IndiREAD Workshop 2025: 3rd Call for Papers
Saarbrücken, Germany, November 26-27, 2025
IndiREAD is a workshop jointly organized by the ERC Project
"Individualized Interaction in Discourse" IDDISC [1] and the MultiplEYE
COST [2] action "Enabling multilingual eye-tracking data collection for
human and machine language processing research".
While experimental research in reading has a long tradition in
identifying key factors that influence reading patterns--including text
properties such as font difficulty, word and structure frequency, word
predictability, and dependency length--recent studies have emphasized
the importance of individual variability in reading behaviour (e.g.,
Haeuser & Kray, 2024; Kuperman et al., 2018; Nicenboim et al., 2016;
Staub, 2021). This work has linked individual variability in reading
patterns to differences in working memory capacity, reading skills,
linguistic experience, and domain expertise among readers. This informs
our understanding of how text characteristics and individual reader
attributes interact to shape eye movements during reading.
IndiREAD aims to bring together researchers interested in investigating
individual differences in reading using both experimental and
computational approaches. This workshop will focus on methods such as
eye-tracking, self-paced reading, and the Maze task, with particular
interest in how reading behaviour is correlated with individual
differences. We also encourage submissions of computational models for
eye movements or reading behavior that shed light on the mechanisms
behind these differences. The goal is to foster collaboration between
experimental and computational researchers to better understand
individual variability among readers. We especially welcome submissions
of reading time experiments and modelling of languages beyond English.
The IndiREAD Workshop invites submissions of abstracts addressing the
following questions:
* How do individual differences impact the way people read?
* How do reading patterns vary across different languages,
particularly in bilinguals?
* How do reading patterns change across the lifespan?
* Which individual difference measures are most suitable for capturing
variability in reading patterns?
* How can we evaluate psycholinguistic theories of reading and
sentence processing across languages?
* How can computational models account for individual differences in
reading?
* How does text adaptation influence reading patterns and
comprehension among different individuals?
* What statistical methods are best suited for reliably identifying
latent groups and relating individual differences to reading
performance?
Workshop dates: November 26-27, 2025
Workshop format: The workshop will be held in-person in Saarbrücken,
Germany. It will feature presentations from invited speakers, as well as
contributions based on workshop submissions. The format of the
presentations (oral or poster) will be determined based on the number of
submissions we receive.
Submission deadline: July 23, 2025.
Submissions: The abstracts must not exceed 1000 words for the text
(excl. captions), 10000 characters for references, and a maximum of 2
tables or figures. Abstracts should be submitted in PDF format, with
2.54 cm margins on all sides and 12 point font size, single-spaced.
Please indicate up to three appropriate keywords for your abstract,
which will be used for session planning.
Abstracts must be written in English and should include a clear title
but no information revealing the author(s).
We welcome submissions for work that is being considered by other
conferences, workshops, or journals. Templates for formatting in LaTeX
and Word are provided on the conference website.
Submission platform: https://openreview.net/group?id=IndiREAD/2025
Volunteer reviewers: We also invite all interested parties with relevant
research experience to volunteer to help review abstracts for the
workshop. All reviewers should hold a PhD. Please indicate your interest
using the following form: https://forms.office.com/e/0fGmHW7q11
Conference website: https://www.uni-saarland.de/indiread [3]
Contact email: indiread(a)lst.uni-saarland.de
Travel grants: This workshop is sponsored by the MultiplEYE COST Action,
which will provide financial support to cover travel expenses for a
limited number of participants. Authors will be invited to apply for
travel funding upon abstract acceptance. Funding may be partial, and
priority will be given to junior researchers.
Best,
Iza Škrjanec
IndiREAD Organizing Committee
Links:
------
[1]
https://www.uni-saarland.de/lehrstuhl/demberg/individualized-interaction-in…
[2] https://multipleye.eu/
[3] https://www.uni-saarland.de/indiread
[Apologies for cross-posting]
A postdoc-level position as Research Fellow in Natural Language Processing (NLP) is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The position is for 30 months (2.5 years) and part of a research project focusing on generative approaches to event extraction in the socio-political domain.
For more information about the position and the research group, please see the full announcement here:
https://www.jobbnorge.no/en/available-jobs/job/283057/researcher-in-natural…
The closing date is August 11th, 2025.
Best regards,
-erik
--
Erik Velldal
Language Technology Group
Section for Machine Learning
Department of Informatics, University of Oslo
KlarText Workshop on German Text Simplification & Readability Assessment
Co-located with KONVENS 2025 | Hildesheim, Germany | 10 September 2025
Website: https://klar-text.github.io/
============================================================
The submission deadline for the KlarText workshop has been extended to July 4th.
The workshop brings together researchers, practitioners, and industry experts to explore cutting-edge methods in German text simplification and readability assessment. We aim to raise awareness of the diverse simplification goals and language forms in German and to attract researchers tackling the unique challenges in this field.
Topics of interest include (but are not limited to):
- German Text Simplification
- Readability Assessment
- Resources & Approaches for Leichte Sprache
- The Role of Large Language Models (LLMs)
- Resources & Benchmarks
- Evaluation & Human-Centered Assessment
- Applications & Real-World Impact
- Cross-Linguistic & Multilingual Perspectives
Important Dates
- Submission deadline (extended): July 04, 2025
- Notification of acceptance: August 1, 2025
- Camera-ready version due: August 15, 2025
- Workshop date: September 10, 2025
Submissions are managed via OpenReview (https://openreview.net/group?id=GSCL.org/KONVENS/2025/Workshop/KlarText).
Organizing Committee
- Salar Mohtaj, DFKI
- Stefan Hillmann, Technische Universität Berlin
- Sebastian Möller, Technische Universität Berlin
- Georg Groh, Technische Universität München
- Hadi Asghari, Technische Universität Berlin
- Miriam Anschütz, Technische Universität München
Contact
For questions or inquiries, please contact:
Salar Mohtaj – salar.mohtaj(a)dfki.de
*** Last Mile for Paper Submission ***
The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)
November 13-14, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/ickg2025/
(*** Proceedings to be published by IEEE ***)
(*** Submission Deadline: July 4, 2025 AoE (firm!) ***)
The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier
international forum for presentation of original research results in knowledge discovery and
graph learning, discussion of opportunities and challenges, as well as exchange and
dissemination of innovative, practical development experiences. The conference covers all
aspects of knowledge discovery from data, with a strong focus on graph learning and
knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw
researchers and application developers from a wide range of areas such as knowledge
engineering, representation learning, big data analytics, statistics, machine learning, pattern
recognition, data mining, knowledge visualization, high performance computing, and World
Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to
address challenges in handling all aspects of learning from data with dependency relationship.
All accepted papers will be published in the conference proceedings by the IEEE Computer
Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student
Paper Runner up, will be conferred at the conference, with a check and a certificate for each
award. The conference also features a survey track to accept survey papers reviewing recent
studies in all aspects of knowledge discovery and graph learning. At least five high quality
papers will be invited for a special issue of the Knowledge and Information Systems Journal,
in an expanded and revised form. In addition, at least eight quality papers will be invited for a
special issue of Data Intelligence Journal in an expanded and revised form with at least 30%
difference.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data
• Machine learning, data mining, and statistical methods for data science and engineering
• Acquisition, representation and evolution of fragmented knowledge
• Fragmented knowledge modeling and online learning
• Knowledge graphs and knowledge maps
• Graph learning security, privacy, fairness, and trust
• Interpretation, rule, and relationship discovery in graph learning
• Geospatial and temporal knowledge discovery and graph learning
• Ontologies and reasoning
• Topology and fusion on fragmented knowledge
• Visualization, personalization, and recommendation of Knowledge Graph navigation and
interaction
• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy
• Applications and services of knowledge discovery and graph learning in all domains
including web, medicine, education, healthcare, and business
• Big knowledge systems and applications
• Crowdsourcing, deep learning and edge computing for graph mining
• Large language models and applications
• Open source platforms and systems supporting knowledge and graph learning
• Datasets and benchmarks for graphs
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
SURVEY TRACK
Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.
In addition to the above topics, authors can also select and target the following Special Track
topics.
Each special track is handled by respective special track chairs, and the papers are also
included in the conference proceedings.
• Special Track 01: KGC and Knowledge Graph Building
• Special Track 02: KR and KG Reasoning
• Special Track 03: KG and Large Language Modela
• Special Track 04: GNN and Graph Learning
• Special Track 05: QA and Graph Database
• Special Track 06: KG and Multi-modal Learning
• Special Track 07: KG and Knowledge Fusion
• Special Track 08: Industry and Applications
SUBMISSION GUIDELINES
Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including
the bibliography and any possible appendices. Submissions longer than 8 pages will be
rejected without review. All submissions will be reviewed by the Program Committee based on
technical quality, originality, significance, and clarity. For survey track paper, please preface the
descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper
entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A
Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly
bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be
removed from the camera-ready copy.
For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is
the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph
Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should
be changed as “SS01: Incremental Knowledge Graph Learning”.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit.
The reviewing process is single blind, meaning that each submission should list all authors and
affiliations. There is no separate abstract submission step. There are no separate industrial,
application, or poster tracks. Manuscripts must be submitted electronically in the online
submission system. No email submission is accepted. To help ensure correct formatting, please
use the style files for U.S. Letter as template for your submission. These include LaTeX and
Word.
SUBMISSION LINK
https://wi-lab.com/cyberchair/2025/ickg25/
IMPORTANT DATES
• Paper submission (abstract and full paper): July 4, 2025 (AoE) (firm!)
• Notification of acceptance/rejection: September 5, 2025
• Camera-ready, copyright forms and author registration: September 20, 2025
• Early (non-author) registration: October 10, 2025
• Conference dates: November 13-14, 2025
ORGANISATION
Conference and Local Organising Chair
• George A. Papadopoulos, University of Cyprus
Conference Co-Chair
• Dan Guo, Hefei University of Technology
Program Chairs
• Cesare Alippi, Università della Svizzera italiana
• Shirui Pan, Griffith University
Local Organising Vice Chair
• Irene Kinlanioti, National Technical University of Athens
Finance Chair
• Constantinos Pattichis, University of Cyprus
Steering Committee Chair
• Xindong Wu, Hefei University Of Technology
Call for Papers: Historical Languages and AI
See the online version at https://daidalos-projekt.de/conference/cfp/ .
March 5-6, 2026
The intersection of historical languages and artificial intelligence
(AI) presents a rich and dynamic field of study, with the potential to
revolutionize our understanding of the past and the ways in which we
engage with historical texts. As digital technologies continue to
advance, the need for interdisciplinary collaboration becomes
increasingly apparent. The upcoming 2-day international conference on
“Historical Languages and AI” aims to foster this collaboration by
bringing together experts from computational literary studies, digital
history, linguistics, and other domains that work with historical
languages such as Latin.
The conference seeks to address the growing demand for innovative
methods and tools that can enhance the analysis, preservation, and
interpretation of historical languages. By leveraging AI technologies,
researchers can unlock new insights into historical texts, improve the
accuracy of translations, and develop more effective teaching methods
for historical languages. The conference will provide a platform for
scholars to share their latest findings, discuss emerging trends, and
explore the practical applications of AI in historical language
research. It explicitly includes historical stages of modern languages,
such as Old English or Early New High German.
The conference is hosted by the Daidalos research project (Humboldt
University Berlin, 2023-2026; https://daidalos-projekt.de ). The project
is building a research infrastructure for methods of natural language
processing (NLP). The target group is literary scholars in classical
philology and related disciplines. The research infrastructure consists,
on the one hand, of an interactive website on which interested parties
can apply NLP methods to text corpora. On the other hand, the Daidalos
project sees itself as a contact point for interested researchers. In
this function, the project regularly invites researchers to workshops
(https://daidalos-projekt.de/workshops), advises them within the
framework of research tandems (https://daidalos-projekt.de/tandems), and
provides materials for further training
(https://daidalos-projekt.de/jupyterlite).
Conference Dates: March 5-6, 2026
Venue: Humboldt-Universitaet zu Berlin (Berlin, Germany)
Unfortunately, we cannot offer travel bursaries. Attending the
conference itself is free of charge.
Topics of Interest
We welcome submissions on a wide range of topics related to historical
languages and AI, including but not limited to:
Machine Learning
Large Language Models / Large Action Models
Usage for data modeling or corpus construction
Challenges in low-resource scenarios
Neural machine translation for historical texts
Innovative approaches to historical language analysis
Linguistic analysis for literary studies
Part-of-speech tagging
Topic modeling
Sentiment analysis
Named entity recognition
Word embeddings
Multilingual Information Retrieval, incl. cross-lingual embeddings
Evaluation of AI-driven methods and datasets
Frameworks for mapping research questions to relevant AI models
and methods
Assessment of AI tools in historical language studies
Technical Infrastructure for Research & Teaching
Integrating technologies like Jupyter Notebooks into larger
software platforms
Retrieval-augmented generation for domain-specific chatbots
Teaching & Learning Digital Literacies, incl. open educational
resources for teaching natural language processing
Important Dates
Submission Deadline: September 1, 2025
Notification of Acceptance: October 15, 2025
Camera-Ready Submission: January 31, 2026
Conference Dates: March 5-6, 2026
Submission types
Included in the open-access proceedings:
*Long papers*: up to 4000 words (ca. 8 pages, excl. bibliography and
appendix). Long papers report on original and unpublished results. Long
papers are presented as oral presentations (30 min talk + 15 min
discussion). We welcome the use of appendices or other supplementary
information.
Published only in the book of abstracts in our Zenodo Community:
*Short papers*: up to 2000 words (ca. 4 pages, excl. bibliography and
appendix). Short papers report on focused contributions, and may present
work in progress. Short papers are presented as short oral presentations
(20 min talk + 10 min discussion). We welcome the use of appendices or
other supplementary information.
*Pitch Your Research Idea*: Submit an abstract of up to 200 words (excl.
bibliography and appendix) to give a 5-minute presentation during a
pitch session. The presentations are followed by a Scientific Speed
Dating Session and enable researchers to get in touch faster.Long papers
Workshops (90 min):
Submit a proposal for your intended workshop of up to 750 words.
Workshops should be organized as hands-on research or learning
opportunity. The workshops will take place on the second day of the
conference (March 6, 2026). Workshop proposals should describe:
the aims and setup of the workshop,
the academic background for the work,
an outline of the workshop, including the types of activities,
the expected key outcomes,
a short bio of each organizer or presenter, including their
name, affiliation, email address,
a plan for promoting the workshop to attract participants,
specific requirements, including but not limited to special
equipment (e.g., audio/video), software, physical space arrangements,
any technical knowledge, skills, or experience participants
should have before attending the workshop.
Submission Guidelines and Participation
All submissions must be in English or German.
Papers should be formatted according to the conference template:
Template of the Association for Computational Linguistics
(https://github.com/acl-org/acl-style-files). It supports both Microsoft
Word and LaTeX.
Submissions will be peer-reviewed by the organizers.
Papers should be submitted as PDF documents via E-Mail:
daidalos-projekt(a)hu-berlin.de
At least one author of each accepted submission must register to
the conference and present the paper.
Proceedings of the conference will be published as a Propylaeum
eBook in the Digital Classics Books series (for long papers;
https://books.ub.uni-heidelberg.de/propylaeum/catalog/series/dcb) and on
Zenodo (for all other submissions; https://zenodo.org/communities/daidalos).
Contact Information
For any inquiries, please contact the conference organizers at
daidalos-projekt(a)hu-berlin.de .
We look forward to receiving your submissions and welcoming you to the
International Conference on Historical Languages and AI!
The Conference *Organizing Committee* of the Daidalos project: Andrea
Beyer, Konstantin Schulz, Anke Lüdeling, Florian Kotschka, Florian
Deichsler, Malte Dreyer
Apologies for Cross Posting
The Chen Institute Symposium for AI Accelerated Science is an annual event
dedicated to exploring groundbreaking advancements in AI that are reshaping
scientific discovery across disciplines. Each year, leading researchers,
industry innovators, and influential thought leaders gather to discuss how
cutting-edge AI methodologies—such as foundational models, long-term memory
mechanisms, synthetic data generation, and research process automation—are
revolutionizing the scientific landscape.
We invite submissions that explore how core advancements in artificial
intelligence are accelerating progress in science. This call focuses on
transformative AI innovations that enable new modes of inquiry, hypothesis
generation, and experimentation across scientific disciplines.
We especially welcome work in the following areas:
Foundational Models: Research on large-scale, pre-trained models that serve
as general-purpose engines for scientific reasoning, prediction, and
simulation
Long-Term Memory Mechanisms: Innovations in memory architectures that
enable persistent knowledge representation, context retention, and lifelong
learning in AI systems
Synthetic Data Generation: Novel techniques for creating high-fidelity
synthetic datasets that augment or replace empirical data in research
pipelines
Research Process Automation: AI tools and frameworks that automate
experimental design, data analysis, literature synthesis, or other
components of the scientific workflow
We encourage submissions from researchers working at the intersection of AI
and the physical or life sciences, including but not limited to biology,
chemistry, physics, medicine, and engineering. Selected papers will be
presented at the conference, where authors will join a dynamic community
shaping the future of AI-accelerated science.
See more at https://aias2025.org/
CFP details and submissions: https://aias2025.org/call-for-papers/
Organizing Committee:
- Jennifer Chayes, Deanof the College of Computing, Data Science, and
Society at UC Berkeley
- Yan Li, Executive Director of Scientific Programs, Chen
InstitutePietro Perona
- Allan E. Puckett Professor of Electrical Engineering and Computation
and Neural Systems, Caltech
- Mengdi Wang, Associate Professor of Electrical and Computer
Engineering and the Center for Statistics and Machine Learning, Princeton
- Parisa Kordjamshidi, Associate Professor of Computer Science and
Engineering, Michigan State University
- Hamid Karimian, Research Assistant Professor of Computer Science and
Engineering, Michigan State University
See more at https://aias2025.org/
CFP details and submissions: https://aias2025.org/call-for-papers/
ᐧ
Final Call for Papers
1st International Workshop on Language and Language Models (WoLaLa)
Budapest, Hungary | November 20-21
The Hungarian Research Centre for Linguistics (HUN-REN) and the Programme Committee are pleased to issue the Second Call for Papers for the 1st International Workshop on Language and Language Models. As the submission deadline approaches, we encourage researchers and practitioners in the social sciences and humanities to contribute extended abstracts and take advantage of the opportunity to hear from our distinguished keynote speakers.
Keynote speakers:
Erhard Hinrichs, University of Tubingen, Germany
Alessandro Lenci, University of Pisa, Italy
Contributions should address one or more of the following areas (but submissions on other closely related topics are also welcome):
General language models: Critical and comparative analyses of state-of-the-art language models, including their linguistic competence, performance, and limitations.
Cultural and linguistic perspectives: Investigations into the cultural, cognitive, and scientific aspects of language processing, including the unexplored territories of model behavior and linguistic capability.
Applications and best practices: Case studies and best practices in applying AI to language research, highlighting the potential for cross-disciplinary innovation within SSH.
Bridging disciplines: Contributions that examine the role of language models in reshaping traditional SSH methodologies, and proposals on integrating AI insights into linguistic inquiry.
IMPORTANT DATES
30 June 2025 06 July 2025: Submission deadline (extended)
15 September 2025: Notification of acceptance
20 November – 21 November 2025: Workshop in Budapest
15 January 2026: Full paper submission deadline
Submissions
We expect submissions in the form of extended abstracts (length: 3 to 4 pages including references) in PDF format, in accordance with the template (https://www.overleaf.com/read/sbmczvkpxpzz#4a94e3). Please ensure your submission clearly outlines your research question, methodology, and preliminary findings.
Extended abstracts must be submitted through the EasyChair submission system <https://easychair.org/conferences?conf=wolala2025> and will be reviewed by the Programme Committee.
Publication
Selected papers will be published in Acta Linguistica Academica <https://akjournals.com/view/journals/2062/2062-overview.xml>. After acceptance notifications, the author(s) of accepted submissions will be invited to submit full papers (10-12 pages) to be reviewed according to the same criteria as the abstracts.
Programme Committee
The Programme Committee for the conference consists of the following members:
Gábor Prószéky, HUN-REN Hungarian Research Centre for Linguistics & Pázmány Péter Catholic University (chair)
António Branco, University of Lisbon, Portugal
Eva Hajičová, Charles University Prague, Czech Republic
Erhard Hinrichs, University of Tubingen, Germany
András Kornai, HUN-REN Institute for Computer Science and Control, Hungary
Csaba Pléh, Central European University, Austria
Paul Rayson, Lancaster University, United Kingdom
Frédérique Segond, National Institute for Research in Digital Science and Technology, France
Frieda Steurs, Dutch Language Institute, Belgium
Marko Tadić, University of Zagreb, Croatia
Dan Tufiș, Romanian Academy, Romania
Hans Uszkoreit, German Research Center for Artificial Intelligence, Germany
Tamás Váradi, HUN-REN Hungarian Research Centre for Linguistics, Hungary
Martin Wynne, University of Oxford, United Kingdom
Venue & registration
The workshop will take place at the HUN-REN Hungarian Research Centre in Budapest, Hungary, on 20–21 November 2025. Details on registration fees, travel grants, and accommodation options will be posted on the workshop website: https://wolala.nytud.hu <https://wolala.nytud.hu/>. Early registration will open in September 2025.
LINKS
1st International Workshop on Language and Language Models website: https://wolala.nytud.hu <https://wolala.nytud.hu/>
EasyChair submission: https://easychair.org/conferences?conf=wolala2025
Template for submissions:
ZIP-archive: https://wolala.nytud.hu/templates/WoLaLa2025.zip
Overleaf template: <https://www.overleaf.com/read/xsvjrhvjyfmj#f3362f>https://www.overleaf.com/read/sbmczvkpxpzz#4a94e3
Contact for any questions regarding the conference: info(a)wolala.nytud.hu
RANLPStud 2025 [1]
Student Research Workshop
associated with
the International Conference Recent Advances in Natural Language
Processing
(RANLP 2025 [2])
8-10 September 2025
Varna, Bulgaria
Further to the previous successful and highly competitive Student
Research Workshops associated with the conference 'Recent Advances in
Natural Language Processing' (RANLP, in 2009, 2011, 2013, 2015, 2017,
2019, 2021 and 2023), we are pleased to announce the ninth edition of
the workshop which will be held during the main RANLP 2025 conference
days on 8-10 September 2025. The conference and the workshop will take
place again at the Black Sea city of Varna, Bulgaria.
The International Conference RANLP 2025 [3] would like to invite
students at all levels (Bachelor-, Master-, and PhD-students) to present
their ongoing or completed work at the Student Research Workshop. We
invite two types of student submissions:
* Full Papers - unpublished original research of the student.
* Short Papers - either a work in progress or a research proposal.
The aim of this workshop is to facilitate the exchange of knowledge
between young researchers by providing an excellent opportunity to
present and discuss their work in progress or completed projects to an
international research audience and receive feedback from senior
researchers.
SUBMISSIONS
We invite two types of student submissions:
* Full Papers must describe original unpublished work of the student
in any topic area of the workshop. Full papers are limited to 8 pages
for content, with 2 additional pages for references.
* Short Papers may describe either work in progress or a research
proposal. They may also be in the style of a position paper that surveys
and criticizes existing literature. Short papers must include clear
directions for future research. Submissions of this type are limited to
6 pages for content, with 2 additional pages for references.
All papers must be submitted in .pdf format through the START system.
The papers should follow the format of the main conference, described at
the RANLP website [3],
All papers must have only student authors. Submissions with non-student
authors will not be considered for review. After eventual acceptance of
the paper, the authors could add their supervisor(s) in the
Acknowledgments Section. The submissions must specify the student's
level (Bachelor-, Master-, or PhD) and the type of submission (Full or
Short).
Double submission Authors may submit the same paper at several
conferences. In this case, they must notify the organizers by filling in
the corresponding information in the submission form, as well as
notifying the contact organizer by email.
TOPICS OF INTEREST
The aim of this workshop is to facilitate the exchange of knowledge
between young researchers by providing an excellent opportunity to
present and discuss their work and to receive mentorship and valuable
feedback from an international research community. The research to be
presented can come from any topic within Natural Language Processing
(NLP) and Computational Linguistics, including but not limited to the
following:
* phonetics, phonology,
* morphology;
* syntax, semantics, discourse, pragmatics, dialogue, lexicon;
* complexity;
* mathematical, statistical, machine learning and deep learning
models;
* language resources and corpora;
* crowdsourcing for creation of linguistic resources;
* electronic dictionaries, terminologies and ontologies;
* sublanguages and controlled languages;
* linked data;
* POS tagging;
* parsing;
* semantic role labelling;
* word-sense disambiguation;
* multiword expressions and computational phraseology;
* textual entailment;
* anaphora resolution;
* temporal processing;
* language generation;
* speech recognition;
* text-to-speech synthesis;
* multilingual NLP;
* machine translation, translation memory systems and computer-aided
translation tools, text simplification and readability estimation;
* knowledge acquisition;
* information retrieval;
* text categorisation;
* information extraction;
* text summarisation;
* terminology extraction;
* question answering;
* opinion mining and sentiment analysis;
* fact checking and fake news;
* stance recognition;
* hate speech and aggression detection;
* author profiling;
* dialogue systems;
* chatbots and conversational agents;
* irony and sarcasm detection;
* negation and speculation detection;
* computer-aided language learning;
* multimodal systems;
* language and vision;
* NLP for biomedical texts;
* NLP for educational applications;
* NLP for healthcare;
* NLP for financial purposes;
* NLP for legal texts;
* for the Semantic web;
* theoretical and application-orientated papers related to NLP.
All accepted papers will be presented at the Student Workshop sessions
(oral or poster) during the main conference days: 8-10 September 2025.
The articles will be issued in a special Student Session proceedings
associated with RANLP and uploaded to the ACL Anthology.
IMPORTANT DATES
Submission deadline: 05 July 2025
Acceptance notification: 06 August 2025
Camera-ready deadline: 20 August 2025
Workshop: 8 - 10 September 2025
All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth")
ORGANISING COMMITTEE
Boris Velichkov (Faculty of Mathematics and Informatics and SUMMIT
Project, Sofia University "St. Kliment Ohridski", Bulgaria)
Ivelina Nikolova-Koleva (Institute of Information and Communication
Technologies, Bulgarian Academy of Sciences and Graphwise, Bulgaria)
Milena Slavcheva (Institute of Information and Communication
Technologies, Bulgarian Academy of Sciences, Bulgaria)
Contacts: 2025-stud(a)ranlp.org
Links:
------
[1] https://sites.google.com/view/ranlp-stud-2025/
[2] https://ranlp.org/ranlp2025
[3] http://ranlp.org/ranlp2025/
Dear colleagues,
We are pleased to announce the second call for papers of the
*Workshop on Advancing NLP for Low-Resource Languages (LowResNLP) at RANLP 2025*
The most important information at a glance:
🗓️ Deadline: July 15 (NEW), Workshop: Sep 11-13
📍 Varna, Bulgaria
🌐 https://lrlnlp.github.io/website/
Despite rapid progress in Natural Language Processing (NLP), the benefits of recent advances - especially large language models (LLMs) - remain unevenly distributed. While high-resource languages like English, French, and Chinese have seen significant performance gains, low-resource languages continue to face substantial challenges across core NLP tasks such as machine translation, sentiment analysis, named entity recognition (NER), and part-of-speech tagging.
These disparities arise from a combination of factors: the scarcity of high-quality training data, limited linguistic resources, and a lack of community involvement in data collection and model development. As a result, many languages, particularly African, Indigenous, and minority languages, remain underrepresented in both academic research and deployed NLP systems.
LowResNLP is a workshop dedicated to addressing these challenges by fostering research, collaboration, and discussion around methods, resources, and evaluation practices specifically designed for low-resource languages. LowResNLP seeks to actively contribute to the field by inviting submissions that specifically address the unique challenges and opportunities involved in working with low-resource languages. The workshop welcomes a broad range of topics, including but not limited to:
* Language models and large language models for low-resource languages
* Corpora creation and curation technologies for low-resource languages
* Evaluation benchmarks for language models in low-resource languages
* Language models and resources for low-resource languages in Spain
* Machine/pivot translation for low-resource languages
* Fairness in resources/models for low-resource languages
* Prompting learning strategies for large language models
* Transfer learning and Crosslingual approaches for low-resource NLP
* Massively multilingual approaches to Low-Resource NLP
Important Dates:
NEW Workshop paper submission deadline: 15 July 2025 (AoE)
Workshop paper acceptance notification: 31 July 2025
Workshop paper camera-ready versions: 30 August 2025
Workshop camera-ready proceedings ready: 8 September 2025
Workshops: 11-13 September 2025
Submission formats:
We invite the submission of both full papers and short papers.
Full papers should not exceed 8 pages (plus unlimited number of pages for references and ethics/broader impact statement).
Short papers should not exceed 4 pages (plus unlimited number of pages for references and ethics/broader impact statement).
All submissions should be prepared using the current ACL templates (see https://ranlp.org/ranlp2025/index.php/submissions/).
Papers should be submitted through SoftConf: https://softconf.com/ranlp25/LowResNLP2025
Organizers:
For any questions, please drop a mail to lowresnlp-2025-organizers(a)googlegroups.com
Ernesto Luis Estevanell-Valladares (University of Alicante, Spain; University of Havana, Cuba)
Alicia Picazo-Izquierdo (University of Alicante, Spain)
Tharindu Ranasinghe (Lancaster University, UK)
Besik Mikaberidze (Georgian Technical University, Georgia)
Simon Ostermann (German Research Center for Artificial Intelligence, Germany)
Daniil Gurgurov (German Research Center for Artificial Intelligence, Germany)
Philipp Müller (German Research Center for Artificial Intelligence, Germany)
Kurt Micallef (University of Malta, Malta)
Claudia Borg (University of Malta, Malta)
Michal Gregor (KINIT, Slovakia)
Marián Šimko (KINIT, Slovakia)
Programme Committee:
Nora Aranberri (University of Basque Country)
Sudhansu Bala Das (School of Languages, Literatures & Cultures and Insight SFI Research Centre for Data Analytics, University of - Galway, Ireland)
Ana‑Maria Bucur (University of Bucharest)
Annie Lee En-Shiun (Ontario Tech University and University of Toronto)
Sofía García González (imaxin software, University of the Basque Country)
Albert Gatt (Utretch University)
Teresa Lynn (Mohamed bin Zayed University of Artificial Intelligence)
Basab Nath (Assam University)
Patrizia Paggio (University of Malta)
Dhrubajyoti Pathak (National Forensic Sciences University)
Fabian Schmidt (University of Würzburg)
Marijn Schraagen (Utretch University)
A. Seza Doğruöz (University of Ghent)
Marc Tanti (University of Malta)
Sunita Warjri (University of South Bohemia)
Dear colleagues,
We are pleased to announce the First Call for Papers for the upcoming workshop:
LLMs4All: LLMs, Big Data, and Multilinguality for All - First Call for Papers
- To be held at IEEE BigData 2025, Macau, China | December 8–11, 2025
- Our page for more details: https://vinnlp.com/llms4all
Workshop Scope:
LLMs4All workshop addresses the intersection of LLMs, Big Data, and Multilinguality, with a focus on equitable access and global inclusivity. It explores how large-scale data pipelines and advanced LLM techniques can work together to overcome linguistic disparities, improve model performance for underrepresented languages, and ensure that language technologies are built for all.
We invite contributions across NLP, machine learning, data science, linguistics, and AI ethics, with particular emphasis on low-resource languages in light of this year’s host location, Macau. We also welcome research addressing the broader multilingual landscape, covering both technical innovations and socially responsible AI practices.
We invite submissions on (but not limited to) the following topics:
* LLMs for Low-Resource Languages
* LLMs for Specific Domains
* Scalable Data Collection and Curation
* Cross-Lingual and Multilingual Learning
* Efficient and Inclusive Model Training
* Retrieval-Augmented Generation (RAG)
* Multimodal Language Models
* Real-World Applications
* Big Data Infrastructure and Pipelines
* Ethical and Fair NLP
* Benchmarking and Evaluation
* Regional Case Studies and Collaborations
Submission Guidelines
* Paper Length: Up to 10 pages (including references)
* Format: IEEE 2-column conference format
* Formatting Templates: https://www.ieee.org/conferences/publishing/templates.html
* Submission Link: Link<https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S09…>
All accepted papers will be published in the IEEE BigData 2025 Proceedings and submitted for inclusion in the IEEE Xplore Digital Library.
Important Dates
* First Call For Paper: 27 June 2025
* Second Call For Paper: 28 September 2025
* Final Call For Paper: 17 October 2025
* Submission Deadline: 1 November 2025
* Notification of Acceptance: 15 November 2025
* Camera-Ready Deadline: 23 November 2025
* Workshop Dates: 8-11 December 2025
We encourage you to submit your work and join us in advancing inclusive, multilingual, and scalable language technologies.
If you'd like to share this Call For Paper with colleagues or other relevant mailing lists, feel free to forward this email.
For any inquiries, please contact: cecs.vinnlp(a)vinuni.edu.vn<mailto:cecs.vinnlp@vinuni.edu.vn>
Warm regards,
The LLMs4All Organizing Committee