The deadline for submitting abstracts to the Learner Corpus Research conference, due 16–19 September 2026 in Prague, Czech Republic (https://lcr2026.ff.cuni.cz), has been extended until 7 February 2026.
*** Call for Participation ***
The Annual ACM Conference on Intelligent User Interfaces (IUI 2026)
March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus
https://iui.hosting.acm.org/2026/
(*** Early Registration Deadline: February 13, 2026 ***)
The 2026 ACM Conference on Intelligent User Interfaces (ACM IUI) is the annual premier
venue, where researchers and practitioners meet and discuss state-of-the-art advances
at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI).
Ideal IUI submissions should address practical HCI challenges using machine intelligence
and discuss both computational and human-centric aspects of such methodologies,
techniques and systems.
This year we had a record number of submissions, so we have a record number of
accepted papers (114), a record number of posters and demos (53) and we hope for a
record number of participants.
Furthermore, we have 8 workshops and 5 tutorials.
Finally, the technical program will feature two keynotes, by Antonio Kruger on the role of
HCI in trusted A.I. and Pattie Maes on designing A.I. interaction for human flourishing.
The detailed program of IUI 2026 can be found on the conference website:
https://iui.acm.org/2026/program/ .
The early registration deadline is on February 13th and the registration page is:
https://iui.acm.org/2026/registration/
We are looking forward to meeting everybody in Paphos.
Organisation
General Chairs
• Tsvi Kuflik, The University of Haifa, Israel
• Styliani Kleanthous, Open University of Cyprus, Cyprus
Local Organising Chair
• George A. Papadopoulos, University of Cyprus, Cyprus
Program Chairs
• Li Chen, Hong Kong Baptist University, China
• Giulio Jacucci, University of Helsinki, Finland
• Alison Renner, Dataminr, USA
Dear all,
I would like to draw your attention to the position announced below. We are searching for a postdoc or an advanced PhD student whose research interests align with the interdisciplinary focus of the project. The position requires:
a background in NLP, including prior experience with prompting LLMs and data analysis,
familiarity with key concepts in linguistics and formal pragmatics (e.g. presuppositions),
enthusiasm for interdisciplinary research.
The position is funded for 20 months and runs until the end of 2027.
If you are interested, please submit a single PDF containing:
a brief motivation letter outlining your research interests and connection to the APHIC project;
a CV, including a publication list;
contact information for one to two references.
Applications should be sent to Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de). until February 13, 2026. The position will remain open until filled, so please feel free to get in touch even if you come across this call after February 13th.
Best regards,
Agnieszka Faleńska
———
Dear colleagues,
We invite applications for a Postdoctoral Researcher position in the interdisciplinary project "Authority Presuppositions in Human—AI Communication" (APHIC) at the University of Stuttgart. The project is led by Dr. Agnieszka Faleńska [1] and Prof. Judith Tonhauser [2] under the IRIS-HISIT initiative.
Project
APHIC is part of the "Human-Intelligent Systems Interaction and Teaming" (IRIS-HISIT) programme [3] funded by the Ministry of Science, Research, and the Arts of Baden-Württemberg [4]. The project investigates authority presuppositions—implicit assumptions that an AI system has the expertise to deliver high-stakes advice (e.g., medical or legal). The project aims to (1) develop a theoretically grounded taxonomy of authority presuppositions, and (2) design and evaluate conversational repair strategies that maintain trust and informativeness while ensuring user safety.
Position
• Duration: 20 months
• Earliest start: March 2026
• Salary: TV-L 13 (100%), see [5] for details
• Environment: The researcher will be embedded in the IRIS community [6] and collaborate closely with colleagues at the Institute for Natural Language Processing [7] and the Institute of Linguistics [8].
Candidate Profile
• PhD in computational linguistics or a related field
• Familiarity with key concepts in linguistics and formal pragmatics, e.g. presuppositions
• Experience in programming, prompting LLMs, and machine learning
• Excellent communication skills and enthusiasm for interdisciplinary research
• Proficiency in English (German not required)
How to Apply
Please submit one PDF containing:
• a brief motivation letter outlining your research interests,
• your CV with publication list
• contact information for one to two references.
Applications should be sent to: Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de <http://ims.uni-stuttgart.de/>). Applications received before 13th February 2026 will be given full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening after 13th of February.
The University of Stuttgart would like to increase the proportion of women in the scientific field and is therefore particularly interested in applications from women. Severely disabled persons are given priority in the case of equal suitability.
University of Stuttgart
The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally.
The city of Stuttgart is the capital of the state of Baden-Württemberg in southwest Germany. It is a lively and international city, known for its strong economy and rich culture. With Germany's high-speed train system, it is well-connected to many other interesting places, for instance, Munich and Cologne (~2.5 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (<1.5 hours), and Lake of Constance (~2.5 hours).
Links
[1] www.ims.uni-stuttgart.de/en/institute/team/Falenska <http://www.ims.uni-stuttgart.de/en/institute/team/Falenska>
[2] www.ling.uni-stuttgart.de/en/institute/team/Tonhauser/ <http://www.ling.uni-stuttgart.de/en/institute/team/Tonhauser/>
[3] www.iris.uni-stuttgart.de/research/human-intelligent-systems-interaction-an… <http://www.iris.uni-stuttgart.de/research/human-intelligent-systems-interac…>
[4] mwk.baden-wuerttemberg.de/de/startseite <http://mwk.baden-wuerttemberg.de/de/startseite>
[5] oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2025 <http://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2025>
[6] www.iris.uni-stuttgart.de/ <http://www.iris.uni-stuttgart.de/>
[7] www.ims.uni-stuttgart.de <http://www.ims.uni-stuttgart.de/>
[8] www.ling.uni-stuttgart.de <http://www.ling.uni-stuttgart.de/>
**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ****
-------------------------------------
Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by The HiTZ Chair of Artificial Intelligence
and Language Technology (https://hitz.eus/katedra). We are organizing
one seminar every month.
Next webinar:
Speaker: Henning Wachsmuth (Leibniz University Hannover)
Title: Toward Argumentative Large Language Models
Date: Thursday, February 5, 2026 - 15:00
Summary: Today's large language models (LLMs) are optimized toward
giving helpful answers in response to prompts. In many situations,
however, it may be preferable for an LLM to foster critical thinking
rather than just following an instruction. While recent LLMs are said to
'reason', they barely build on established reasoning concepts known from
argumentation theory. In this talk, I will give insights into recent
efforts of my group in making LLMs more argumentative. Starting from
basics of LLM training processes, I will present how to specialize LLMs
for argumentation tasks via instruction fine-tuning as well as how to
align the arguments they generate using reinforcement learning. From
there, I will give an outlook on how to improve the actual reasoning
capabilities of LLMs.
Bio: Henning Wachsmuth leads the Natural Language Processing Group at
the Institute of Artificial Intelligence of Leibniz University Hannover.
After receiving his PhD from Paderborn University in 2015, he worked as
a PostDoc at Bauhaus-Universität Weimar and as a junior professor in
Paderborn, before he became a full professor in Hannover in 2022. His
group does basic research on large language models for computational
argumentation, social bias detection and mitigation, as well as
explainable and educational NLP. Henning's main research interests
include the generation of audience-aware text, the assessment of
pragmatic text quality, and the modeling of bias and framing.
Registration: https://www.hitz.eus/webinar_izenematea
Upcoming webinars:
José Andrés González-López (March 5)
Ranjay Krishna (April 16)
Barbara Plank (May 7)
You can view the videos of previous webinars and the schedule for
upcoming webinars here: http://www.hitz.eus/webinars
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
The HiTZ Chair of Artificial Intelligence and Language Technology
P.S: HiTZ will not grant any type of certificate for attendance at these
webinars.
[apologies for cross posting]
DeTermIt! Workshop @ LREC 2026
Second Workshop on Evaluating Text Difficulty in a Multilingual Context
Location: Palau de Congressos de Palma, Palma de Mallorca (Spain)
#####################
Second Call for Papers
Schedule
- Paper submissions: 23 February 2026
- Notification of acceptance: 13 March 2026
- Camera-ready due: 30 March 2026
- Workshop: one of 11, 12, or 16 May 2026 (half-day)
All deadlines are 11:59PM UTC-12:00 AoE (“Anywhere on Earth”)
For more information, please visit:
Website: https://determit2026.dei.unipd.it/
#####################
In today’s interconnected world, where information dissemination knows no linguistic bounds, it is crucial to ensure that knowledge is accessible to diverse audiences, regardless of language proficiency and domain expertise. Automatic Text Simplification (ATS) and text difficulty assessment are central to this goal, especially in the age of Large Language Models (LLMs) and Generative AI (GenAI), which increasingly mediate access to information.
The second edition of the DeTermIt! workshop focuses on the evaluation and modeling of text difficulty in multilingual, terminology-rich contexts, with a particular emphasis on the interaction between:
- text simplification,
- terminology and conceptual complexity, and
- LLM/GenAI-based generation and rewriting.
The 2026 edition builds on the first DeTermIt! workshop held at LREC-COLING 2024 (https://determit2024.dei.unipd.it/), as well as related initiatives such as the CLEF SimpleText track (https://simpletext-project.com/), which provides reusable data and benchmarks for scientific text summarization and simplification. DeTermIt! 2026 aims to bring together researchers and practitioners interested in terminology-aware simplification, lexical and conceptual difficulty, and evaluation protocols for GenAI systems.
We welcome contributions that address theoretical, methodological, and applied aspects of text difficulty, including resource creation and evaluation (e.g., corpora, datasets, and benchmarks), with a focus on how linguistic complexity, specialized terminology, and domain knowledge interact with human understanding. In particular, we encourage work that explores how LLMs and GenAI can be evaluated, constrained, or guided to produce readable, faithful, and accessible texts.
#####################
Topics of Interest
#####################
We invite submissions on (but not limited to) the following themes:
1. Theoretical and Modeling Perspectives
- Cognitive and linguistic models of text and lexical complexity.
- Multilingual readability and text difficulty prediction.
- Modeling conceptual difficulty and domain-specific terminology.
- Theoretical connections between lexicography, terminology, and text simplification.
2. Terminology and Conceptual Complexity
- Identification and classification of specialized terms and concepts.
- Estimation of term difficulty for lay readers and second language learners.
- Use of terminological databases, ontologies, and knowledge graphs in simplification pipelines.
- Methods for adapting domain-specific terminology for accessible communication (e.g., in medicine, law, technology).
3. Generative and Explainable AI for Text Simplification
- LLM- and GenAI-based approaches to text simplification and paraphrasing.
- Terminology-Augmented Generation (TAG) and term-preserving simplification.
- Evaluation of GenAI outputs: readability, factuality, terminology fidelity, and hallucination analysis.
- Readability-controlled or difficulty-controlled generation; controllable simplification.
- Human-centered and explainable approaches to text accessibility in GenAI systems.
4. Resources, Benchmarks, and Evaluation Frameworks
- Corpora, annotation schemes, and benchmarks for text difficulty and simplification.
- Datasets and methods for evaluating terminology-aware simplification and explanation.
- FAIR and reusable resources for multilingual text accessibility.
- Evaluation protocols and metrics for cross-lingual and cross-domain simplification and GenAI-based rewriting.
5. Applications and Case Studies
- Domain-specific simplification (e.g., healthcare, legal, scientific communication).
- Tools and systems for educational settings, language learning, or accessible communication.
- User studies, human evaluation setups, and mixed-method approaches to assessing text difficulty and GenAI-assisted simplification.
- Industrial and real-world experiences with integrating ATS and terminology into LLM-driven workflows.
#####################
Submission Guidelines
#####################
We invite original contributions, including research papers, case studies, negative results, and system demonstrations.
When submitting a paper through the START system of LREC 2026, authors will be asked to provide essential information about language resources (in a broad sense: data, tools, services, standards, evaluation packages, etc.) that have been used for the work described in the paper or are a new result of the research. ELRA strongly encourages all authors to share the resources described in their papers to support reproducibility and reusability.
Papers must be compliant with the stylesheet adopted for the LREC 2026 Proceedings (see https://lrec2026.info/authors-kit/).
The workshop proceedings will be published in the LREC 2026 workshop proceedings.
PAPER TYPES
We accept three types of submissions:
- Regular long papers – up to eight (8) pages of content, presenting substantial, original, completed, and unpublished work.
- Short papers – up to four (4) pages of content, describing smaller focused contributions, work in progress, negative results, or system demonstrations.
- Position papers – up to eight (8) pages of content, discussing key open challenges, methodological issues, and cross-disciplinary perspectives on text difficulty, terminology, and GenAI.
References do not count toward the page limits.
#####################
Organizers
#####################
Chairs
Giorgio Maria Di Nunzio, University of Padua, Italy
Federica Vezzani, University of Padua, Italy
Liana Ermakova, Université de Bretagne Occidentale, France
Hosein Azarbonyad, Elsevier, The Netherlands
Jaap Kamps, University of Amsterdam, The Netherlands
Scientific Committee
Florian Boudin - Nantes University, France
Lynne Bowker - University of Ottawa, Canada
Sara Carvalho - Universidade NOVA de Lisboa / Universidade de Aveiro, Portugal
Rute Costa - Universidade NOVA de Lisboa, Portugal
Eric Gaussier - University Grenoble Alpes, France
Natalia Grabar - CNRS, France
Ana Ostroški Anić - Institute of Croatian Language and Linguistics, Croatia
Tatiana Passali - Aristotle University of Thessaloniki
Grigorios Tsoumakas - Aristotle University of Thessaloniki
Sara Vecchiato - University of Udine, Italy
Cornelia Wermuth - KU Leuven, Belgium
#####################
Contact
#####################
For inquiries, please contact:
giorgiomaria.dinunzio(a)unipd.it <mailto:giorgiomaria.dinunzio@unipd.it>
ComputEL-9: Ninth Workshop on the Use of Computational Methods in the
Study of Endangered Languages
First CALL FOR PAPERS for REGULAR SESSION
Submission deadline: March 20, 2026
Submission link: https://softconf.com/acl2026/ComputEL2026
ComputEL-9 will be co-located with ACL 2026 in San Diego, California.
We encourage submissions that explore the interface and intersection of
computational linguistics, documentary linguistics, and community-based
efforts in language revitalization and reclamation. This includes
submissions that:
(i) demonstrate new methods or technologies for tasks or applications
focused on low-resource settings, and in particular, endangered languages,
(ii) examine the use of specific methods in the analysis of data from
low-resource languages, or demonstrate new methods for analysis of such
data, oriented toward the goals of language reclamation and revitalization,
(iii) propose new models for the collection, management, and
mobilization of language data in community settings, with attention to
e.g. issues of data sovereignty and community protocols,
(iv) explore concrete steps for a more fruitful interaction among
computer scientists, documentary linguists, and language communities.
IMPORTANT DATES
20-Mar-2026 Deadline for submissions
1-May-2026 Notification of Acceptance
Early May Camera-ready papers due
(Exact date TBD by ACL)
July 3 or 4 Workshop (Exact date TBD by ACL)
PRESENTATIONS
Presentation of accepted papers will be in both oral sessions and a
poster session. The decision on whether a presentation for a paper will
be oral and/or poster will be made by the Organizing Committee on the
advice of the Program Committee, taking into account the subject matter
and how the content might be best conveyed. Oral and poster
presentations will not be distinguished in the Proceedings.
SUBMISSIONS
In line with our goal of reaching multiple overlapping communities,
authors can submit to one of the workshop’s tracks: (a) language
community perspective and (b) academic perspective.
All submissions must be anonymous following ACL guidelines and will be
peer-reviewed by the scientific Program Committee.
PROCEEDINGS
The authors of selected accepted full papers (long or short) will be
invited by the Organizing Committee to submit their papers for online
publication via the open-access ACL Anthology. Final versions of long
and short papers will be allotted one additional page (altogether 5 and
9 pages) excluding references.
Proceedings papers should be revised and improved versions of the work
that was submitted for, and which underwent, review. Any revisions
should concern responses to reviewer comments or the addition of
relevant details and clarifications, but not entirely new, unreviewed
content.
ADDITIONAL AND CONTACT INFORMATION
Please see the ComputEL-9 website for further information:
https://computel-workshop.org/computel-9/
Email for Organizing Committee: computel.workshop(a)gmail.com
--
======================================================================
Antti Arppe - Ph.D (General Linguistics), M.Sc. (Engineering)
Professor of Quantitative Linguistics
Director, Alberta Language Technology Lab (ALTLab)
Project Director, 21st Century Tools for Indigenous Languages (21C)
Department of Linguistics, University of Alberta
Algonquian Studies Association - Secretary-Treasurer
E-mail: arppe(a)ualberta.ca, antti.arppe(a)iki.fi
WWW: www.ualberta.ca/~arppe, altlab.ualberta.ca
Mānahtu ina rēdûti ihza ummânūti ihannaq - dulum ugulak úmun ingul
----------------------------------------------------------------------
ICMI 2026 CALL FOR PAPERS
============================================
5-9 October 2026, Napoli - Italy
https://icmi.acm.org/2026/
============================================
The 28th International Conference on Multimodal Interaction (ICMI 2026) will be held in Napoli, Italy. ICMI is the premier international forum for advancing research at the intersection of multimodal artificial intelligence (AI) and social interaction to create technically innovative, effective, and human-centered multimodal interactive systems. A unique aspect of ICMI is its multidisciplinary nature, bringing together research in AI, multimodal data processing, human-machine, and human-human interaction to bridge behavioral understanding with technology, with an eye towards impactful applications that benefit people and society.
Novelty will be evaluated along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2026 must demonstrate novelty in at least one of these two dimensions.
The theme of this year's conference is "Context and Cultural Awareness for Multimodal Interaction", to explore how context and cultural factors influence multimodal interaction systems, including their design, implementation, and evaluation. We welcome papers that address the integration of contextual understanding, such as environmental, social, and emotional factors, into multimodal interaction systems. We also encourage contributions that explore cultural considerations in the development and deployment of interactive technologies.
Topics of interest include, but are not limited to:
* Affective computing and interaction
* User-adaptive systems
* Cognitive modelling and multimodal interaction
* Context-aware modelling
* Cross-cultural design and evaluation
* Gesture, touch, and haptics
* Healthcare, assistive technologies
* Human communication dynamics
* Human-robot/agent multimodal interaction
* Human-centred AI and ethics
* Interaction with a smart environment
* Machine learning for multimodal interaction
* Mobile and wearable multimodal systems
* Multimodal behaviour generation
* Multimodal datasets and validation
* Multimodal dialogue modeling
* Multimodal fusion and representation
* Multimodal interactive applications
* Novel multimodal datasets
* Spoken/visual behaviours in social interaction
* System components and multimodal platforms
* Virtual/augmented reality and multimodal interaction
Commitment to ethical conduct is mandatory, and submissions must adhere to ethical standards, in particular when human-derived data are employed. Authors are encouraged to consult the ACM Code of Ethics and Professional Conduct (https://ethics.acm.org/).
*** Important Dates
Abstract deadline April 13, 2026
Paper Submission April 20, 2026
Rebuttal Period June 1, 2026
Paper notification July 6, 2026
Camera-ready paper July 23, 2026
Presenting at the main conference October 6-8, 2026
*** ACM Publication Policies
ACM's New Open Access Publishing Model. Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%).
Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.
Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer:
* $250 APC for ACM/SIG members
* $350 for non-members
This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period. This temporary subsidized pricing will apply to all conferences scheduled for 2026, including ICMI.
Workshop on Learning Non-Literal Expressions with Small Data (NLE 2026)
To be held in conjunction with LREC 2026, Palma de Mallorca, Spain on 11
May 2026.
Website: https://sites.google.com/view/nle2026/home
Overview
Non-Literal Expressions (NLEs) in natural language are a reflection of
fundamental cognitive processes such as analogical reasoning and
categorisation, and are deeply rooted in everyday communication. NLEs
understanding is therefore an essential task for language modeling. This
task is especially challenging because it cannot be tackled by falling
back on individual word meanings, but requires taking into account
larger chunks of surrounding text or even contextual information. At the
same time, it is important because the reliable processing of NLEs is
relevant for optimizing downstream tasks like translation and
summarization.
This workshop focuses on understanding of Non-Literal Expressions. While
most of the earlier work on NLEs had been devoted to metaphor and
metonymy, recent activities target other forms of NLEs as well, e.g.,
hyperbole (deliberate exaggeration), litotes (understatement),
rhetorical questions, and irony. Humanly annotated corpora for NLEs have
very recently started becoming available to the research community and
may serve as the basis for data-driven approaches to NLEs processing,
with the interrelated goals of first identifying and then interpreting
such expressions. Such data is mostly of high linguistic quality, but
still very limited in size. Thus, the workshop’s focus is on adaptation
of Language Models (LMs) and Deep Learning (DL) for processing of
Non-Literal Expressions with limited high-quality data, since such
constructs still pose big identification and processing challenges in
natural language analysis tasks.
Topics of Interest
We are interested in contributions which focus on the use of techniques
like self-training for leveraging unlabelled data, as well as in work
that focuses on the incorporation of external linguistic resources and
knowledge injection to enrich features, and also in research that
describes work on utilisation of multitask learning with the aim to
benefit from related tasks.
The workshop also wants to discuss alternative approaches which may
elaborate on the use of pre-trained Language Models (LMs) as a
foundation and the application of techniques like contrastive learning
and clustering to identify challenging examples within the data, the
ultimate aim of the workshop being to highlight the necessity of
high-quality data, as well as cross-lingual datasets.
Invited Speakers
- Barbara Plank, LMU Munich
- Debanjan Ghosh, Princeton, USA
Further details and info on the invited talks will be announced shortly.
Submission Guidelines
Papers must be submitted electronically through Softconf, using the
following link: https://softconf.com/lrec2026/NLE2026/
Submissions should:
• Be 4–8 pages, excluding references and optional Ethics Statements
• Follow the LREC 2026 style guidelines, available on the conference
website:
https://lrec2026.info/authors-kit/
• Use templates provided here:
https://lrec2026.info/calls/second-call-for-papers/
Authors will be asked to supply information on any language resources
(broadly defined — data, tools, standards, evaluation sets, etc.) used
in or resulting from their work. ELRA strongly encourages sharing such
resources to support reproducibility and reuse.
Accepted papers will appear in the workshop proceedings. Presentation
format (oral/poster) will be based solely on how best to communicate the
work.
Important Dates
• 20 February 2026 — Submission Deadline
• 11 March 2026 — Notification of Acceptance
• 28 March 2026 — Camera-ready Papers Due
Endorsements
The workshop is endorsed by: Collaborative Research Centre 1412
"REGISTER" funded by the DFG Deutsche Forschungsgemeinschaft (German
Research Foundation)
Programme Committee
- Beata Beigman Klebanov, ETS, USA
- Maria Berger, Ruhr-Universität Bochum, Germany
- Yuri Bizzoni, Aarhus University, Denmark
- Kenneth Church, VecML Inc., USA
- Stefanie Dipper, Ruhr-Universität Bochum, Germany
- Markus Egg, Humboldt-Universität zu Berlin, Germany
- Anna Feldman, Montclair State University, USA
- Debanjan Ghosh, Princeton, USA
- Valia Kordoni, Humboldt-Universität zu Berlin, Germany
- Emmy Liu, CMU, USA
- Petya Osenova, Sofia University “St. Kl. Ohridski”, Bulgaria
- Sebastian Padó, IMS Stuttgart, Germany
- Gudrun Reijnierse, Vrije Universiteit Amsterdam, The Netherlands
- Sebastian Reimann, Ruhr-Universität Bochum, Germany
- Adam Roussel, Ruhr-Universität Bochum, Germany
- Tatjana Scheffler, Ruhr-Universität Bochum, Germany
- Vered Shwartz, The University of British Columbia, Canada
- Caroline Sporleder, Georg-August-Universität Göttingen, Germany
- Egon Stemle, EURAC, Italy
Organizers
• Markus Egg — Humboldt-Universität zu Berlin, Germany
• Valia Kordoni - Humboldt-Universität zu Berlin, Germany
Contact: kordonie at rz.hu-berlin.de
Postdoctoral and PhD Opportunities in NLP, Explainable AI & Digital Humanities
University of Vienna — Deadline: 2 March 2026
The University of Vienna is currently advertising postdoctoral and doctoral positions across multiple faculties. Within two of these calls, I am available as host / supervisor for projects in NLP, explainable AI, and language-centered AI research. Selection is carried out by independent committees.
(A) Postdoctoral positions — E-STEEM Programme (STEM faculties)
Deadline: 2 March 2026
Eligibility: Women applicants only (programme rule)
Within the university-wide E-STEEM programme, I am available as a host for postdoctoral projects in Natural Language Processing and Explainable AI, with a focus on interpretability, human-centered evaluation, and responsible language technologies.
A typical candidate profile would include prior publications in leading NLP venues (e.g. ACL, EMNLP, NAACL or closely related conferences). Projects hosted in my group would be embedded in an active NLP research environment with strong mentorship, modern compute infrastructure, and support for developing an independent research profile.
Programme information (Faculty of Computer Science):
https://careers.univie.ac.at/en/postdoc/e-steem/faculty-of-computer-science
Pre-application contact: nlp.datamining(a)univie.ac.at
(subject: E-STEEM – pre-application inquiry)
(B) PhD positions — Philological & Cultural Studies
Deadline: 2 March 2026
The Faculty of Philological and Cultural Studies is advertising doctoral positions within its humanities-focused doctoral programmes. Within this call, I am available to supervise PhD projects in Philological and Cultural Studies that draw on methods from linguistics, Digital Humanities, and AI.
Possible project directions, where there is thematic overlap with my research, include explainability of AI systems, linguistic and human-centered perspectives on language technologies, and computational approaches to cultural and historical language data.
Programme information:
https://careers.univie.ac.at/en/praedoc/praedoc-ssh/ds-of-philological-and-…
Pre-application contact: nlp.datamining(a)univie.ac.at
(subject: PhD PhilKult – pre-application inquiry)
About me / research context: https://www.benjaminroth.net/
--
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
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OSACT 2026 Workshop, Third Call for Papers
11 May 2026, Palma de Mallorca, Spain
https://osact-lrec.github.io
Hosted by LREC 2026
https://lrec2026.info/
Workshop Description
The Open-Source Arabic Corpora and Processing Tools (OSACT) workshop series provides a forum for researchers, practitioners, and students in computational linguistics (CL), natural language processing (NLP), and information retrieval (IR) to share and discuss ongoing work on Arabic language resources and technologies. While Arabic remains comparatively resource-poor in relation to English, recent years have seen the emergence of large, freely available classical and Modern Standard Arabic (MSA) corpora, as well as dialectical corpora and processing tools.
Now in its seventh edition, OSACT7 takes an important step forward by celebrating this milestone with seven shared tasks, each addressing timely challenges in Arabic NLP and reflecting broader themes relevant to NLP research in general. OSACT7 builds on its long-standing commitment to open-source contributions that advance accessibility, reproducibility, and fairness, and this year it places inclusivity at the heart of its mission. A key focus is to recognize and support minority dialects and underrepresented varieties of Arabic, ensuring that diverse linguistic voices and resources are not only acknowledged but actively valued within the community.
The workshop will cover general topics in CL, NLP, and IR, with special emphasis on Large Language Models (LLMs) and Generative AI, including pre-trained Arabic language models, corpus design and evaluation, and annotated corpora for tasks such as named entity recognition, machine translation, sentiment analysis, and text classification. Additional areas of focus include crowdsourcing for data annotation, tools for language education, tokenization, normalisation, morphological analysis, part-of-speech tagging, dialect identification and translation, fake news detection, and web and social media analytics. Methodologies for resource creation and annotation, knowledge extraction, ontologies, terminology, knowledge representation, and integration with the Semantic Web (e.g. Linked Data, Knowledge Graphs) will also be explored.
Workshop Topics
The workshop welcomes (including but not limited to) topics in the following areas:
A) Language Resources:
· Pre-trained Arabic language models.
· Surveys and evaluations of existing Arabic corpora and their associated processing tools.
· Development and release of new annotated corpora for NLP and IR tasks such as named entity recognition, machine translation, sentiment analysis, text classification, and language learning.
· Assessing the effectiveness of crowdsourcing platforms for Arabic data annotation.
· Arabic text and speech processing toolkits.
B) Tools and Technologies:
· Language education, including first (L1) and second (L2) language learning applications.
· Pre-training & fine-tuning approaches for Arabic.
· Tokenization, normalisation, segmentation, morphology, and POS tagging.
· Sentiment analysis, dialect ID, \& classification.
· Web and social media analytics.
· Arabic LRs for text, speech, sign, gesture, image, & multimodal data.
· Best practices for LR interoperability.
· Construction and annotation of LRs.
· Knowledge extraction, acquisition, and representation.
· Ontologies, terminology, and frameworks.
· LRs and the Semantic Web (Linked Data, Knowledge Graphs).
· Data contamination, synthetic data, and quality issues.
Important Dates
· Feb 25 Feb 18, 2026: Paper submission deadline
· March 23, 2026 Notification of acceptance
· March 30, 2026: Camera-ready deadline
· May 11, 2026: Workshop Date
Submission Instructions
We invite submissions on topics of interest between 4 and 8 pages of
content. The page limit of 8 pages does not include acknowledgements,
references, potential Ethics Statements and discussion on Limitations in
line with the policy of the main LREC conference. All submissions must
follow the LREC stylesheet (https://lrec2026.info/authors-kit/).
All submissions are double-blind. Any submissions which are
not-anonymised, over-length, poorly formatted or make excessive use of
appendices to circumvent page limits are liable to desk-rejection.
At the time of submission, authors are offered the opportunity to share
related language resources with the community. All repository entries
are linked to the LRE Map (https://lremap.elra.info/), which provides
metadata for the resource.
Organizing Committee
* Hend Al-Khalifa, Professor, King Saud University, Riyadh, Saudi Arabia, hendk(a)ksu.edu.sa<mailto:hendk@ksu.edu.sa>
* Mo El-Haj, Reader, VinUniversity, Vietnam, Lancaster University, UK, elhaj.m(a)vinuni.edu.vn<mailto:elhaj.m@vinuni.edu.vn>
* Saad Ezzini, Assistant Professor, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, saad.ezzini(a)kfupm.edu.sa<mailto:saad.ezzini@kfupm.edu.sa>
Dr. Saad Ezzini
Assistant Professor, King Fahd University of Petroleum and Minerals (KFUPM)
Saudi Arabia
ezzini.me<http://ezzini.me>
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