The Data Mining and Machine Learning research group at the University of Vienna is seeking graduates or advanced MSc students in Computer Science, Computational Linguistics, Statistics, or related fields who are interested in pursuing a PhD in Explainability for Machine Learning and Natural Language Processing. The successful candidate will join the group as a pre-doctoral researcher. The position is funded for three years and will be supervised by Prof. Benjamin Roth.
Application deadline: 24 June 2025
Research topics may include:
Personalized explanations of large language models
Explanations for complex AI agents
Training data-based explanations
Usability aspects of explanations
Evaluation methods for explainable AI
More information: https://jobs.univie.ac.at/job/University-assistant-predoctoral/1212525201/
--
Univ.-Prof. Dr. Benjamin Roth
Digitale Textwissenschaften
Universität Wien
Kolingasse 14
Raum 5.17
1090 Wien
email: benjamin.roth(a)univie.ac.at
tel: +43 14277 79513
virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee
web: https://dm.cs.univie.ac.at/team/person/112089/
Call for Abstracts – Computational Psycholinguistics Meeting 2025
We are pleased to announce that the abstract submission for the first Computational Psycholinguistics Meeting 2025 is open!
The meeting will take place on December 18–19, 2025, in Utrecht, the Netherlands. It aims to connect researchers using (neuro-)symbolic, Bayesian, deep-learning, connectionist, and mechanistic models (e.g., ACT-R) in studying human language production, perception, and processing.
Keynote Speakers: Stefan Frank (Radboud University), Vera Demberg (Saarland University)
For detailed guidelines, templates, and additional information, visit our website: <https://cpl2025.sites.uu.nl/> https://cpl2025.sites.uu.nl<https://cpl2025.sites.uu.nl/>/
Abstracts must be submitted in PDF format via OpenReview by June 29, 2025 at:
https://openreview.net/group?id=UU.nl/Utrecht_University/2025/CPL
We look forward to your contributions!
Organizers: Jakub Dotlačil, Lena Jäger, Bruno Nicenboim, Ece Takmaz
10th Symposium on Corpus Approaches to Lexicogrammar (LxGr2025)
LxGr2025 will be held online on Friday 11 and Saturday 12 July 2025.
Symposium programme and registration (free): https://ehu.ac.uk/lxgr
If you have any problems registering, or have questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>.
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
________________________________
This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
2nd CfP: The 5th Workshop on Computational Linguistics for the
Political and Social Sciences (CPSS-2025)
https://cpss-sig.github.io/CPSS-2025
CPSS-2025 will be held in September 2025, co-located with KONVENS
<https://konvens-2025.hs-hannover.de> in Hildesheim, Germany.
The workshop will provide a forum for the presentation and discussion of
innovative research on all aspects of using CL/NLP techniques for the
political and social sciences, including:
* Modeling political communication with NLP (e.g. topic
classification, position measurement)
* Mining policy debates from heterogeneous textual sources
* Modeling complex social constructs (e.g. populism, polarization,
identity) with NLP methods
* Political and social bias in language models
* Methodological insights in interdisciplinary collaboration:
workflows, challenges, best practices
* NLP support to understand and support democratic decision making
* Resources and tools for Political/Social Science research
* and many more...
CPSS-2025 will be held in person.
Special Theme
The special theme of CPSS-2025 is
*Validation and best practices for using NLP in political and social
science research*.
In addition to CPSS's general topics, we specifically invite submissions
on this year's special theme, focussing on validation and best practices
for applying NLP techniques for research in the political and social
sciences. We are especially interested in papers addressing issues
related to:
* Data quality in human and synthetic data
* Data leakage and contamination, especially in LLMs
* New ways to collect data such as dataset donation
* Validation of results beyond the train-dev-test paradigm of NLP and
data science.
* Any other topics related to the special theme.
*Important Dates*
All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth.”
Workshop papers due June 13, 2025
Notification of acceptance Aug 1, 2025
Camera-ready papers due Aug 10, 2025
Workshop date Sep 2025
*Submissions*
We solicit two types of submissions:
*archival papers* describing original and unpublished work (long papers:
max. 8 pages, references/appendix excluded; short papers: max 4 pages,
references/appendix excluded). Accepted papers will be published on the
ACL anthology. For the submission format, refer to the KONVENS guidelines.
*non-archival papers* (1-page abstracts, references excluded) describing
ongoing work, PhD projects, or already published research.
For more details, please refer to the CPSS-2025 website:
https://cpss-sig.github.io/CPSS-2025
*CPSS 2025 organising committee*
Dennis Assenmacher (GESIS), Christopher Klamm (U-Mannheim), Gabriella
Lapesa (GESIS/U-Düsseldorf),
Simone Ponzetto (U-Mannheim), Ines Rehbein (U-Mannheim), Indira Sen
(U-Mannheim)
--
Ines Rehbein
Data and Web Science Group
University of Mannheim, Germany
New distance-learning route: Applications for MSc AI for Translation and Interpreting Studies now open (academic year 2025-26 entry)
The Centre for Translation Studies (CTS) at the University of Surrey is pleased to announce the launching of AI in Translation and Interpreting Studies MSc. This MSc programme has an in-person route, but most crucially, a new distance-learning route, for both full-time and part-time modes of study. Classes are delivered synchronously (for all routes and modes of study).
This unique and innovative course draws on the research and pedagogy CTS is well known for, namely the responsible integration of professional practice with AI tools in multilingual mediation, translation and interpreting technologies, translation as intercultural mediation, corpus-based translation, audiovisual translation and automatic translation. As such, the course is ideally suited for students who wish to work at the at the interface of (traditional) Languages degrees, Natural Language Processing, Machine Learning and Machine Translation. This year we encourage applications from students interested in how Natural Language Processing and Large Language Models benefit translators and interpreters.
The new configuration offers a balance of hands-on training and critical skills when using language technologies across the academic year. As an MSc student, you will take three compulsory taught modules in semester 1 and select three optional modules in semester 2 (90 credits). You will then complete your degree with a long dissertation (90 credits), allowing you to tackle a project in greater depth. For full programme details, a special fee offer for the online/distance-learning route and the overall structure, please visit AI for Translation and Interpreting Studies MSc masters course | University of Surrey<https://www.surrey.ac.uk/postgraduate/ai-translation-and-interpreting-studi…>
Our MSc course comes in the wake of further diversification of our postgraduate programmes. It constitutes a change informed by constant dialogue with our students which resulted in a revamp of our portfolio. See our staff-student partnership project "Translation in the Era of General Artificial Intelligence"<https://www.surrey.ac.uk/news/human-and-machine-harmony-centre-translation-…> This change further aligns with recent developments in translation and translation technology projects which are done with the help of AI or AI-powered tools.
If you feel that an MSc is not for you, you can check our other postgraduate courses on topics related to translation and interpreting at: https://www.surrey.ac.uk/centre-translation-studies/study/postgraduate-cour…
Watch our video "More than an MA": https://www.youtube.com/watch?v=R2oVf3X2LEg
---
Prof Constantin Orăsan
Professor of Language and Translation Technologies
Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies> | School of Literature and Languages<https://www.surrey.ac.uk/school-literature-languages>
Personal page: https://www.surrey.ac.uk/people/constantin-orasan
Office: 06LC03, Phone: +44 (0) 1483 68 4115
Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK
Dear Corpora list organizers,
Please find below our submission for circulation:
======
The First Workshop on Optimal Reliance and Accountability in Interactions
with Generative Language Models (*ORIGen*) will be held in conjunction with
the Second Conference on Language Modeling (COLM) at the Palais des Congrès
in Montreal, Quebec, Canada, on October 10, 2025!
With the rapid integration of generative AI, exemplified by large language
models (LLMs), into personal, educational, business, and even governmental
workflows, such systems are increasingly being treated as “collaborators”
with humans. In such scenarios, underreliance or avoidance of AI assistance
may obviate the potential speed, efficiency, or scalability advantages of a
human-LLM team, but simultaneously, there is a risk that subject matter
non-experts may overrely on LLMs and trust their outputs uncritically, with
consequences ranging from the inconvenient to the catastrophic. Therefore,
establishing optimal levels of reliance within an interactive framework is
a
critical open challenge as language models and related AI technology
rapidly
advances.
* What factors influence overreliance on LLMs?
* How can the consequences of overreliance be predicted and guarded against?
* What verifiable methods can be used to apportion accountability for the
outcomes of human-LLM interactions?
* What methods can be used to imbue such interactions with appropriate
levels
of “friction” to ensure that humans think through the decisions they make
with LLMs in the loop?
The ORIGen workshop provides a new venue to address these questions and
more
through a multidisciplinary lens. We seek to bring together broad
perspectives from AI, NLP, HCI, cognitive science, psychology, and
education
to highlight the importance of mediating human-LLM interactions to mitigate
overreliance and promote accountability in collaborative human-AI
decision-making.
Submissions are due June 20, 2025. Please see our call for papers [1] for
more!
[1] https://origen-workshop.github.io/submissions/
======
Best regards,
Nikhil Krishnaswamy
Assistant Professor of Computer Science
*Colorado State University*
Dear colleagues,
We are pleased to announce the first 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 6, 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:
Workshop paper submission deadline: 6 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)
This is the second call for participation on the 18th MT Marathon
that will take place in Helsinki on August 25-29, 2025.
The eighteenth edition of the MT Marathon will be organized by the Language Technology Research group at the University of Helsinki, Finland, with sponsorship of EAMT<https://eamt.org/> and HPLT<https://hplt-project.org/>.
Each Machine Translation Marathon is a week-long gathering of machine translation researchers, developers, students, and users featuring:
- MT Lectures and Labs covering the basics and tutorials.
- Keynote Talks from experienced researchers and practitioners.
- Presentations of research and open-source tools related to MT.
- Hacking Projects to advance tools or research in one week or start new collaborations.
Details can be found on the event page: https://blogs.helsinki.fi/language-technology/mt-marathon-2025/
** Registration **
The registration is free of charge for EAMT members. To register, use the following link:
https://forms.gle/uvrZuWpeSbcmJozK7. The registration form will remain open until the start of the event or the space we can accommodate is filled.
** Call for Abstract Submissions **
The MT Marathon will again host an open session with poster presentations related to MT/NLP research and open-source tools. We invite students, developers and researchers to submit short abstracts (1 page) featuring previously published results, open-source tool demos, and work in progress. Abstracts are lightly reviewed for topical scope, and all relevant submissions will be accepted for presentation.
Deadline: June 15
** Call for project proposals **
As always, project topics will get finalized on the first day of the Marathon, but it was found useful in the past to announce and refine project proposals earlier. If you have an idea what you'd like to implement in a small team of fellow participants, or if you just want to peek at what is going to be proposed, have a look or edit the live document linked here: https://docs.google.com/document/d/1A4Iy_iOVvYHKAwnSV2ZGIPru7t-jeMauCQd6i9G… .
** Programme **
The event will include a poster session, labs, and lessons from experts in the field, including:
* Ayodele Awokoya, McPherson University, University of Ibadan, Masakhane
* Wilker Aziz, University of Amsterdam
* Marta R. Costa-jussà, Meta AI
* Barry Haddow, University of Edinburgh
* Sara Papi, FBK Trento
* Amit Moryossef, ETH, Bar-Ilan University, sign.mt
* Juan Antonio Pérez, University of Alacant
* Gema Ramírez-Sánchez, Prompsit
* Marco Turchi, Zoom
* Jörg Tiedemann, University of Helsinki
The programme is still under construction. For up to date information about invited speakers and the topics that will be covered by talks and labs, have a look at the event page here: https://blogs.helsinki.fi/language-technology/mt-marathon-2025/
Final Call for Papers: NLP for Sustainability (NLP4Sustain) Workshop 2025
This is the final call for papers, the submission deadline is Tuesday, June 10, anywhere on Earth. Summary of important submission information:
* Submission page: https://openreview.net/group?id=KONVENS/2025/Workshop/NLP4Sustain * Anonymity: Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors’ identity.
Program:
The workshop program will consist of accepted paper presentations, as well as
* a Keynote by Dr. Mariana M. de Brito on Information extraction on climate impacts and adaptation using NLP, and * a Shared Task: The results of the SustainEval 2025 GermEval shared task will also be presented at the workshop. The evaluation phase starts on June 10 and ends on June 27: https://sustaineval.github.io For further details, visit our website: https://nlp4sustain.github.io/
If you have any questions, please contact: jakob.prange(a)uni-a.de and/or c.jakob(a)tu-berlin.de
--
Dr. Jakob Prange (er/he)
Akademischer Rat auf Zeit / Research Associate
Chair for Natural Language Understanding & Digital Humanities (Prof. Friedrich)
Faculty for Applied Informatics, University of Augsburg
https://jakpra.github.io/
Extended Call for Participation
New Deadline: Monday 15 June 2025
AthNLP 2025 - Athens Natural Language Processing Summer School<https://athnlp.github.io/2025/index.html>
We invite everyone interested in Natural Language Processing and Machine Learning to participate in the 3rd Athens Natural Language Processing Summer School taking place in Athens, Greece at NCSR Demokritos Campus between 4-10 September 2025.
Application Deadline: 15 June 2025
Apply here: <https://athnlp.github.io/2025/cfp.html> https://athnlp.github.io/2025/cfp.html
[AthNLP2025 banner]<https://athnlp.github.io/2025/cfp.html>
Preliminary schedule<https://athnlp.github.io/2025/schedule.html>
Sponsor info<https://drive.google.com/file/d/1r_JBhUFdH9svHbmNFAg5iSggJj91pPVT/view>
Important Dates
Application Deadline: 15 June 2025
Decision announcement: 20 June 2025
Registration until: 27 June 2025
Summer School: 4-10 September 2025
Following successful editions in 2019 and 2024, AthNLP 2025 returns to the campus of NCSR Demokritos in Athens. The summer school is organised by NCSR Demokritos, the Athens University of Economics and Business, RC ATHENA, and Heriot-Watt University, in close collaboration with LxMLS (Lisbon, 19–25 July 2025).
The school focuses on machine learning methods for NLP, offering:
Morning lectures on theory
Afternoon hands-on lab sessions
Evening research talks, poster sessions, and demos
*Participants will also have the opportunity to present their work in poster sessions throughout the week.
Target Audience:
- Students and researchers in NLP and Computational Linguistics
Computer scientists with interest in NLP and ML
Industry professionals seeking deeper understanding of these fields
** No prior experience in NLP or ML is required—just basic math and Python.
Features of AthNLP:
* Attendance at the Social Event, daily lunch as well as morning and afternoon coffee breaks are included in the application fee.
* Lecturers are leading researchers in machine learning and natural language processing.
* Students will be able to (optionally) show their current work in poster sessions during coffee breaks.
* In the demo day, students will be able to interact with technical companies and research institutions working in machine learning.
Confirmed Speakers
* Antonis Anastasopoulos, George Mason Computer Science
* Mohit Bansal, UNC Chapel Hill
* Eunsol Choi, New York University
* Marie-Catherine de Marneffe, UCLouvain
* Raquel Fernández, University of Amsterdam
* Yulan He, King's College London, UK
* Ryan McDonald
* Preslav Nakov, MBZUAI
* Vlad Niculae, University of Amsterdam
* Anna Rogers, IT University of Copenhagen
Additional speakers will be announced soon.
Fees
300 EUR for students
400 EUR for University professors or researchers at public Institutes
500 EUR for everyone else
Any questions should be directed to: athnlp2024(a)athenarc.gr
We are looking forward to your participation!
The Organising Committee of AthNLP 2025