Dear colleagues,
Conducting independent replication and reproduction studies of past research findings has gained increasing importance in recent years, particularly in light of the interdisciplinary replication crisis affecting many research fields, including linguistics. For this reason, we have recently founded a new interdisciplinary journal, “Replication Research (R2)”, which is now open for submissions. Accepted formats include all types of replications, reproductions, and conceptual contributions on the topic of replication and reproduction research.
Thanks to a multidisciplinary team of replication experts that includes three linguists, we accept submissions from multiple disciplines including (Corpus) Linguistics, Digital Humanities, and Qualitative & Quantitative Research Methods.
We are aware that publishing replications and reproductions in this area can be challenging, which is why we have created a transparent, free, and high-quality journal.
The journal is owned by the Münster Center for Open Science and FORRT and thus follows an open-science philosophy, operating under a sustainable diamond open-access model (free-to-read, free-to-publish, authors retain the rights to their article), embedding the Transparency and Openness Promotion (TOP) principles within its journal guidelines, and enabling PCI (peer community in) review compatibility.
If you would like to submit your research, check out our submission guidelines (http://replicationresearch.org) or send a pre-submission inquiry tocontact(a)replicationresearch.org. As methods for reproductions and replications are emerging across fields, we offer multiple types of support for authors, including manuscript templates and a replication handbook.
You are welcome to forward this text to anyone who may be interested. For more information, see the journal page replicationresearch.org or get in touch!
Sincerely,
Lukas Röseler (Editor-in-Chief), Miriam Müller (Editorial Assistant), Elen Le Foll (Linguistics Editor), Ulrike Gut (Linguistics Editor) & Lydia Riedl (Linguistics Editor)
--
*Dr. Elen Le Foll*
/Post-Doctoral Researcher & Lecturer/
Department of Romance Studies
<https://romanistik.phil-fak.uni-koeln.de/> • Data Center for the
Humanities <https://dch.phil-fak.uni-koeln.de/> • University of Cologne
<https://portal.uni-koeln.de/en/uoc-home>
Applied Linguistics • Corpus Linguistics • Language Teaching & Learning
ORCID <https://orcid.org/0000-0002-5839-8010> • HAL Science
<https://cv.hal.science/elenlefoll>
Dear colleagues,
We are pleased to announce an upcoming volume on “Interdisciplinary, cross-lingual, diachronic and synchronic perspectives on the emergence and interpretation of multiword expression meanings”, which will be published by Springer. We now invite article contributions to this peer-reviewed volume.
We welcome contributions from computational linguistics, psycholinguistics, and all other disciplines taking empirically grounded approaches to linguistic phenomena.
TOPIC OVERVIEW
Multiword expressions (MWEs) such as compound nouns (e.g. “loan shark”) and particle verbs (e.g. “take off”) provide a convenient way to express complex ideas, and new MWEs are often generated to refer to new or complex concepts. However, the extent and mechanisms by which new MWEs can be created, used, learned, and interpreted by humans and computational language models in an accurate and communicatively useful manner remains an open question.
A key complicating factor is that MWEs can have multiple, sometimes opaque and idiosyncratic interpretations. Sometimes, these interpretations are fully determined by their constituents expressions; other times, they go beyond these in unexpected directions. One still underexplored factor behind these challenges are meaning changes of multiword expressions – or their constituent words – over time.
In our edited volume, we aim to answer the following research questions:
- Which properties characterize MWE meaning interpretation at their time of emergence?
- What is the common ground (temporal and contextual) for MWE emergence?
- Why is an MWE chosen at the time of emergence, in contrast to a simplex or complex alternative with the same or a similar interpretation?
- How do MWE interpretations and degrees of transparency change over time or across domains?
- What are useful and reliable MWE representations (in cognitive and/or computational models), especially regarding sparse-data conditions and sub-word tokenization?
- What are useful and reliable cognitive and/or computational models for MWE meaning characterization and changes?
HOW TO CONTRIBUTE
If you are interested in contributing, please send your finalized, anonymized article (as a .pdf or .docx document) to the following email address:
mwe-volume(a)ims.uni-stuttgart.de
For formatting recommendations and further technical details, see here:
https://sites.google.com/view/mwe-volume/
The article will undergo a double-blind peer-review process, with at least two reviewers. At the same time, by submitting an article, you also commit to providing up to two reviews for other contributions.
We welcome inquiries ahead of submission time regarding the target topic areas or any other questions you may have.
IMPORTANT DATES
Deadline for chapter submission: April 15, 2026
Deadline for reviews: June 15, 2026
Deadline for revised chapter submission: August 15, 2026
If you have any questions, please let us know. We look forward to your contributions!
Filip Miletić (Universität Stuttgart)
Fritz Günther (Humboldt-Universität zu Berlin)
Wei He (University of Exeter)
Aline Villavicencio (University of Exeter)
Sabine Schulte im Walde (Universität Stuttgart)
RetroEval 2026: Symposium on Natural Language Generation Evaluations
============================================
1-2 June 2026, Aberdeen, Scotland, United Kingdom
https://retroeval.github.io/
============================================
Evaluation in the field of Natural Language Generation (NLG) has changed considerably over the past several decades. This special symposium in honour of Prof. Ehud Reiter’s retirement provides a forum for academic and industry researchers to look back on the topic of how evaluations in the field of NLG have changed and to explore unaddressed challenges. The two day symposium will be held in-person at the Sir Duncan Rice Library in the historic University of Aberdeen, June 1-2, 2026. For this symposium, we welcome submissions of long papers, short papers, and extended abstracts.
*** Workshop Theme ***
Ehud Reiter has been a leading light in Natural Language Generation (NLG) research throughout the four decades he worked in this area, in both academia (Aberdeen) and industry (CoGenTech; Arria NLG). Ehud’s influence extends to all aspects of NLG, but the areas in which it has arguably been the strongest is evaluation of NLG systems. On the occasion of his retirement, this workshop, which is held in his honour, will therefore focus on evaluation of NLG systems, highlighting in particular some of the topics that Ehud has tended to emphasize (see below) such as the importance of reproducibility and the risks of data contamination.
*** Topics of Interest ***
Topics of interest include (but are not limited to) the following:
-- The aims of NLG and NLG evaluation
-- Intrinsic versus extrinsic NLG evaluation
-- Evaluation of NLG systems in the real world
-- Impact assessment of NLG systems and LLMs
-- New evaluation challenges arising from the use of LLMs
-- Hallucination annotation and its role in NLG evaluation
-- Statistical analysis for NLG evaluations
-- Data contamination in NLG evaluation
-- LLMs as evaluators: opportunities and pitfalls
-- The role of LLMs in the development of evaluation metrics
-- Reproduction and reproducibility of human evaluation experiments
-- Publication bias: What to do with negative results?
-- Pre-publication of research hypotheses in NLG evaluation
-- NLG evaluation versus psycholinguistic experimentation: what can we learn from each other?
-- Disciplinary cultures and evaluation methods
-- Evaluating NLG systems/LLMs for assistive technology
*** Submission Types ***
The workshop accepts the following submission types:
• Long Papers (archival)
• Short Papers (archival)
• Extended Abstracts (non-archival)
Accepted contributions will be presented as oral or poster presentations.
*** Archival Submissions ***
• Long papers:
• Up to 8 pages (excluding references)
• Unlimited references
• Up to 2 appendix pages
• 1 additional page in the final version to address reviewer comments
• Short papers:
• Up to 4 pages (excluding references)
• Unlimited references
• Up to 1 appendix page
• 1 additional page in the final version for reviewer comments
*** Non-Archival Submissions ***
• Extended abstracts:
• Up to 2 pages including references
• 1 additional appendix page for tables/figures
• Selection based on the symposium fit
*** Submission Format ***
• Two-column ACL 2026 format
• LaTeX template only
• PDF submissions only
• Submissions via OpenReview
*** Important Dates ***
Note: All deadlines are 23:59 UTC-12.
• ARR commitment deadline (archival): 16 March, 2026
• Direct paper submission deadline (archival): 24 April, 2026
• Direct paper submission deadline (non-archival): 1 May, 2026
• Notification of acceptance: 8 May, 2026
• Camera-ready deadline: 22 May, 2026
• Symposium dates: 1-2 June, 2026
*** Review Policy ***
Long and short papers will follow ACL double-blind review policies. Submissions must be anonymized, including self-references and links. Papers violating anonymity requirements will be rejected without review. Demo descriptions are exempt from anonymization.
Contact and Information
• Website: https://retroeval.github.io/
• Email: retroeval(a)googlegroups.com <mailto:retroeval@googlegroups.com>
Workshop Organisers: Saad Mahamood (Shopware), David Howcroft (University of Aberdeen), Kees van Deemter (Utrecht University), Albert Gatt (Utrecht University), Simone Balloccu (TU Darmstadt), Margaret Mitchell (Hugging Face), Alberto Bugarín Diz (CiTIUS & University of Santiago de Compostela), Jose María Alonso-Moral (CiTIUS & University of Santiago de Compostela), Adarsa Sivaprasad (University of Aberdeen), Chenghua Lin (Manchester University), and Alexandra Johnstone (University of Aberdeen).
[Apologies for cross-postings]
CALL FOR PAPERS
CV4Edu: Computer Vision × Education: building a cross-community agenda for multimodal vision in classrooms
In conjunction with CVPR 2026, June 3 or 4, Denver, CO, US.
Website: https://cv4edu.github.io/
Computer vision (CV) plays a central role in multimodal human-centered AI, yet most models are trained on web-scale benchmarks that poorly reflect real classrooms. Educational data are noisy, private, small-scale, and multimodal (e.g., video, audio, text). Students’ cognitive/behavioral states (e.g., engagement, mind-wandering) and learning processes (e.g., self-regulation, collaboration) can be inferred from subtle multimodal cues (e.g., gaze, pose, facial features). Still, today’s models struggle to generalize to classroom data, limiting reliability in deployed human-centered applications (e.g., assistive technology, collaborative AI). CV4Edu brings together computer vision, natural language processing, human-computer interaction, and educational researchers to chart a community agenda for efficient, privacy-aware multimodal data-driven models that are more reliable in low-resource, real-world classroom settings — potentially launching shared datasets, metrics, and unified practices.
Our goal is to support research that bridges CV, NLP, HCI, cognitive science, and the learning sciences/education communities. We welcome submissions both within and beyond education contexts—such as multimodal modeling, sensing, behavior forecasting, cognitive state inference, robotics, and embodied AI—provided they discuss transferability to classroom settings (e.g., what may break or carry over under noise, occlusions, viewpoints, multi-person dynamics, privacy constraints, limited annotations, distribution shift, hardware variability).
***********************************
TOPICS
The workshop topics include (but are not limited to):
Multimodal classroom perception
- Face, gaze, pose, gesture, posture, affect, and prosody
- Video, audio, gaze sensors, and wearables (egocentric and exocentric)
- Multimodal fusion, representation learning, and cross-view / multi-camera setups
Language-centered multimodal learning analytics
- Linking speech/text to video events, gaze/attention, and instructional context
- Classroom NLP: ASR robustness, diarization, evaluating and mitigating bias, discourse modeling, dialogue/tutoring interactions, simplification, misconception detection
- Retrieval-augmented classroom analytics, model adaptation, evaluation for learning-aligned outcomes
Robustness & generalization
- Domain shift beyond the lab, occlusions, noisy data, and missing modalities
- Few-/low-shot learning, continual and on-device adaptation
- Generalization across classroom layouts and populations
Human behavior modeling for learning
- Engagement, attention, affect, confusion, self-regulation, and metacognition
- Collaboration, group dynamics, and teacher–student interactions
- Gaze-informed models, saliency/scanpath prediction, activity recognition
Temporal modeling & intervention
- Sequential/temporal models of learning processes
- Behavioral forecasting, early-warning systems, and interventions
- Real-time inference, feedback, and human-in-the-loop systems
Interpretability, reliability & evaluation
- Interpretable models, uncertainty estimation, and calibration
- OOD detection, fairness, and bias analysis
- Evaluation protocols aligned with learning outcomes
Privacy-aware, datasets & deployments
- Privacy-preserving data collection, anonymization, de-identification, and governance
- Annotation strategies, construct-aligned labeling, active learning, synthetic data, and dataset curation
- Classroom-ready systems, scalable multimodal data-collection frameworks, edge/on-device inference, and real-world deployments
**We encourage general computer-vision, visually grounded NLP, and human-centered, collaborative AI submissions (e.g., behavioral modeling, pose/activity recognition, gaze estimation, attention modeling, multimodal learning, methods “in the wild”, cognitive state inference and forecasting) that make a clear connection to educational/learning environments (even if primarily in the discussion).**
***********************************
SUBMISSIONS
The workshop invites submissions presenting original research, emerging ideas, datasets and benchmarks, systems, applications, and position papers advancing methods for real-world educational settings. We welcome both archival and non-archival contributions, including early-stage work and previously published research, with the goal of fostering discussion and community building.
All submissions must follow the CVPR 2026 paper template and official style guidelines (https://cvpr.thecvf.com/Conferences/2026/AuthorGuidelines).
**Archival Track (Full Papers)**
Papers submitted to the Archival Track must present original, unpublished work and will be considered for inclusion in the official CVPR 2026 workshop proceedings. The main text must be 6–8 pages in length and formatted according to the CVPR 2026 submission guidelines. References and appendices are not subject to a page limit.
**Non-Archival Track (Extended Abstracts + Short / Position Papers)**
We invite non-archival submissions describing ongoing projects, preliminary results, datasets or benchmarks in progress, negative results, lessons learned, position papers, and work previously published elsewhere (including papers on arXiv or at other venues). These submissions will not be included in the official proceedings. Extended abstracts may be up to 2 pages and short/position papers up to 4 pages (excluding references), formatted according to the CVPR 2026 submission guidelines.
Review Process
- All submissions will undergo double-blind peer review.
- Archival submissions will receive at least two reviews, followed by a meta-review.
- Submissions must comply with CVPR policies.
- An ethics/IRB checklist is required where applicable, and an optional ethics and broader impact statement may be included.
Important Dates (AoE)
- **Submission Deadline (All Tracks)**: March 12, 2026
- **Notification of Decision**: April 3, 2026
- **Camera-Ready Deadline (Archival Only)**: April 10, 2026
Submission Site
Papers can be submitted through the OpenReview Submission Site (https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/CV4Edu).
***********************************
ORGANIZERS
Ekta Sood: University of Colorado Boulder
Joyce Horn Fonteles: Vanderbilt University
Mariah Bradford: Colorado State University
Paul Gavrikov: Independent researcher
Prajit Dhar: University of Marburg
Janis Pagel: University of Cologne
Trisha Mital: Dolby Laboratories
Gautam Biswas: Vanderbilt University
Sidney D'Mello: University of Colorado Boulder
Contact: cv4edu.cvpr(a)gmail.com
Call for Presentations and papers
47th Translating and the Computer Conference (TC47)
Luxembourg, 8 to 10 December 2026
AI-assisted or AI-eclipsed? Language services between promise and
pressure
AsLing invites submissions for the 47th edition of the Translating and
the Computer Conference (TC47), to be held from 8 to 10 December 2026 in
Luxembourg.
The TC conference series brings together professionals, researchers,
developers and decision-makers from the language industry, academia and
public institutions. TC47 will explore how technological innovation -
particularly AI - is reshaping multilingual communication, raising new
questions about human agency, professional ethics, and sustainable
practices in the language services sector.
Conference theme
_AI-assisted or AI-eclipsed? Language Services between Promise and
Pressure_
From Machine Translation and LLMs applied to translation, language
professionals face unprecedented change. TC47 invites reflection on how
to navigate this evolving landscape - to ensure that technology empowers
rather than eclipses, and that multilingual communication remains
inclusive, trusted and professionally grounded.
We especially welcome contributions exploring:
* Synergy between human expertise and AI-powered tools
* The role of AI in promoting or undermining inclusion and equity
* Strategies for sustainable and ethical language services
* Cross-sector collaboration between academia, industry, and
institutions
Submissions not focused on AI are equally welcome, particularly those
addressing broader trends in multilingual communication, training,
translation workflows, and evolving professional practices.
We also welcome critical reviews and discussions on:
* The broader impact of AI and automation on the language industry
* Implications for training, education and career development of
language professionals
* Coexistence of AI and traditional practices
* Impact of AI on language professionals
* Adoption barriers and risks for LSPs new to AI
* Future trends in translation, interpreting, and localisation - with
or without AI
* Responsible and sustainable development in language technologies
(environmental, social, professional)
Key areas of interest
Include, but are not limited to:
* Multilingual NLP and large language models
* Human-in-control systems vs. human-in-the-loop AI
* Terminology management and controlled language
* AI readiness and digital transformation in LSPs
* NLP, semantic technologies and linked data
* Collaborative translation tools and environments
* Quality assurance, benchmarking and evaluation
* Training, professional development and digital upskilling
* Inclusive and culturally aware AI systems
* Sustainable practices across the language lifecycle
* Language policy and digital language equality
* FAIR data, corpora and infrastructure
* Ethical implications and human oversight
* Empowering language professionals to shape - not just use - AI tools
* Non-AI innovations and evolutions in translation, interpreting,
localisation or terminology work
We invite:
* Innovative research: studies that expand the boundaries of language
technologies, multilingual NLP, or AI ethics.
* Practical applications: case studies from public or private sector
stakeholders showcasing language technology use and development.
* Workshops and panels: interactive formats encouraging dialogue on
timely, challenging or divisive issues in AI and language work.
* Critical reflections: well-argued contributions questioning current
uses of AI and proposing alternative, human-centred approaches.
* Posters and short talks: snapshots of emerging projects, tools, or
preliminary research.
Submission tracks
All submissions are for talks, within the following categories:
* Research track (Academic)
* 20-minute talk
* Followed by a paper (max. 5,000 words) presenting original,
unpublished research
* User experience track (Non-academic)
* 20-minute talk
* Optional post-facto paper (max. 5,000 words) detailing workflows,
tools or implementation cases
* Posters / Short talks
* 7-8-minute talk
* Followed by a paper (max. 2,000 words) outlining a project,
experiment, or tool
* Workshops and panels
* Interactive sessions with multiple speakers
* Moderators may submit an optional post-facto paper summarising key
takeaways
Submission instructions
Submissions must be made via the START conference submission system:
https://www.softconf.com/p/tc2026 [1]
Important dates
* Deadline for research/user experience talks: 30 June 2026
➤ Notification of acceptance: 31 August 2026
* Deadline for workshops and panels: 31 July 2026
➤ Notification of acceptance: 15 September 2026
* Deadline for posters and short talks: 15 September 2026
➤ Notification of acceptance: 30 September 2026 * Final paper
submission (except post facto workshop and panel papers): 31 October
2026
* Conference dates: 8-10 December 2026
Submission guidelines
Detailed submission guidelines, including templates and formatting
instructions, will be available on the TC47 conference website.
We look forward to your contributions that will help shape the future of
language services through innovation, collaboration, and inclusivity.
Why submit to TC47?
TC47 offers a unique opportunity to engage in a multi-stakeholder
dialogue that bridges research, practice and policy. It is a space for
shared reflection on what language professionals need, what tools
actually deliver and how we co-create a future where humans and AI work
better together.
Let's explore, challenge and shape the future of multilingual
communication together!
--
Amal Haddad Haddad (She/her)
Facultad de Traducción e Interpretación
Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad
Lexicon Research Group |http://lexicon.ugr.es/haddad
Co-Convenor, BAAL SIG 'Humans, Machines,
Language'|https://r.jyu.fi/humala
Event Coordinator, BAAL SIG 'Language, Learning and Teaching'
===============
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Links:
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[1] https://www.softconf.com/n/tc2026
Apologies for cross-posting.
----------------------------------------
The International Conference on Spoken Language Translation
ACL – 23rd IWSLT 2026 – First Call for Participation
July 3-4, 2026 - San Diego, CA, USA
http://iwslt.org
The International Conference on Spoken Language Translation (IWSLT) is the
premier annual conference for all aspects of Spoken Language Translation.
Every year, the conference organises and sponsors open evaluation campaigns
around key challenges in simultaneous and consecutive translation, under
real-time/low-latency or offline conditions and under low-resource or
multilingual constraints. System descriptions and results from
participants’ systems and scientific papers related to key algorithmic
advances and best practices are presented.
IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken
Language Translation of ACL, ISCA and ELRA. With a track record of 22
years, IWSLT benchmarks and proceedings serve as reference for all
researchers and practitioners working on speech translation and related
fields.
The 23rd edition of IWSLT will be run as an ELRA/ACL event and co-located
with ACL 202 <https://2026.aclweb.org/>6 on July 3-4, 2026. It will be run
as a hybrid event.
Important Dates
January 1, 2026: Release of shared task training and dev data
March 15, 2026: Scientific paper submission deadline
Apr 1-15, 2026: Evaluation period
April 24, 2026: System description paper submission deadline
May 15, 2026: Notification of acceptance
June 1, 2026: Camera-ready deadline (all papers)
July 3-4, 2026: IWSLT conference
Evaluation
The IWSLT 2026 features shared tasks <https://iwslt.org/2026/#shared-tasks>
that address the following focus areas:
-
Speech to Text Translation track: Offline, Low-resource
-
Customized Speech Translation track: Compression, Subtitling,
Simultaneous
-
Speech Generation track: Indic S2S, African S2S, Cross-lingual Voice
Cloning
-
Instruction Following track
-
Speech Translation Metrics track
Training and development data for each shared task will be prepared and
released by the respective organisers (for further information on this
initiative, please refer to the website). Participants will receive
instructions about how to submit their runs. In addition, participants have
the opportunity to present their work through a system paper that will be
published in the ACL Proceedings.
Conference
IWSLT also invites submissions of scientific papers to be published in the
ACL Proceedings and presented either in oral or poster format. The
conference selects high-quality, original contributions on theoretical and
practical issues of spoken language translation research, technologies and
applications. Submissions will be accepted directly through the IWSLT
submission site (to be announced at the conference website
<https://iwslt.org/2026/>). We will also accept commitments of submissions
with reviews from the ACL Rolling Review.
Additionally, to foster cross-pollination of ideas, the conference also
invites the presentation of papers on speech translation recently published
elsewhere. Please note that this is for non-archival presentation of papers
relevant to speech translation already published in other venues (e.g., ACL
2026 Findings papers, speech, NLP or MT conferences). Submissions for this
category will be accepted through a dedicated form (to be announced at
the conference
website <https://iwslt.org/2026/>). Papers will be checked for relevance to
IWSLT and assigned either oral or poster presentation slots if selected.
Contact
Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you
have any questions related to the shared tasks.
Thanks,
Marcello, Alex, Antonios, Luisa, Matteo, Jan, Sebastian, Marco Elizabeth,
Atul
(IWSLT organisers)
Dear colleagues,
The Language Technologies (LT) group at the Institute for Applied Linguistics, Eurac Research (Bolzano/Bozen, Italy), is currently hiring two junior researchers in Computational Linguistics / NLP:
Junior Researcher in NLP / Corpus Linguistics
*
12 months with the possibility of extension depending on project needs and the candidate’s performance, full-time (40h/week, part-time ≥70% possible)
*
The position will contribute to various projects centred around corpus collection, compilation and processing/annotation for mono- and multilingual data, including the implementation and evaluation of state-of-the-art NLP methods for those purposes.
*
Full job posting and further information on requirements: https://eurac.onboard.org/jobs/qmjnLBmD
*
Contact: jennifer.frey(a)eurac.edu<mailto:jennifer.frey@eurac.edu>
Junior Researcher in Speech-to-Text (STT) Technologies for Minority Languages
*
18 months, full-time (40h/week, part-time ≥70% possible)
*
The position will work on a project on the development of STT technologies for minority languages and will contribute to data collection and preparation, training and fine-tuning of STT models and evaluation of methods.
*
Full job posting and further information on requirements: https://eurac.onboard.org/jobs/VG8pLxG9
*
Contact: luca.ducceschi(a)eurac.edu
We
Application deadline: 31/03/2026
We would be grateful if you could share this call with potentially interested candidates!
With kind regards,
Jennifer-Carmen Frey
Jennifer-Carmen Frey, PhD [cid:3e3772a0-c83d-48a2-a8fe-34fc4ee1496a] <https://orcid.org/0000-0002-7008-6394>
Eurac Research
Institute for Applied Linguistics
Drususallee/Viale Druso 1
I-39100 Bozen/Bolzano
www.eurac.edu<http://www.eurac.edu/>
[signature_1401579056]<https://www.eurac.edu/en>
According to regulation (EU) 2016/679 this transmission is intended only
for the use of the addressee and may contain confidential information.
If you receive this transmission in error, please notify the sender immediately
by email and delete all copies of this message and any attachments.
Call for Main Conference Papers
Overview
EMNLP 2026 invites the submission of long and short papers featuring
substantial, original, and unpublished research on empirical methods
for Natural Language Processing. EMNLP 2026 has a goal of curating a
diverse technical program—in addition to traditional research results,
papers may contribute negative findings, survey an area, announce the
creation of a new resource, argue a position, report novel linguistic
insights derived using existing computational techniques, and
reproduce (or fail to reproduce) previous results. As in recent years,
some of the presentations at the conference will be of papers accepted
by the Transactions of the ACL (TACL) and the Computational
Linguistics (CL) journals.
Important Dates
ARR submission deadline (long & short papers) May 25, 2026
Reviewer registration deadline for ALL authors May 27, 2026
Author response and author-reviewer discussion July 7 - July 13, 2026
Meta review released July 30, 2026
EMNLP commitment deadline August 2, 2026
Notification of acceptance (long & short papers) August 20, 2026
Camera-ready papers due (long & short) September 20, 2026
Main Conference (dates for Workshops/Tutorials TBD) October 22 - 26, 2026
Note: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”).
Following the ACL and ARR policies, there is no anonymity period requirement.
At the time of submission to ARR, authors will be asked to select a
preferred venue (e.g., EMNLP 2026). This is used only to calculate
acceptance rates. Authors who selected EMNLP 2026 as a preferred venue
when submitting to ARR may choose not to commit to EMNLP 2026 after
receiving their reviews, and authors who selected a preferred venue
other than EMNLP 2026 when submitting to ARR are still welcome to
commit to EMNLP 2026.
New: Paper Integrity Policies at EMNLP
There is growing concern in our community regarding unethical paper
submissions that overwhelm community resources, including but not
limited to, thinly sliced contributions, submissions with hallucinated
citations, and entirely AI-generated papers (AI writing assistance is
permitted). EMNLP will take actions against such submissions, as well
as submissions that violate the ACL Policy on Publication Ethics. Such
submissions may be desk rejected, and all authors involved in the
submission may be ineligible to commit their paper(s) to EMNLP 2026
and EMNLP 2027.
Paper Submission Information
Dual submissions are not allowed! Please check the ARR Multiple
Submission Policy for details. Papers must be submitted, at latest, by
the ARR 2026 May cycle. Papers that have received reviews and a
meta-review from ARR (whether from the ARR 2026 May cycle or an
earlier ARR cycle) may be committed to EMNLP via the commitment link.
Mandatory Reviewing Workload
All authors are expected to sign up to review, or serve as an Area
Chair or Senior Area Chair, with assignments subsequently based on
qualifications. After submission, all authors must complete the author
registration form by May 27, 2026 EoD AoE. If you receive assignments,
your reviews must be completed by July 6, or your meta-reviews - by
July 29. In case of any emergencies, the chairs should be warned via
the emergency declaration form.
Highly irresponsible reviewers may be ineligible to (re-)submit or
commit their work during the next ARR cycle. The submitting authors
should (a) make sure that all other authors are aware of this policy,
and (b) check that everybody on their team(s) submits their
(meta-)reviews on time and in accordance with the guidelines. You can
read additional details on the definition of highly irresponsible
reviewers and the corresponding ARR policy here:
https://aclrollingreview.org/incentives2025
AI Reviewing Experiment (opt-in)
The Program Committee plans on running an opt-in AI Reviewing
Experiment to collect feedback from authors on the utility of AI
Reviewers in the review process. The AI Reviews for opted-in
submissions will not inform any part of the conference decision
process. We will run this experiment under IRB approval, using
open-weights models running on in-house compute resources, or closed
models that guarantee zero-data retention.
Submission Topics
EMNLP 2026 aims to have a broad technical program. Relevant topics for
the conference include, but are not limited to, the following areas:
Clinical and Biomedical Applications
NLP and Code Models
Computational Social Science and Cultural Analytics
Dialogue and Interactive Systems
Discourse and Pragmatics
Efficient Methods for NLP
Ethics, Bias, and Fairness
NLP and Symbolic Reasoning
Generation
Human-Centered NLP and Human-AI Interaction
Information Extraction
Information Retrieval and Text Mining
Interpretability and Analysis of Models for NLP
Language Modeling
LLM Agents
LLM Security
Linguistic Theories, Cognitive Modeling, and Psycholinguistics
Machine Learning for NLP
Machine Translation
Multilingualism and Cross-Lingual NLP
Multimodality and Language Grounding to Vision, Robotics and Beyond
NLP Applications
Phonology, Morphology, and Word Segmentation
Question Answering
Resources and Evaluation
Semantics: Lexical and Sentence-Level
Sentiment Analysis, Stylistic Analysis, and Argument Mining
Speech Recognition, Text-to-Speech and Spoken Language Understanding
Summarization
Syntax: Tagging, Chunking and Parsing
Special Theme: New Missions for NLP Research
EMNLP 2026 Theme Track: New Missions for NLP Research
Large language models have rapidly shifted from research prototypes to
widely used infrastructure. This new reality is changing the center of
gravity of NLP research, and progress can no longer be measured only
by fractional improvements in benchmark scores. When strong
general-purpose models are increasingly available through open
releases and commercial platforms, the field faces a more foundational
question: What are the missions of NLP research now, and what kinds of
contributions most advance that mission?
The EMNLP 2026 special theme invites papers that articulate, test, and
advance visions for NLP in this era. We welcome work that reflects on
the mission(s) of NLP research, reframes our collective research
goals, proposes new evaluation and scientific methodologies, and
builds bridges across multiple disciplines that can sharpen both our
theories and our impact. Submissions may be empirical, theoretical, or
position and survey papers, but should be grounded in clear claims,
strong evidence, and actionable insights.
Relevant topics include, but are not limited to:
• Rethinking progress and evaluation in NLP
For example, going beyond static leaderboards, including real-world
impact, trustworthiness, robustness, and longitudinal behavior; what
“generalization” should mean for humans vs models, and when models are
reused, adapted, and deployed in diverse settings, etc.
• From models to systems and ecosystems
For example, how does system-level research on agentic workflows, tool
use, and multi-model orchestration interface with human experiences;
and at an ecosystem level, how do people, organizations, and
communities use and interact with language technology.
• Scientific understanding of language and cognition
For example, using contemporary models as experimental instruments for
psycholinguistics, cognitive science, language acquisition, and field
linguistics; and what models reveal, and fail to reveal, about human
cognition, the nature of language, learning, and meaning.
• Data as a bottleneck and a responsibility
For example, research on data scarcity and limits, contamination, and
the consequences of synthetic data feedback loops, and new approaches
to data creation, documentation, governance, and consent.
• LLMs as research tools: AI in research
For example, rigorous studies of how LLMs can support the research
process in hypothesis generation, experiment design, analysis, and
peer review support tools without eroding scientific standards.
This special theme is intended to complement the breadth of EMNLP, not
narrow it. We encourage submissions that are ambitious in scope while
remaining concrete in claims and methodology, and that help the
community clarify what research looks like in the next chapter of NLP.
Two Stage Review: Submission to ARR, Commitment to EMNLP
EMNLP 2026 will use ACL Rolling Review (ARR) as a reviewing system,
but final decisions will be made by the conference. Both submissions
of articles for review and commitment of reviewed articles to the
conference will be performed via the Open Review platform.
Specifically, authors will follow a two-step process:
Authors submit articles to ARR, where submissions receive reviews and
meta-reviews from ARR reviewers and action editors;
Authors commit their reviewed articles to a publication venue (e.g.,
EMNLP 2026), where Senior Area Chairs and Program Chairs make
acceptance decisions from the ARR reviews and meta-reviews.
Authorship during commitment. During the commitment phase, it is not
allowed to modify the author list (i.e., addition/deletion of authors
is not allowed). However, modification of author order is possible.
EMNLP 2026 has chosen this approach in coordination with *CL 2026
conferences, which are adopting the same procedure and a coordinated
submission plan to allow maximum flexibility during their submission
periods for the authors. At each cycle, after a paper has been fully
reviewed, authors have the option to commit their paper to a
conference, or revise and resubmit for another round of reviews.
The reviewing process will continue to be double-blind. Reviewers will
not see authors, nor will authors see reviewers and reviews on ARR
will not be made publicly visible. However, authors will be given the
option through ARR to make their anonymized submitted articles
publicly visible.
Paper Submission Details
Both long and short paper submissions should follow all of the ARR
submission requirements, including:
Long Papers (8 pages) and Short Papers (4 pages)
Instructions for Two-Way Anonymized Review
Authorship
Citation and Comparison
Multiple Submission Policy, Resubmission Policy, and Withdrawal Policy
ACL’s Publication Ethics Policy, and ARR’s Ethics Policy including the
responsible NLP research checklist
ACL’s Disclosure Policy
Limitations
Writing Assistance
Paper Submission and Templates
Optional Supplementary Materials
Final versions of accepted papers will be given one additional page of
content (up to 9 pages for long papers, up to 5 pages for short
papers) to address reviewers’ comments.
Presentation at the Conference
All accepted papers must be presented at the conference to appear in
the proceedings. The conference will include both in-person and
virtual presentation options. Papers without at least one presenting
author registered by the early registration deadline may be subject to
rejection. Long and short papers will be presented orally or as
posters as determined by the program committee. While short papers
will be distinguished from long papers in the proceedings, there will
be no distinction in the proceedings between papers presented orally
and papers presented as posters.
Contact Information
General Chair:
André Martins, Instituto Superior Técnico, Universidade de Lisboa
Program Chairs:
Sunipa Dev, Google
Desmond Elliott, University of Copenhagen
Hung-yi Lee, National Taiwan University
Jessy Li, The University of Texas at Austin
For questions related to paper submission, and the review process in
general, email: editors(a)aclrollingreview.org
For questions about commitment and post review related topics, email:
emnlp2026-programchairs(a)googlegroups.com
We invite you to participate in our survey “Investigating the Use of
Large Language Models in Academic Research and Coding (LLM-ARCo)”🤖📚
The goal of this study is to better understand how researchers use large
language models in their academic work. The survey takes approximately
15 minutes⏱️. All responses are anonymous🔒, and the data will be used
only for research purposes.
As a small thank-you, 10 participants will be randomly selected🎁 to
receive a €50 Amazon voucher💶.
You can participate here:👉https://www.surveymonkey.com/r/RYBRXQL
<https://www.surveymonkey.com/r/RYBRXQL>
Please feel free to share this invitation with colleagueswho might be
interested 🔁👩🔬👨💻.Thank you very much for supporting our research! ❤️
On behalf of Dr. Younes,
Ansgar
** Call for Papers **
1st International Workshop on Science-Related Discourse on the Web
(SDW'26)
We are excited to announce the 1st International Workshop on
Science-Related Discourse on the Web (SDW’26), collocated with ACM Web
Science Conference 2026, 26-29 May, Braunschweig, Germany
In recent years, a growing number of people have been engaging in
science-related discussions on online platforms. This typically informal
and sometimes decontextualized discourse may result in
oversimplification, misinterpretation or instrumentalization of
scientific knowledge. Analyzing such discourse is challenging: it
differs from general online talk, spans multiple platforms, and requires
interdisciplinary methods.
This workshop provides a venue for interdisciplinary exchange on
computational and social scientific approaches and resources to
platform specific and cross platform analysis of science-related
communication.
***Workshop Themes***
- Methodological challenges related to the analysis of
science-related discourse on the Web, including data acquisition and
processing
- Insights concerning science-related discourse on the Web, e.g., its
characteristics, evolution, and impact
Topics of interest within these themes include, but are not limited to
the following:
- (Cross-platform-) crawling approaches for science-related discourse
- Methods for the detection and filtering of science-related online
discourse data
- Issues and methods related to tracking/linking of users and
messages within and across different platforms (e.g., X, Bluesky,
Mastodon, Threads)
- Practical/legal/ethical issues concerning data access
- Detection of arguments, claims, evidence, sources, or stances in
science-related online discourse data
- Classification of scientific claims w.r.t. verifiability,
credibility, or veracity (including distinguishing different types of
misinformation such as oversimplification)
- Analysis of science-related discourse on social media platforms and
in online news
- Assessment of the expertness of social media users (e.g.,
scientist, expert, lay person)
- Classification of sources w.r.t. credibility, political leaning,
and other biases
- Usage of social media platforms (e.g., X, Bluesky, Mastodon,
Threads) by different user groups
- Usage of memes in science-related discourse on social media
- Analysis of LLM-generated text in science-related discourse
- Usage of preprints and open access publications in science-related
Web discourse
***Submissions***
We invite contributions from Computer Science, Computational Social
Science, Communication Science, Science Communication, Media and
Communication Studies, Information Science, Computational Linguistics
and related fields. We accept both technical and non technical
submissions, including research papers (completed or in progress and
unpublished work), annotated datasets, questionnaires, novel data
collections, tools, and other resources. Emphasis is placed on
discussion and exchange of ideas, thus we welcome submissions of work in
progress.
- full papers (6 - 10 pages, including references, appendices, etc.),
- short papers (up to 5 pages including references, appendices,
etc.),
- extended abstracts for posters and demos (up to 2 pages including
references, appendices, etc.).
All accepted contributions except extended abstracts will be part of the
WebSci'26 workshop proceedings, which will be published in a companion
volume in the ACM Digital Library.
Submission of all papers is electronic, using the EasyChair conference
management system: https://easychair.org/conferences/?conf=sdw26
Please find more information on the workshop website:
https://sdw2026.wordpress.com/dates-and-submission/
***Important Dates***
Papers due: March 24, 2026
Paper notifications: April 3, 2026
Paper camera-ready versions due: April 14, 2026
Workshop: May 26, 2026