Dear all,
There is still time to register for the 8-week online course on corpus linguistics and emerging technologies. Simply select the 'Audit option' to join for free.
The course has just begun, and it offers both theoretical and practical perspectives on analysing large amounts of language data. You will learn how to build and analyse your own corpus using the specialised software #LancsBox, and you will explore practical applications of corpus methods in areas such as social issues, language learning and language testing.
You can also ask any questions about corpus linguistics research, and a team of dedicated tutors will be on hand to support you throughout the course.
The best part is that there's no obligation-you can engage with as much or as little of the course as you wish.
For registration go to: https://www.edx.org/learn/social-sciences/lancaster-university-corpus-lingu…
Best regards,
Vaclav
Professor Vaclav Brezina
Co-Director of the ESRC Centre for Corpus Approaches to Social Science
Faculty of Humanities, Arts and Social Sciences, Lancaster University
Lancaster, LA1 4YD
Office: County South, room C05
T: +44 (0)1524 510828
@vaclavbrezina
[cid:image002.png@01DC27B2.DE8CE5B0]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>
*<Lexicom/>*
a workshop in digital lexicography and lexical computing
*Registration open*
*Bari, Italy*15 – 19 September 2025
Your 5 days to get up-to-date with the latest developments in
*corpus-driven lexicography* and to practice your
*corpus building and corpus query skills* with some of the top experts in
the field.
For the programme, lecturers, invited speakers, fees and registration,
visit this website
*lexicom.courses <https://lexicom.courses/upcoming-lexicom/>*
I hope to meet you in Bari in September!
Ondřej
*Ondřej Matuška*
sketchengine.eu <http://www.sketchengine.eu/> | Facebook
<https://www.facebook.com/SketchEngine/> | LinkedIn
<https://www.linkedin.com/in/ondrejmatuska> | Twitter
<https://twitter.com/SketchEngine>
Third and Last Call for Papers: The 7th Workshop on Gender Bias in NLP (GeBNLP 2026)
5th AACL & 15th IJCNLP, November 9, 2026
Hengqin, China (Remote-only mode)
About the Workshop
The GeBNLP workshop <https://gebnlp-workshop.github.io/> serves as a leading venue for the study, evaluation, and mitigation of gender bias in natural language processing. As large language models (LLMs) become foundational to recent NLP applications, addressing how these systems represent and affect different genders, alongside intersecting demographic axes such as race, ethnicity, nationality, religion, and ability, remains a critical challenge for the AI community. While foundational progress has been made in algorithmic debiasing and balanced data collection, recent large-scale evaluations reveal that state-of-the-art models continue to exhibit persistent stereotypes and confidence disparities across intersectional identities (Siddique et al., 2024; Savoldi et al., 2024). Our workshop serves as a multidisciplinary bridge, enabling researchers to define shared standards for tasks and metrics that ensure technical advancements are deeply rooted in the social and ethical realities of systemic harm (Dai et al., 2024).
Topics of Interest
We invite submissions on a wide range of topics related to gender bias in NLP, including but not limited to:
Measurement and Evaluation: New metrics and datasets for quantifying bias in LLMs, MT, and multimodal systems.
Mitigation Strategies: Technical approaches to debiasing (e.g., fine-tuning, adapter-based methods, or prompting strategies).
Multilingual and Cross-Cultural Perspectives: Bias in low-resource languages or non-Western cultural contexts.
Intersectionality: Research exploring how gender bias intersects with race, disability, age, or nationality.
Ethical and Legal Frameworks: Policy implications and the "Human-in-the-loop" role in auditing AI systems.
Authors are encouraged to go beyond binary gender definitions and discuss how their work addresses the complexity of intersecting stereotypes and the diverse demographic contexts involved.
Submission Guidelines
Long Papers are up to 8 pages and short Papers are up to 4 pages (excluding references and appendix).
Non-Archival Submissions: Authors may opt for non-archival submission, allowing work of standard conference quality to be presented without being published in the official proceedings.
Submission Link <https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/GeBNLP…> (Blind submission is required)
Important Dates
Paper Submission Deadline: Wednesday, September 2, 2026
Pre-reviewed (ARR) submission deadline: Tuesday, September 29, 2026
Notification of Acceptance: Friday, October 2, 2026
Camera-Ready Version Due: Monday, October 12, 2026
Workshop Date: Monday, November 9, 2026
Paper Integrity Policy (Important)
We endorse the EMNLP 2026 Paper Integrity Policy <https://2026.emnlp.org/paper-integrity-policy/>. Submissions that misuse AI, include hallucinated citations, present thinly sliced contributions, or are entirely AI-generated may be desk rejected. AI-assisted writing is permitted <https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics…>, provided authors remain responsible for the work.
Organizers
Giuseppe Attanasio, Instituto de Telecomunicações, Lisbon
Christine Basta, Alexandria University & HiTZ, University of the Basque
Agnieszka Faleńska, University of Stuttgart
Vera Neplenbroek, University of Amsterdam
Debora Nozza, Bocconi University
Karolina Stańczak, ETH AI Center, Zurich
Marta R. Costa-jussà, FAIR, Meta
Christian Hardmeier, IT university of Copenhagen
References
Dai, Y., Gu, H., Wang, Y. and Wang, X., 2024, November. Mitigate extrinsic social bias in pre-trained language models via continuous prompts adjustment. In Proceedings of the 2024 conference on empirical methods in natural language processing (pp. 11068-11083).
Siddique, Z., Turner, L. and Anke, L.E., 2024, November. Who is better at math, jenny or jingzhen? uncovering stereotypes in large language models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18601-18619).
Savoldi, B., Papi, S., Negri, M., Guerberof-Arenas, A. and Bentivogli, L., 2024, November. What the harm? quantifying the tangible impact of gender bias in machine translation with a human-centered study. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp. 18048-18076).
We are excited to announce the second edition of the CPH NLP Symposium, taking place on Thursday 22 October 2026 at the Panum building in Copenhagen.
This event brings together researchers, students, and industry practitioners working on natural language processing, with:
• international keynotes;
• two poster sessions (sign up!); and
• dedicated time to discuss work across the field.
Register here and learn more:
https://cphnlp.github.io
(it is free to attend!)
We had a great time last year (https://cphnlp.github.io/2025), and hope to see many of you again this year.
The event is intended as a pre-EMNLP 2026 event, it is the perfect stop before heading to Budapest.
The programme is shaping up with keynotes from:
• Gabriella Lapesa (GESIS & Heinrich-Heine University Düsseldorf)
• Yanai Elazar (Bar-Ilan University)
with three more speakers TBA.
See you in Copenhagen! 🇩🇰
This event is co-organized by:
IT University of Copenhagen (Anna Rogers, Amelie Wührl, Nikolas Vitsakis)
Aalborg University Copenhagen (Johannes Bjerva, Russa Biswas, Ernests Lavrinovics, Dustin Wright)
University of Copenhagen (Desmond Elliott, Mike Zhang)
Call for papers
Special Session on Agentic AI for Spatio-Temporal Information Extraction
and Reasoning - SAIS 2026
Following the rapid emergence of agentic applications and the growing
volume of event-centric news and social media posts, we announce the
first special track on Spatio-Temporal Information Extraction and
Reasoning of the AGENTICS 2026 conference, which this year is part of
the 18th Joint Conference on Computational Intelligence and will take
place in Angers, France.
We aim to bring together research where agentic AI and Large Language
Models are utilized for spatio-temporal grounding of events, entities,
and sentiments from textual sources. This also includes the construction
of event and entity relations, graphs, and timelines and the
spatio-temporal inference of implicitly mentioned locations and time
periods.
We welcome contributions on agentic reasoning for spatio-temporal task
planning: for example, spatio-temporal reasoning from information
extracted from text; reasoning over structured event databases,
spatio-temporal knowledge graphs, and clusters; spatio-temporal
attribute propagation; reasoning about sequences of events; and all
other spatio-temporal reasoning in a text-based context.
We will address also downstream applications of these technologies like
domain-specific monitoring agents for conflict, disasters, environmental
change, public health, and other crisis and policy-related domains.
Finally, we encourage work on early warning and forecasting with LLMs,
and on reasoning over event sequences and spatial proximity to support
downstream analysis and decision-making.
In particular, we welcome submissions addressing the following main
topics: spatio-temporal grounding and extraction using or interacting
with LLM or agentic AI, spatio-temporal agentic reasoning, as well as
downstream agentic or LLM-based applications. We also address evaluation
techniques and benchmarks of the above mentioned approaches.
Additionally, submissions on all other topics, related to agentic and
LLM based spatio-temporal reasoning and extraction from texts will be
considered.
Website: https://agentics.scitevents.org/SpecialSessions.aspx
Important dates:
Paper Submission: September 1, 2026
Authors Notification: September 9, 2026
Camera Ready and Registration: September 18, 2026
Co-chairs of the Special Session:
Hristo Tanev
Joint Research Centre, Data Intelligence for Policy Unit, European
Commission, Italy
Milena Slavcheva
Institute of Information and Communication Technologies, Department of
Artificial Intelligence and Language Technologies, Bulgarian Academy of
Sciences, Bulgaria
Bertrand De Longueville
Joint Research Centre, Text Mining and Artificial Intelligence
Competence Centre, European Commission, Italy
*Knowledge and Natural Language Processing Track @ ACM SAC 2027*
*Aim and Scope*
The Knowledge and Natural Language Processing (KNLP) Track at the ACM
Symposium on Applied Computing investigates methods and applications at the
intersection of *Knowledge Engineering* and *Natural Language Processing*,
with particular emphasis on approaches that combine these two areas.
KNLP is an emerging and highly interdisciplinary research field at the core
of Artificial Intelligence. It brings together and complements scientific
advances in Natural Language Processing, Knowledge Representation and
Reasoning, Machine Learning, and related disciplines.
*Topics of Interest*
Topics of interest include, but are not limited to, the following.
*Natural Language Processing*
- NLP methods for knowledge extraction
- NLP for ontology population and ontology learning
- Sentiment analysis and opinion mining for knowledge-based applications
- Interplay between natural language and ontologies
- NLP for explainable knowledge
- Machine translation techniques for multilingual knowledge
- NLP for the Web
- Bias detection and mitigation in small and large language models
- Interaction between small or large language models and knowledge
*Knowledge*
- Knowledge-enhanced NLP
- Knowledge for information retrieval
- Knowledge-based sentiment analysis and opinion mining
- Combining knowledge and deep learning for NLP
- Knowledge technologies for the Web
- Knowledge-enhanced agentic reasoning
- Agent reasoning over knowledge graphs and ontologies
- Knowledge-based agent personalization
- Linked Data for NLP
- Knowledge-based natural language explainability
- Language-model-enhanced ontology and knowledge engineering
methodologies and tools
- Language-model-based agents for knowledge extraction, reasoning, and
management
- Ontology evaluation using small and large language models
- Ontological knowledge representation and memorization in language
models
- Knowledge-based techniques for language models, including
Retrieval-Augmented Generation, fact-checking, and bias mitigation
- Question answering over knowledge graphs using small and large
language models
*Real-World Applications Exploiting Knowledge and NLP*
- Knowledge and NLP systems for Big Data scenarios
- Knowledge and NLP technologies supporting a diverse, equitable, and
inclusive society
- Deployment and evaluation of Knowledge and NLP systems in domains such
as:
- Digital Humanities and Social Sciences
- eGovernment and public administration
- Life sciences, healthcare, and medicine
- News, media, and data-streaming environments
*Paper Submission*
We invite original research papers and experience reports addressing the
topics listed above.
Submissions must not have been previously published or be under
consideration for publication elsewhere. Papers must be submitted in PDF
format using the official ACM SAC proceedings template.
Authors’ names and affiliations must be entered separately in the
submission system and must not appear in the submitted manuscript. All
submissions will undergo a *double-blind peer-review process* in accordance
with ACM SAC regulations.
Submissions to the *Student Research Competition (SRC)* are also welcome.
Prospective authors should consult the SAC 2027 SRC page for eligibility
requirements and submission instructions.
*Submission Policy*
- All papers must initially be submitted as *regular papers*. There is
no separate submission category for poster papers.
- Papers will be evaluated according to their originality, technical
contribution, presentation quality, and relevance to the Knowledge and
Natural Language Processing Track.
- Depending on the outcome of the review process and the overall
acceptance-rate constraints, technically sound submissions that cannot be
accepted as regular papers may be offered acceptance as posters.
- Although there is no formal minimum page requirement, submissions
shorter than *four full pages* that do not demonstrate a substantial
contribution may be desk-rejected without external review.
*Submission Links*
- *Regular papers and SRC abstracts:* submission links are available
through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/>
- *Author kit and templates:* formatting instructions and official
templates are available through the ACM SAC 2027 website
<https://www.sigapp.org/sac/sac2027/>
*Important Dates*
Please consult the official ACM SAC 2027 website
<https://www.sigapp.org/sac/sac2027/#important-dates> for up-to-date
deadlines and possible changes.
- *October 2, 2026:* Regular paper and SRC abstract submission
- *November 13, 2026:* Author notification
- *November 28, 2026:* Camera-ready copies of accepted papers and SRC
submissions
- *December 5, 2026:* Author registration deadline
- *April 5–9, 2027:* Knowledge and Natural Language Processing Track at
ACM SAC 2027
All deadlines follow the time zone specified on the official conference
website.
*Further Information*
For further information, please visit the Knowledge and Natural Language
Processing Track website <https://knlp.fbk.eu/> and the ACM SAC 2027
conference website <https://www.sigapp.org/sac/sac2027/>.
Questions may be addressed to the KNLP Track Co-Chairs <knlp(a)fbk.eu>.
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**CALL FOR PARTICIPATION**: CLEAR-TEXT Workshop at the conference CLIB 2026 (7 September 2026, Sofia, Bulgaria)
FREE PARTICIPATION
This is an interdisciplinary workshop covering all related fields, such as Linguistics, Translation and Translation Technologies, Psycholinguistics, Education, and Natural Language Processing. The workshop addresses all topics ranging from Legibility to Text Simplification, including issues, resources, and manual and automatic methods related to measuring and improving text comprehensibility.
The event brings together researchers, IT and NLP professionals, publishers, representatives of Bulgarian public institutions (e.g., Ministries of Education, schools), and practitioners (authors, teachers, translators) to discuss current challenges and innovative solutions.
The list of accepted papers and the detailed workshop programme are now available on the workshop website: https://sites.google.com/view/clear-text/programme
The workshop includes two panels - one with Bulgarian practitioners and representatives of public institutions and one with renowned NLP experts: https://sites.google.com/view/clear-text/panels
**To attend in person in Sofia**, please register through the registration page of the conference CLIB, of which the workshop is a satellite event, and clearly indicate that you want to attend the CLEAR-TEXT workshop: https://dcl.bas.bg/clib/registration/
The oral presentations and the panels can be followed online via a link, which will be published on the workshop website on September 4th, 2026.
Regards
Irina Temnikova, PhD
Big Data for Smart Society Institute (GATE)
The Journal of Data Mining and Digital Humanities (JDMDH) has been publishing since 2013 and is seeking a Co-Editor-in-Chief to join its editorial team for a renewable term: https://jdmdh.episciences.org/.
JDMDH is an open-access diamond journal, with no publication fees for authors or readers. The role will involve overseeing peer review and, importantly, contributing to the evolution and future development of the journal, including its editorial scope, visibility, international reach, and connections with emerging research in AI, data mining, and digital humanities.
Self-nominations are warmly encouraged. Time commitment: approximately 5–10 hours per month.
Please contact us at jdmdh(a)episciences.org if you are interested.
CALL FOR ABSTRACTS
DGfS 2027 Computational Linguistics Poster Session
We invite the submission of abstracts for the Computational Linguistics poster session of the 49th annual meeting of the German Linguistic Society (DGfS), hosted by the University of Jena. We invite submissions from all areas of computational linguistics, ranging from models of language across all linguistic areas to corpus lingusitics, multimodal approaches and studies on LLM capability assessment. We especially encourage students and junior researchers to participate.
The poster session is organized by the Special Interest Group on Computational Linguistics of the DGfS (dgfs.de/cl).
Conference webpage: https://www.gw.uni-jena.de/en/101200/dgfs-2027
DATES
- Abstract submission due: September 30, 2026
- Notification of acceptance: October 12, 2026
- Conference dates: March 3-5, 2027
SUBMISSION
Anonymous one-page abstract (A4) in PDF format (12pt). Submissions can be in English or German.
Please submit your abstract via OpenReview: https://openreview.net/group?id=DGfS.de/2027/Conference_Poster_Session (Please note that authors without an OpenReview profile need to register two weeks in advance.)
_______________________________________________________________
Annette Hautli-Janisz, Prof. Dr.
Computational Rhetoric and Natural Language Processing
Faculty of Computer Science and Mathematics
University of Passau
https://www.fim.uni-passau.de/en/cornlp/
"Worlds in which the normal course of events is realized
are a complete bore, there are no adventures or surprises."
(Angelika Kratzer, 1981, 'The Notional Category of Modality', p. 47)
_______________________________________________________________
The ELLIS Institute Finland, a rapidly expanding research hub in AI and machine learning, invites applications for postdoc and doctoral student positions. Deadline: September 21, 2026
More information: https://www.ellisinstitute.fi/postdoc-and-phd-recruit-autumn-2026
Key information about the positions:
*
Positions are based within ELLIS Institute Finland and the wider ELLIS community in Finland.
*
All positions are fully funded and the salaries are based on the Finnish universities’ pay scale.
*
Postdoc positions are typically offered for up to three years and doctoral student positions for four years.
*
Starting dates are flexible and the details of each position will be agreed individually.
*****************************************************************
Jörg Tiedemann
Language Technology https://blogs.helsinki.fi/language-technology/
University of Helsinki