence from research papers, and
contextualizing these results with associated methodological details (e.g.,
measures, sample, etc.). During the previous version of this shared task in
2024, we released datasets to support the development of methods for
automatic identification of key result figures or tables as well as
additional grounding context to make claim interpretation more efficient.
However, the released datasets contained tables and images already
extracted from the scientific papers to allow participants to bypass PDF
pre-processing issues. In Context 2025, given recent advances in multimodal
LLMs, we plan to extend the difficulty of this task by requiring
participants to identify key results from paper PDFs directly, and add a
new sub-task on multi-hop reasoning over scientific evidence.
Organizers: Joel Chan, Matthew Akamatsu, Aakanksha Naik
*Scientific Visual Question Answering (SciVQA)*
Scholarly articles convey valuable information not only through
unstructured text but also via (semi-)structured figures such as charts and
diagrams. Automatically interpreting the semantics of knowledge encoded in
these figures can be beneficial for downstream tasks such as question
answering (QA). In the SciVQA challenge, the participants will develop
multimodal systems capable of efficiently processing both visual (i.e.,
addressing attributes such as colour, shape, size, etc.) and non-visual QA
pairs based on images of scientific figures and their captions.
Organizers: Ekaterina Borisova, Georg Rehm
*Scientific Fact-checking of Social Media Posts on Climate Change
(ClimateCheck)*
The ClimateCheck shared task focuses on fact-checking claims from social
media about climate change against peer-reviewed scholarly articles.
Participants will retrieve relevant publications from a corpus of 400,000
climate research articles and classify each abstract as supporting,
refuting, or not having enough information about the claim. Training data
will include human-annotated claim-publication pairs, and the evaluation
will combine nDCG@K and Bpref for retrieval and F1 score for
classification. The task aims to develop models that link social media
claims to scientific evidence, promoting informed and evidence-based
discussions on climate change.
Organizers: Raia Abu Ahmad, Georg Rehm
*Software Mention Detection in Scholarly Publications (SOMD 25)*
Software plays an essential role in computational research methods and is
considered one of the crucial entities in scholarly documents. However,
software mentions are not always cited in academic documents, resulting in
various informal mentions of software across a paper. Automatic
identification of such software mention contributes to the better
understanding, accessibility, and reproducibility of the research work. In
addition to the mention of software, to understand the research context, it
is necessary to understand the purpose of a software mention and its
attributes, making software mention detection a comprehensive task.
We are extending our first iteration of the shared task SOMD 2024
<https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> with new
challenges. In addition to information extraction techniques, our extended
focus would be on Joint Named Entity and Relation Classification techniques.
Organizers: Sharmila Upadhyaya, Frank Krueger, Stefan Dietze
*SciHal2025: Hallucination Detection for Scientific Content*
Generative AI-enhanced academic research assistants are transforming how
research is conducted. By allowing users to pose research-related questions
in natural language, these systems can generate structured and concise
summaries supported by relevant references. However, hallucinations —
unsupported claims introduced by large language models — remain a
significant obstacle to fully trusting these automatically generated
scientific answers.
Organizing Committee
- Tirthankar Ghosal, Oak Ridge National Laboratory, USA
- Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences,
Germany
- Aakanksha Naik, Allen Institute for AI, USA
- Amanpreet Singh, Allen Institute for AI, USA
- Anita de Waard, Elsevier, Netherlands
- Dayne Freitag, SRI International, USA
- Georg Rehm, German Research Center for Artificial Intelligence (DFKI),
Germany
- Sonja Schimmler, Fraunhofer FOKUS, Germany
- Dan Li, Elsevier, Netherlands
To be held at ACL 2025, running jointly with FieldMatters (July 31 or
August 1 in Vienna, Austria)
Workshop description
The aim of the 7th edition of SIGTYP workshop is to act as a platform and a
forum for the exchange of information between typology-related research,
multilingual NLP, and other research areas that can lead to the development
of truly multilingual NLP methods. The workshop is specifically aimed at
raising awareness of linguistic typology and its potential in supporting
and widening the global reach of multilingual NLP, as well as at
introducing computational approaches to linguistic typology. It will foster
research and discussion on open problems, not only within the active
community working on cross- and multilingual NLP but also inviting input
from leading researchers in linguistic typology. Our workshop will serve as
a platform to enable fruitful discussions. In 2025, we would additionally
focus on the utility of LLMs for typological research.
SIGTYP is the first dedicated venue for typology-related research and its
integration in multilingual NLP. Appropriate topics include (but are not
limited to) the following as they relate to the areas of the workshop:
-
Integration of typological features in language transfer and joint
multilingual learning. In addition to established techniques such as
“selective sharing”, are there alternative ways to encoding heterogeneous
external knowledge in machine learning algorithms?
-
Development of unified taxonomy and resources. Building universal
databases and models to facilitate understanding and processing of diverse
languages.
-
Automatic inference of typological features. The pros and cons of
existing techniques (e.g. heuristics derived from morphosyntactic
annotation, propagation from features of other languages, supervised
Bayesian and neural models) and discussion on emerging ones.
-
Typology and interpretability. The use of typological knowledge for
interpretation of hidden representations of multilingual neural models,
multilingual data generation and selection, and typological annotation of
texts.
-
Improvement and completion of typological databases. Combining
linguistic knowledge and automatic data-driven methods towards the joint
goal of improving the knowledge on cross-linguistic variation and
universals.
-
Linguistic diversity and universals. Challenges of cross-lingual
annotation. Which linguistic phenomena or categories should be considered
universal? How should they be annotated?
-
Using LLMs for typological studies. Can LLMs be utilised to formulate or
prove typological hypotheses? Are they capable of making useful
cross-linguistic generalisations?
-
Extra topics also include: generation of constructed languages,
universals in diachronic languages changes, information-theoretic
approaches to typology, automated approaches to etymology.
Important Dates (all deadlines are 23:59 AoE)
Direct submission deadline: March 1, 2025
Pre-reviewed (ARR) submission deadline: March 25, 2025
Notification of acceptance: April 17, 2025
Camera-ready paper deadline: May 16, 2025
Workshop dates: July 31st or August 1st 2025
Submissions
We invite both extended abstract submissions (non-archival) and general
paper submissions (archival). The accepted submissions will be presented at
the workshop, providing new insights and ideas. Extended abstracts should
describe already published work or work in progress and should not exceed
two (2) pages. This way, we will not discourage researchers from preferring
main conference proceedings, at the same time ensuring that interesting and
thought-provoking research is presented at the workshop. For general
(archival) submissions we accept both long and short papers. Short papers
should not exceed four (4) pages, long papers should not exceed eight (8)
pages papers. Unlimited additional pages are allowed for the references
section in all submission types.
Submissions should be anonymous, without authors or an acknowledgement
section; self-citations should appear in third person.
Submissions must follow the ACL 2025 stylesheet
https://github.com/acl-org/acl-style-files; both long and short paper
submissions must follow the two-column format of ACL proceedings. All
submissions must be in PDF format.
These should be submitted via OpenReview:
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SIGTYP.
Organizing Committee
Michael Hahn, Priya Rani, Andreas Shcherbakov, Oleg Serikov, Aleksey
Sorokin, Ryan Cotterell and Kat Vylomova
Anti-harassment policy
The workshop follows the ACL anti-harassment policy:
https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy.
Contact
For any inquiries regarding the workshop, please send an email to the
Organizing Committee at sigtyp(a)gmail.com
Dear Researchers,
Are you exploring AI-driven solutions for Research Data Management (RDM)?
Join us at AIRDeM 2025 <https://ai4rdm.github.io/AIRDeM/>, a workshop at ESWC
2025 <https://2025.eswc-conferences.org/> (June 1-5, Portoroz, Slovenia),
to discuss AI applications enhancing RDM and FAIR principles for research
data.
Topics include but not limited to:
-
Automated Metadata Generation
-
FAIR Metrics & AI
-
Knowledge Graphs for RDM
-
AI for Data Summarization & Querying
-
Automated Data Cleaning & Harmonization
-
AI-Driven Data Interoperability
-
Explainable AI in RDM
-
Domain-Specific AI for RDM
-
Collaborative AI for RDM Challenges
-
Neuro-Symbolic AI for Data Management
We invite full papers, short papers, demos, and position papers, as well as
submissions for our collaborative "Bring Your Challenge" session—where
real-world RDM problems meet innovative AI solutions!
-
Submission Deadline: March 20, 2025
-
Submit your work here: [Submission page]
<https://app.oxfordabstracts.com/stages/77706/submissions/new?behalf=false&f…>
Let’s shape the future of RDM together!
Best,
Hajira & AIRDeM Organizing Team
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CLiC-it 2025 - Eleventh Italian Conference on Computational Linguistics
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
24 - 26 September 2025, Cagliari, Italy
https://clic2025.unica.it/
Conference Announcement and First Call for Papers
Over the years, CLiC-it has evolved into an important forum for the
Italian community of researchers in Computational Linguistics (CL) and
Natural Language Processing (NLP). CLiC-it aims to promote and
disseminate high-quality, original research covering different aspects
of automatic language processing, involving both written and spoken
language. Furthermore, it seeks to showcase cutting-edge theoretical
findings, experimental methodologies, technologies, and application
perspectives.
The spirit of the conference is inclusive. Recognizing the multifaceted
nature of language phenomena and the need for interdisciplinary
expertise, CLiC-it aims to bring together researchers from different
fields including Computational Linguistics and Natural Language
Processing, Linguistics, Cognitive Science, Machine Learning, Computer
Science, Knowledge Representation, Information Retrieval, and Digital
Humanities. CLiC-it welcomes contributions focusing on all languages,
with a particular emphasis on Italian.
CLiC-it 2025 will be held in Cagliari, from the 24th to the 26th of
September. CLiC-it is organised by the Italian Association of
Computational Linguistics (AILC -- http://www.ai-lc.it/).
Conference topics
-----------------------------
CLiC-it 2025 aims to have a broad technical program. Relevant topics for
the conference include, but are not limited to (in alphabetical order):
- Computational Historical Linguistics
- Computational Social Science and Cultural Analytics
- Dialogue and Interactive Systems
- Discourse and Pragmatics
- Ethics and NLP
- Generation
- Handwritten Text Recognition
- Information Extraction
- Information Retrieval and Text Mining
- Interpretability and Analysis of Models for NLP
- Language Grounding to Vision, Robotics and Beyond
- Large Language Models
- Linguistic Diversity
- Linguistic Theories, Cognitive Modeling, and Psycholinguistics
- Machine Learning for NLP
- Machine Translation
- Multilingualism and Cross-Lingual NLP
- NLP Applications
- NLP for the Humanities
- Phonology, Morphology, and Word Segmentation
- Pragmatics and Creativity
- Question Answering
- Resources and Evaluation
- Semantics: Lexical, Sentence-level Semantics, Textual Inference, and
Other Areas
- Sentiment Analysis, Stylistic Analysis, and Argument Mining
- Speech and Multimodality
- Summarization
- Syntax: Tagging, Chunking and Parsing
Research Communications
----------------------------------
CLiC-it 2025 adopts a parallel submission policy for outstanding papers
accepted in 2024 and 2025 by major publication venues, namely the major
international CL conferences (workshops excluded) or international
journals. These contributions can be submitted to CLiC-it 2025 as short
research communications. Research communications will not be published
in the conference proceedings, they serve primarily to promote the
dissemination of high-quality research within the Italian CL community.
Submitted research communications must be in the scope of the CLiC-it
2025 conference.
The authors of papers that meet the above criteria are invited to submit
a written (maximum) one-page abstract of the original paper, including
the paper’s title and authors as well as a pointer to the original
conference or journal where the paper was published.
If needed, research communications will undergo a selection process
overseen by the conference chairs. Since these papers have already been
reviewed, the selection criteria will primarily consider their original
publication venue. Priority will be granted to papers that align most
closely with the conference program, ensuring a balanced representation
across various conference topics. The research communication papers will
be presented at the conference either orally or as a poster according to
the number of submissions received.
Paper Submission
-----------------------
Submitted papers must describe substantial, original, completed, and
unpublished work. Wherever appropriate, concrete evaluation and analysis
should be included.
CLiC-it 2025 allows for a multiple-submission policy. In case of
acceptance of the paper in other venues, the authors must communicate
this information to the CLiC-it 2025 Chairs as soon as possible.
Papers may consist of at least six (6) and no more than eight (8) pages
of content, and up to three (3) pages of references. Supplementary
material is also allowed, but it should not exceed one (1) page in
length. Authors are reminded that all relevant content should be
included in the main text of the paper. Upon acceptance, final versions
of papers will be given one additional page of content, so that
reviewers’ comments can be taken into account.
Papers will be evaluated according to the following criteria:
- soundness of approach
- relevance to computational linguistics
- novelty and clarity of relation with related work
- quality of presentation
- quality of evaluation (if applicable)
- verifiability and ability to replicate (if applicable)
Papers can be either in English or Italian, with the abstract in
English. Accepted papers will be published online and will be presented
at the conference either orally or as a poster.
Reviewing will NOT be blind, so there is no need to remove author
information from manuscripts.
The required template for CLiC-it submissions must be compatible with
CEUR (https://ceur-ws.org/). You can download the conference-adapted
version at the following links:
LaTeX template
https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC-it-2025-template.…
Word template
https://clic2025.unica.it/wp-content/uploads/2025/02/CLiC_it_2025_template.…
Should you encounter any issues with the compilation (as the CEUR
template has historically presented some challenges and is not
modifiable without risking exclusion from the proceedings), we provide a
read-only Overleaf template:
https://www.overleaf.com/read/hzyckyjzwhwb#06b27c
This template can be accessed and cloned to help resolve any technical
difficulties.
Papers and research communications must be submitted through the START
platform using the following link: https://softconf.com/p/clic-it2025
For research communications, the appropriate track should be selected.
Awards
---------
To acknowledge the contribution of young researchers to the field, the
title of "best paper" will be awarded to outstanding papers, provided
that a Master's or PhD student is the first author and presents the work
at the conference. Recipients of this award will be invited to submit an
extended version of their papers to the Italian Journal of Computational
Linguistics (IJCoL). To recognise excellence in student research as well
as promote awareness of our field, AILC is also conferring the “Emanuele
Pianta” prize for the best Master Thesis (Laurea Magistrale) in
Computational Linguistics submitted at an Italian University. The prize
consists of 500 Euros plus free membership to AILC for one year and free
registration to the upcoming CLiC-it.
Important Dates
---------------
- 09/06/2025: Paper submission deadline: regular papers and research
communications
- 21/07/2025: Notification to authors of reviewing/selection outcome
- 04/08/2025: Camera ready version of accepted papers
- 24-26/09/2025: CLiC-it 2025 Conference, Cagliari
Conference Chairs
------
- Cristina Bosco (University of Torino)
- Elisabetta Jezek (University of Pavia)
- Marco Polignano (University of Bari)
- Manuela Sanguinetti (University of Cagliari)
Program Committee:
------
TBA
Local Organizing Committee:
------
- Maurizio Atzori (DMI, University of Cagliari)
- Andrea Loddo (DMI, University of Cagliari)
- Alessandro Pani (DMI, University of Cagliari)
- Alessandra Perniciano (DMI, University of Cagliari)
- Luca Zedda (DMI, University of Cagliari)
Web chairs:
------
- Maurizio Atzori
- Andrea Loddo
Further information
-------------------
Conference website: https://clic2025.unica.it/
Mail: clicit2025cagliari(a)gmail.com
3rd CALL FOR PAPERS
Third International Workshop on Gender-Inclusive Translation Technologies (GITT) at MT Summit 2025
23 June 2025, Geneva, Switzerland
https://sites.google.com/tilburguniversity.edu/gitt2025
@gitt-workshop.bsky.social
Important Dates (Time zone: Anywhere on Earth)
Submission deadline: 10 March, 2025
Notification of Acceptance: 4 April, 2025
Camera Ready Copy due: 11 April, 2025
Workshop: 23 June, 2025
**Aim and scope**
The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LMs applications for the translation task.
**Topics**
GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to:
- Models or methods for assessing and mitigating gender bias
- New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries)
- Social, cross-lingual, and ethical implications of gender bias
- Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines
- User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users
GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation)
**Submission**
We welcome four types of submissions, two archival and two non-archival.
ARCHIVAL
- Research papers: of at least 4 up to 10 pages (excluding references)
- Extended Abstracts: up to 2 pages (including references)
Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology.
NON-ARCHIVAL
- Research Communications: up to 2 pages (including references).
We include a parallel submission policy in the form of Research Communications for papers related to the topic of GITT that were accepted in other venues in 2024 and 2025.
- Potluck Communications: short abstract up to 500 words (including references).
Potluck Communications offer a space for anyone—especially students and early career researchers—to discuss bold new ideas for collaboration, brainstorm about ongoing work, and explore future research directions.
The communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop.
All submissions should adhere to the MT Summit 2025 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on Easychair (https://easychair.org/my/conference?conf=mtsummit2025)
**Workshop organizers**
Janiça Hackenbuchner, University of Ghent
Luisa Bentivogli, Fondazione Bruno Kessler
Joke Daems, University of Ghent
Chiara Manna, University of Tilburg
Beatrice Savoldi, Fondazione Bruno Kessler
Eva Vanmassenhove, University of Tilburg
The Data Science section at the IT University of Copenhagen has an open
position for a postdoc, on the topic of *scaling up qualitative interviews
with Large Language Models* (LLMs). The project is a collaboration
with the Center
for Social Data Science <https://sodas.ku.dk/> at the university of
Copenhagen. This is a NLP position, but some relevant background in
social sciences or psychology is a plus.
*Application deadline is March 17 2025*. Applications can be submitted via
ITU job portal:
Application link:
https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…
IT University of Copenhagen is the leading Danish university dedicated to
various aspects of IT technology, and Copenhagen is one of the happiest and
most livable cities in the world. The candidates will be part of NLPNorth
research group <https://nlpnorth.github.io/> (with 5 full-time faculty
working in various areas of NLP), as well as Pioneer Center for AI
<https://www.aicentre.dk/>. The postdoc will be hosted by Assoc. Prof. Anna
Rogers <https://annargrs.github.io/>, to whom inquiries about the project
can be directed (arog(a)itu.dk). The domain expert on this project is Hjalmar
Alexander Bang Carlsen (sociology, hc(a)sodas.ku.dk).
--
Anna Rogers
Associate Professor
IT University of Copenhagen
http://annargrs.github.io/
Dear colleagues,
The scientific journal Slovenščina 2.0 (diamond open-access; indexed in
Scopus, ERIH PLUS, COBISS.si, dLib.si, DOAJ, Sherpa Romeo, Linguistic
Bibliography, and CNKI) warmly invites you to submit abstracts for a
special issue dedicated to linguistic accessibility in legal and
administrative language. Contributions may address various aspects of
linguistic accessibility, including linguistic characteristics of legal and
administrative texts, user studies, specialized language resources,
technologies, and tools, as well as related social and ethical issues.
Empirical and interdisciplinary studies are particularly appreciated.
Abstracts (450–550 words) may be submitted in English and Slovenian and
should be sent by *March 31, 2025*, to senja.pollak(a)ijs.si and
spela.arharholdt(a)ff.uni-lj.si.
More information: https://journals.uni-lj.si/slovenscina2/announcement.
We look forward to your contributions!
Špela Arhar Holdt
CfP: Deadline Extension for Challenges Proposals at ISWC 2025 (March 4)
24th International Semantic Web Conference (ISWC 2025)
Nara, Japan
November 2-6, 2025
Follow us:
Twitter/X: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf )
LinkedIn: https://www.linkedin.com/company/iswc/
Mastodon Social: https://mastodon.social/@iswc_conf
Bsky: https://bsky.app/profile/iswc-conf.bsky.social
A great way to advance the state of the art in a given domain is to create
competition. We invite you to propose an ISWC 2025 Challenge, in which you
define an open competition on a problem of your choice within the Semantic
Web domain.
Topics:
For ISWC 2025, Challenge proposals are invited for any challenge involving
Semantic Web tasks, including but not limited to:
-
Ontology and knowledge graph alignment
-
Ontology and knowledge graph quality assurance (QA)
-
Knowledge graph construction and refinement
-
Graph embeddings and graph neural networks
-
Query and reasoning scalability
-
Open information extraction
-
Neurosymbolic reasoning
-
Semantic Web and data mining
-
Semantic Web, machine learning, and neuro-symbolic AI
-
Link prediction
-
Question answering
-
Stream processing and reasoning
-
Semantic table understanding
-
Agents (especially using neuro-symbolic methods) and agentic workflows
-
Retrieval Augmented Generation (RAG)
Proposal Stage:
ISWC 2025 will run multiple challenges with the aim of evaluating and
comparing software solutions for the Semantic Web and Knowledge Graphs in a
systematic way. To propose a challenge, you are required to:
-
Specify a task to be addressed.
-
Provide an evaluation dataset.
-
Define evaluation measures to compare the performance of participating
systems.
Important Date:
Challenge proposal submission due March 4th, 2025
Website: https://iswc2025.semanticweb.org/#/calls/challenges
Semantic Web Challenge Chairs:
Contact: iswc2025-challenge(a)easychair.org
Mayank Kejriwal
University of Southern California, United States
Pablo Mendes
Upwork, United States
Would you like to know about the host city, Nara? Check out this blog:
https://iswc2025.semanticweb.org/#/blogs/host
--
*Dr.-Ing. **Genet Asefa Gesese*
Head of Machine Learning Department (Abteilungsleitung Maschinelles Lernen)
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany
( *https://www.fiz-karlsruhe.de/en/bereiche/lebenslauf-und-publikationen-dr-ing-genet-asefa-gesese
<https://www.fiz-karlsruhe.de/en/bereiche/lebenslauf-und-publikationen-dr-in…>*
)
AND
Karlsruhe Institute of Technology (KIT)
*( https://ise.aifb.kit.edu/21_89.php
<https://ise.aifb.kit.edu/21_89.php> )*
The Natural Language Processing and Information Retrieval Group at the
University of Mannheim invites applications for a short-term position for
ONE RESEARCHER (all genders welcome) IN COMPUTATIONAL POLITICAL SCIENCE
/ DATA SCIENCE / COMPUTATIONAL LINGUISTICS / STATISTICAL NLP
The position is affiliated to the interdisciplinary research project
Uncovering ideological frames in political discourses (UNCOVER)
headed by Ines Rehbein [1] and Simone Ponzetto [2].
We are looking for a highly motivated candidate to conduct research in
the area of NLP for political science. The candidate should have a
strong interest and background in one or several of the following areas
* computational political science
* NLP / data science / text-as-data
* computational linguistics / semantic text processing
with a strong drive for interdisciplinary research and high proficiency
in German.
Candidates should have a Masters degree in Computational Linguistics,
Natural Language Processing, Computer Science, Data Science, Political
Science or related areas. The position will be located at the Data and
Web Science Group (DWS) of the University of Mannheim, one of leading
centers for Data Science in Germany (more information can be found at
http://dws.informatik.uni-mannheim.de).
Duration: The position will be available for 6 to 9 months and can be
arranged as a full or part-time position. Salary range: according to
German public scale TV-L 13.
Applications can be made per e-mail (rehbein(a)uni-mannheim.de) and should
include a short research statement, CV, copy of university degrees and
transcripts. All documents should be e-mailed as a single PDF. All
applications sent before March, 10, 2025 will receive full
consideration. The position remains open until filled.
Please feel free to contact Ines Rehbein (rehbein(a)uni-mannheim.de) for
informal enquiries.
The University of Mannheim is committed to increase the percentage of
female scientists and encourages female applicants to apply. Among
candidates of equal aptitude and qualifications, a person with
disabilities will be given preference.
Please note that threats to confidentiality and unauthorized access by
third parties cannot be ruled out when communicating by unencrypted
e-mail. The information on the collection of personal data from the data
subject pursuant to Article 13 DS-GVO can be found on our homepage:
https://www.uni-mannheim.de/universitaet/stellenanzeigen/datenschutz-bei-be….
[1]
https://www.uni-mannheim.de/dws/people/researchers/postdoctoral-research-fe…
[2]
https://www.uni-mannheim.de/dws/people/professors/prof-dr-simone-paolo-ponz…
--
Ines Rehbein
Data and Web Science Group
University of Mannheim, Germany