In this newsletter:
Membership year 2026 publication preview
Fall 2025 data scholarship recipients
New publications:
KAIROS Phase 2 Quizlet<https://catalog.ldc.upenn.edu/LDC2025T15>
BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09>
BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Transcripts and Translations<https://catalog.ldc.upenn.edu/LDC2025T14>
________________________________
Membership year 2026 publication preview
The 2026 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are:
* 2012 NIST Speaker Recognition Evaluation Test Set: 10,000+ hours of English conversational telephone speech following the Mixer collection protocol, used in NIST's 2012 speaker recognition evaluation
* KAIROS schema learning corpus background data and Phase 1 evaluation datasets: multimodal English and Spanish source data and annotations for reasoning about complex real-world events
* CALL MY NET 2: 800+ hours of Tunisian-Arabic conversational telephone speech from over 400 speakers to support text independent speaker recognition, used in the 2018 NIST Speaker Recognition Evaluation
* Multi-language conversational telephone speech: multiple releases, hundreds of hours of speech from speakers of confusable linguistic varieties (Arabic, Chinese, English, French, Slavic, Spanish) to support language identification
* CALLHOME Omnibus releases: combined speech and transcript datasets with updated directory structure, file formats and documentation, and lexicons (Chinese, English, German, Japanese, Spanish)
* IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Lithuanian, Pashto, Swahili, Tagalog)
Check your inbox for more information about membership renewal.
Fall 2025 data scholarship recipients
Congratulations to the recipients of LDC's Fall 2025 data scholarships:
Lasidu Dilshan: University of Moratuwa (Sri Lanka): BSc, Electronic and Telecommunication Engineering. Lasidu is awarded a copy of Asian Elephant Vocalizations LDC2010S05 for his work in elephant voice enhancement and classification.
Máté Gedeon: Budapest University of Technology and Economics (Hungary): PhD candidate, Department of Telecommunications and Artificial Intelligence. Máté is awarded a copy of Switchboard-1 Release 2 LDC97S62 for his work in simulated conversation generation.
Ping He: Northeastern University (USA): Student, Khoury College of Computer Sciences. Ping is awarded a copy of ETS Corpus of Non-Native Written English LDC2014T06 for their work in native language identification.
Thiyazen Iskander: Maulana Azad College of Arts, Science & Commerce (India), affiliated with Babasaheb Ambedkar Technological University (India): PhD candidate, Linguistics, Department of English. Thiyazen is awarded copies of Arabic Morphological Analyzer (SAMA) Version 3.1 LDC2010L01 and Arabic Treebank Part 1 v. 4.1 LDC2010T13 for his work in morphosyntactic analysis of short passives in Standard Arabic.
Michael Mooney: University of Glasgow (United Kingdom): PhD candidate, School of Computing Sciences. Michael is awarded copies of Treebank-2 LDC95T7 and BLLIP 1987-89 WSJ Corpus Release LDC2000T43 for their work in eye-tracking for text-centered modeling.
Abraham Sanders: Rensselaer Polytechnic Institute (USA): PhD candidate, Cognitive Science. Abraham is awarded a copy of Switchboard-1 Release 2 LDC97S62 for his work in spoken dialogue systems.
________________________________
New publications:
KAIROS Phase 2 Quizlet<https://catalog.ldc.upenn.edu/LDC2025T15> was developed by LDC and contains English and Spanish text, video and image data, and annotations used for pre-evaluation research and system development during Phase 2 of the DARPA KAIROS program. KAIROS Quizlets were a series of narrowly defined tasks designed to explore specific evaluation objectives enabling KAIROS system developers to exercise individual system components on a small data set prior to the full program evaluation. This corpus contains the complete set of Quizlet data used in Phase 2 which focused on five real-world complex events within the Disease Outbreak scenario.
Source data was collected from the web; 66 root web pages were collected and processed, yielding 65 text data files, 890 image files and 10 video files. Annotation steps included labeling scenario-relevant events and relations for each document to develop a structured representation of temporally ordered events, relations and arguments; generating a reference knowledge graph; and linking labeled entries to a knowledge base derived from a Wikidata-based ontology.
The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus.
2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
*
BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09> was developed by LDC and consists of 116 hours of speech from 274 unscripted telephone conversations between native speakers of the Arabic dialect spoken in Egypt. The calls were collected by LDC in the CALLFRIEND and CALLHOME series where participants called family members or close friends and spoke on topics of their choice. Around 33% of the recordings (92 calls) are publicly released for the first time. The remaining 182 recordings were previously published by LDC in various CALLFRIEND, CALLHOME, and HUB5 Arabic datasets.
The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, conversational telephone speech, text messaging, and chat -- in Chinese, Egyptian Arabic, and English. The material in this release represents the unannotated Egyptian Arabic source conversational telephone speech. The telephone data was transcribed, translated, and annotated for various tasks in the BOLT program including word alignment, treebanking, and co-reference.
2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
*
BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Transcripts and Translations<https://catalog.ldc.upenn.edu/LDC2025T14> contains transcripts and corresponding English translations for the conversational telephone speech in BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09> and was developed by LDC to support the DARPA BOLT program.
Transcribers were required to produce a verbatim transcript of all speech within a file using the CODA<https://aclanthology.org/L12-1328/> orthographic approach; diacritics were not included. Some transcripts contain redactions for potential personally identifying information. All speech data was transcribed and is divided into training, development, and evaluation partitions.
The goal of the BOLT translation task was to translate the Arabic transcripts into fluent English while preserving the meaning present in the original Arabic text. Transcripts in the development and evaluation partitions received first pass and gold standard translations. 99% of the transcripts were translated into English.
2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.
Membership Coordinator
Linguistic Data Consortium<ldc.upenn.edu>
University of Pennsylvania
T: +1-215-573-1275
E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu>
M: 3600 Market St. Suite 810
Philadelphia, PA 19104
Call for Papers - AbjadNLP 2026
The 2nd Workshop on NLP for Languages Using Arabic Script
Rabat, Morocco (in-person)
Co-located with EACL 2026
_https://wp.lancs.ac.uk/abjad/_ [1]_ _
AbjadNLP 2026 invites submissions on all aspects of Natural Language
Processing (NLP) for Arabic-script languages, including Arabic and its
dialects, Perso-Arabic languages, and Ajami traditions across Africa and
Asia. Building on the success of AbjadNLP 2025 at COLING, the 2026
edition will be held in Rabat, Morocco, co-located with EACL.
The workshop provides a platform for research in Arabic NLP -- covering
Modern Standard Arabic, Classical Arabic, and dialectal varieties --
while also supporting work on related languages such as Persian, Urdu,
Pashto, Kurdish, Azeri Turkish, Ottoman Turkish, Sindhi, Uyghur, and
African Ajami languages (e.g. Hausa, Fula, Wolofal, Swahili, Kanuri,
Mandingo, and Tamazight).
We welcome contributions on all NLP topics, including morphological
analysis, parsing, translation, LLM adaptation, resources and corpora,
code-switching, sociolinguistic analysis, and low-resource methods.
Submission Deadlines:
Direct submissions: 8 January 2026
ARR submissions: 10 January 2026
Notification: 24 January 2026
Camera-ready: 3 February 2026
Workshop: 24-29 March 2026 (TBC)
AbjadNLP 2026 follows the EACL 2026 submission and formatting
guidelines. Templates are available at
https://github.com/acl-org/acl-style-files [2].
General Chair: Dr Mo El-Haj (VinUniversity & Lancaster University)
More information: https://wp.lancs.ac.uk/abjad/ [3]
--
Amal Haddad Haddad (She/her)
Ayudante doctora
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:
------
[1] https://wp.lancs.ac.uk/abjad/
[2]
https://urldefense.com/v3/__https:/github.com/acl-org/acl-style-files__;!!D…
[3]
https://urldefense.com/v3/__https:/wp.lancs.ac.uk/abjad/__;!!D9dNQwwGXtA!Xa…
Dear all,
Please feel free to share this with your contacts.
I am seeking motivated students for a fully funded 4-year PhD in Social NLP. Social NLP is an emerging interdisciplinary field that combines natural language processing (NLP) and social computing.
The scope of doctoral thesis proposals (but is not restricted to) is based on the following topics:
- Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.)
- Disaster Management Using Social Media
- Explainable AI in Social NLP
Why the University of Tartu<https://ut.ee/en>?
- The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. The University of Tartu is known for its high-quality studies and research. The unique intellectual atmosphere and fine living and working environment that characterise Tartu have attracted prominent scientists and experts for almost 390 years.
- As of 2025, the University of Tartu belongs to the top 1% of the world's universities.
- The University of Tartu is the strongest research university in Estonia. We belong to various networks of renowned research universities, such as ENLIGHT, the Coimbra Group, LERU, etc.
- Here, 13 000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity.
- Estonia is famous for its digital society and has the highest number of startups per capita in Europe. Estonia is famous for its digital innovations, and it is home to many startups like Skype, Transferwise, and Bolt to name a few.
Scholarship:
- Scholarship approximately 2300 Euro/month gross amount.
- Covers health insurance
- Additional benefits: Travel grant for attending conferences and workshops, etc.
If you are interested, please drop me an email (somnath.banerjee(a)ut.ee) with the following:
- CV which must include:
- final year undergraduate/graduate project (brief description: max 150 words)
- pursued relevant subjects at undergraduate and/or Master level (if any)
- relevant work experience (if any)
- publications (if any)
- The name and email contacts of academic referees(optional)
Please Note:
* Master-level students, who are in their final semester, can also apply.
* Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them.
* Do not send academic certificates, motivation letters, letters of recommendation, etc.
*
Upon initial selection based on CVs, additional documents (such as motivation letters, certificates) will be requested for further processing.
For queries: If you need more information, please contact me with the subject line "SocialNLP: PhD position queries".
Kind regards,
Somnath Banerjee
Assistant Professor,
Chair of NLP,
Institute of Computer Science,
University of Tartu,
51009 Tartu, ESTONIA
SIGHUM (LaTeCH-CLfL) 2026
The 10th Joint SIGHUM Workshop on Computational Linguistics
for Cultural Heritage, Social Sciences, Humanities and Literature
to be held at EACL in March 2026 in Rabat, Morocco
as a two-day workshop with one on-site and one online day
First Call for Papers (with apologies for cross-posting)
Organizers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb,
Anna Kazantseva, Janis Pagel, Stan Szpakowicz
SIGHUM (LaTeCH-CLfL) 2026 is the tenth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual events which also host the SIGHUM business meetings.
Workshop site
https://sighum.wordpress.com/events/sighum-latech-clfl-2026/
Important dates
Submission deadline: January 5th, 2026
Notification of acceptance: February 3rd, 2026
Camera-ready paper due: February 10th, 2026
Description
The community of the broadly understood Digital Humanities (DH) has witnessed remarkable growth and transformation, fueled by the rapid advancements in NLP. There is a steady interest in, and a high demand for, NLP methods of semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of primary and secondary data. Even so, the heterogeneous landscape of the DH with their diverse, often multi-lingual or multi-modal sources can be a challenge for NLP. Consider, for example, the growing interest in historical language data and in under-resourced languages.
There are unique obstacles in developing comprehensive language models in aid of the linguistic diversity in DH. The handling of noisy and non-standard data, and the need for domain adaptation and intensive annotation, continue to be at the forefront of research effort in the community. The literary studies, which have witnessed substantial progress in the application of NLP methods, bring their own similar problems. Navigating forms of creative expression requires more than the typical information-seeking tools. A case in point might be the study of literature of a certain period, author or sub-genre, the recognition of certain literary devices, or the quantitative analysis of poetry.
The emergence of Large Language Models (LLMs) expands the DH toolkit. There is support for automatic text cleaning and annotation, creation of semantic resources, analysis of narrative, genre and literary style, and linking information across sources. LLMs can support historical or low-resource languages, particularly when complemented with domain-specific fine-tuning and careful evaluation. One must note, however, that even with careful adaptation, curation and attention to interpretability, LLM outputs remain prone to errors, biases and lack of transparency; that requires rigorous assessment to ensure their suitability for scholarly research.
There is growing emphasis on the importance of explanation in NLP models. That applied equally to DH, whose various domains enjoy the effect of NLP. Transparency and clarity of the results are critical if one is to accept the processed data, and gain valuable insights. That is why one must carefully consider a balance between raw performance scores and interpretability, in keeping with the specific research objectives.
For many years now, this broad research context has drawn together NLP experts, data specialists and researchers in Digital Humanities who work in and across their domains. Our long-standing series of workshops has shown that cross-disciplinary exchange supports work in the Humanities, Social Sciences and Cultural Heritage communities. It encourages the Computational Linguistics community to build rich, effective tools and, above all, interpretable models.
Topics
Our workshops attract original work on a wide variety of topics, including – but as usual not restricted to – these:
adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature;
automatic error detection and cleaning of textual data;
complex annotation schemas, tools and interfaces;
creation (fully- or semi-automatic) of semantic resources;
creation and analysis of social networks of literary characters;
discourse and narrative analysis/modelling, notably in literature;
emotion analysis for the humanities and for literature;
generation of literary narrative, dialogue or poetry;
identification and analysis of literary genres;
information/knowledge modelling in the Humanities, Social Sciences and Cultural Heritage;
interpretability of large language models output for DH-related tasks (explainable AI);
linking and retrieving information from different sources, media, and domains;
low-resource and historical language processing;
modelling dialogue literary style for generation;
profiling and authorship attribution;
search for scientific and/or scholarly literature;
work with linguistic variation and non-standard or historical use of language
Information for authors
We invite papers on original, unpublished work in the topic areas of the workshop. We will consider long papers, short papers and system descriptions (demos). We also welcome position papers.
Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account.
A short paper / demo presenting work in progress or the description of a system may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings.
A position paper — clearly marked as such — should not exceed eight (8) pages including references.
All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and MS Word) available at https://github.com/acl-org/acl-style-files <https://github.com/acl-org/acl-style-files>. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL 2026 submission website on the SoftConf pages (we will publish the link as soon as we have it).
Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Please keep references to your own work at a reasonable minimum, and do not use anonymous citations.
In accordance with the EACL 2026 policy on multiple submission, we will not consider any paper that is under review in a journal or another conference at the time of submission. During the review period, papers submitted to our workshop cannot also be submitted elsewhere.
Stefania Degaetano-Ortlieb
Associate Professor
Universität des Saarlandes
Language Science and Technology
Campus A2.2, 1.06
66123 Saarbrücken
Tel.: ++49 681 302 70077
E-Mail: s.degaetano(a)mx.uni-saarland.de
www.stefaniadegaetano.com
This is a reminder that the deadline to submit tutorial proposals for
EACL'26 & ACL'26 is coming soon: October 20, 2025!
* Cutting-edge tutorials in CL/NLP: covering recent advances in emerging
areas not previously addressed in tutorials at EACL, NAACL-HLT, ACL, or
EMNLP
* Introductory tutorials in related fields: offering overviews of
disciplines potentially relevant to the CL/NLP community, such as
linguistics, bioinformatics, machine learning, human-computer
interaction, or applications of large language models in non-English
languages.
More information:
https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026
[1]
Links:
------
[1]
https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026
**1st CALL FOR PAPERS**
22nd Workshop on Multiword Expressions (MWE 2026)
https://multiword.org/mwe2026/
Organized, sponsored, and endorsed by SIGLEX, the Special Interest Group on
the Lexicon of the ACL, and by UniDive <https://unidive.lisn.upsaclay.fr>
Cost Action CA21167
Half-day workshop collocated with the 19th Conference of the European
Chapter of the Association for Computational Linguistics (EACL 2026,
https://2026.eacl.org/), Rabat, Morocco.
Hybrid (on-site & on-line)
*******************************************
Important Dates
-
Direct Submission deadline: December 19, 2025
-
Pre-reviewed (ARR) submission deadline: January 2, 2026
-
Notification of acceptance: January 23, 2026
-
Camera-ready paper due: February 3, 2026
-
Workshop dates: March 24-29, 2026
All deadlines are at 23:59 UTC-12 (Anywhere on Earth).
*******************************************
Multiword expressions (MWEs), i.e., word combinations that exhibit lexical,
syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin
and Kim, 2010), such as “by and large”, “hot dog”, “make a decision” and
“break one's leg” are still a pain in the neck for Natural Language
Processing (NLP). The notion of MWE encompasses closely related phenomena:
idioms, compounds, light-verb constructions, phrasal verbs, rhetorical
figures, collocations, institutionalized phrases, etc. Given their
irregular nature, MWEs often pose complex problems in linguistic modeling
(e.g., annotation), NLP tasks (e.g., parsing), and end-user applications
(e.g., natural language understanding and Machine Translation), hence still
representing an open issue for computational linguistics (Miletić and
Schulte im Walde, 2024; Ramisch et al., 2023; Phelps et al., 2024; Mahajan
et al., 2024).
For more than two decades, the topic of modeling and processing MWEs for
NLP has been the focus of the MWE workshop, organized by the MWE section
<https://multiword.org/> of ACL-SIGLEX <http://www.siglex.org/> in
conjunction with major NLP conferences since 2003. Impressive progress has
been made in the field, but our understanding of MWEs still requires much
research, considering their need and usefulness in NLP applications. This
is also relevant to domain-specific NLP pipelines that need to tackle
terminologies most often realized as MWEs.
Topics of interest include, but are not limited to:
-
Computationally-applicable theoretical work in psycholinguistics and
corpus linguistics;
-
Annotation (expert, crowdsourcing, automatic) and representation in
resources such as corpora, treebanks, e-lexicons, WordNets, constructions
(also for low-resource languages);
-
Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG,
LFG, TAG, UD, etc.);
-
Discovery and identification methods, including for specialized
languages and domains such as clinical or biomedical NLP;
-
Interpretation of MWEs and understanding of text containing them;
-
Language acquisition, language learning, and non-standard language (e.g.
tweets, speech);
-
Evaluation of annotation and processing techniques;
-
Retrospective comparative analyses from the PARSEME shared tasks;
-
Processing for end-user applications (e.g. MT, NLU, summarisation,
language learning, etc.);
-
Implicit and explicit representation in pre-trained language models and
end-user applications;
-
Evaluation and probing of pre-trained language models;
-
Resources and tools (e.g. lexicons, identifiers) and their integration
into end-user applications;
-
Multiword terminology extraction;
-
Adaptation and transfer of annotations and related resources to new
languages and domains including low-resource ones.
Co-located Shared tasks
The workshop MWE 2026 will host two shared tasks
<https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st…>
:
-
PARSEME 2.0, whose objective is to identify and paraphrase MWEs in
written text, and
-
AdMIRe 2 (Advancing Multimodal Idiomaticity Representation), which explores
the comprehension ability of multimodal models for MWEs in a variety of
languages.
Submission formats
The workshop invites two types of submissions:
-
archival submissions that present substantially original research in
both long paper format (8 pages + references) and short paper format (4
pages + references).
-
non-archival submissions of abstracts describing relevant research
presented/published elsewhere, which will not be included in the MWE
proceedings.
Paper submission and templates
Papers should be submitted via the workshop's submission page
<https://openreview.net/group?id=eacl.org/EACL/2026/Workshop> (
https://openreview.net/group?id=eacl.org/EACL/2026/Workshop). Please choose
the appropriate submission format (archival/non-archival). Archival papers
with existing reviews will also be accepted through the ACL Rolling Review.
Submissions must follow the ACL stylesheet
<https://github.com/acl-org/acl-style-files>.
Authors are encouraged, wherever relevant, to adopt the conventions on
citing, glossing and translating multilingual examples of MWEs
<https://gitlab.com/parseme/pmwe/-/blob/master/Conventions-for-MWE-examples/…>
promoted by the editors of the Phraseology and Multiword Expressions book
series <https://langsci-press.org/catalog/series/pmwe> published by
Language Science Press.
Organizing Committee
Verginica Barbu Mititelu, A. Seza Doğruöz, Alexandre Rademaker, Atul Kr.
Ojha, Mathieu Constant, Ivelina Stoyanova
Anti-harassment policy
The workshop follows the ACL anti-harassment policy.
Contact
For any inquiries regarding the workshop, please send an email to the
Organizing Committee at mwe2026workshop(a)gmail.com.
NEJLT, the Northern European Journal of Language Technology<https://www.nejlt.org/>, is looking for one or more volunteers to act as assistant editor(s) for the journal.
What is NEJLT?
NEJLT is a gold open-access journal on language technology and computational linguistics research with a global focus. We explicitly welcome submissions from anywhere in the world and on any language; if a paper would be suitable for a *ACL conference, it is suitable for NEJLT. Papers published in NEJLT also appear on the ACL Anthology.
The motivation for NEJLT<https://www.nejlt.org/about/> in its current form is, in a nutshell, to offer an additional publication venue outside the usual conference cycles with a journal-style review process and fast turnaround times.
Who is NEJLT looking for?
As an assistant editor for NEJLT, your task would be to help with:
* finding and contacting suitable action editors when a new submission is made
* identifying submissions that require attention from action editors and sending out reminders
* checking camera-ready versions before publication
* advertising newly published papers on social media
Finding, contacting, and recruiting suitable volunteers, such as those who can take over a new submission as action editor, is currently the most time-consuming task and the journal’s biggest bottleneck. All of this is currently handled by me in my role as the elected NEALT editor-in-chief, but after 21 months of running the journal, it is clear to me that NEJLT will not work in its intended form without spreading the load across more people. Therefore, I am looking for motivated volunteers who like to improve the journal’s operations together with me.
How active is NEJLT?
Between January 1st and September 30th of 2025, NEJLT has handled 18 submissions. Out of these submissions:
* 2 are currently still awaiting their first decision
* 2 were desk-rejected (wrong template/out of scope)
* 2 received a reject decision after reviews
* 1 was withdrawn by the authors
* 10 received a decision of major or minor edits
* 1 was published
The average time until a first decision (not counting desk rejections, withdrawn papers, or revisions) in this period was 78.5 days. However, the variance here is rather high: the quickest decision was taken after 39 days, while the longest took 190 days. This is mainly due to delays in assigning action editors and reviewers, and is also the reason I have not more actively advertised the journal in the past two years.
I might be interested in volunteering, what do I do?
If you are interested in volunteering for NEJLT, please don’t hesitate to send me an e-mail! I am happy to answer any questions you might have or arrange a Zoom call to discuss this further.
Please share this information with anyone who might be interested! You can also share it via this post on our website: https://www.nejlt.org/post/asst-editor-wanted/
Best regards,
Marcel Bollmann
--
Marcel Bollmann, Dr. phil.
Associate Professor in Natural Language Processing
Department of Computer and Information Science, Linköping University, Sweden
www: https://marcel.bollmann.me/
*** First Combo Call for Workshop Papers ***
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/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue
for researchers and practitioners to explore advancements at the intersection of Artificial
Intelligence (AI) and Human-Computer Interaction (HCI).
IUI 2026 attracted a record number of submissions for the main conference (561 full
paper submissions after an initial submission of 697 abstracts). Although the submission
deadline for the main conference is now over, we welcome the submission of papers to
a number of workshops that will be held as part of IUI 2026.
A list of these workshops, with a short description and the workshops' websites for
further information, follows below.
AgentCraft: Workshop on Agentic AI Systems Development (full-day workshop)
Organizers: Karthik Dinakar (Pienso), Justin D. Weisz (IBM Research), Henry Lieberman
(MIT CSAIL), Werner Geyer (IBM Research)
URL: https://agentcraft-iui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
Ambitious efforts are underway to build AI agents powered by large language models
across many domains. Despite emerging frameworks, key challenges remain: autonomy,
reasoning, unpredictable behavior, and consequential actions. Developers struggle to
comprehend and debug agent behaviors, as well as determine when human oversight is
needed. Intelligent interfaces that enable meaningful oversight of agentic plans,
decisions, and actions are needed to foster transparency, build trust, and manage
complexity. We will explore interfaces for mixed-initiative collaboration during agent
development and deployment, design patterns for debugging agent behaviors, strategies
for determining developer control and oversight, and evaluation methods grounding
agent performance in real-world impact.
AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems
(full-day workshop)
Organizers: Tim Schrills (University of Lübeck), Patricia Kahr (University of Zurich),
Markus Langer (University of Freiburg), Harmanpreet Kaur (University of Minnesota),
Ujwal Gadiraju (Delft University of Technology)
URL: https://sites.google.com/view/aichaos/iui-2026?authuser=0<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
As AI permeates high-stakes domains—healthcare, autonomous driving, criminal justice
—failures can endanger safety and rights. Human oversight is vital to mitigate harm, yet
methods and concepts remain unclear despite regulatory mandates. Poorly designed
oversight risks false safety and blurred accountability. This interdisciplinary workshop
unites AI, HCI, psychology, and regulation research to close this gap. Central questions
are: How can systems enable meaningful oversight? Which methods convey system states
and risks? How can interventions scale? Through papers, talks, and interactive
discussions, participants will map challenges, define stakeholder roles, survey tools,
methods, and regulations, and set a collaborative research agenda.
CURE 2026: Communicating Uncertainty to foster Realistic Expectations via Human-
Centered Design (half-day workshop)
Organizers: Jasmina Gajcin (IBM Research), Jovan Jeromela (Trinity College Dublin), Joel
Wester (Aalborg University), Sarah Schömbs (University of Melbourne), Styliani Kleanthous
(Open University of Cyprus), Karthikeyan Natesan Ramamurthy (IBM Research), Hanna
Hauptmann (Utrecht University), Rifat Mehreen Amin (LMU Munich)
URL: https://cureworkshop.github.io/cure-2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
Communicating system uncertainty is essential for achieving transparency and can help
users calibrate their trust in, reliance on, and expectations from an AI system. However,
uncertainty communication is plagued by challenges such as cognitive biases, numeracy
skills, calibrating risk perception, and increased cognitive load, with research finding that
lay users can struggle to interpret probabilities and uncertainty visualizations.
HealthIUI 2026: Workshop on Intelligent and Interactive Health User Interfaces
(half-day workshop)
Organizers: Peter Brusilovsky (University of Pittsburgh), Behnam Rahdari (Stanford
University), Shriti Raj (Stanford University), Helma Torkamaan (TU Delft)
URL: https://healthiui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
As AI transforms health and care, integrating Intelligent User Interfaces (IUI) in wellness
applications offers substantial opportunities and challenges. This workshop brings
together experts from HCI, AI, healthcare, and related fields to explore how IUIs can
enhance long-term engagement, personalization, and trust in health systems. Emphasis
is on interdisciplinary approaches to create systems that are advanced, responsive to
user needs, mindful of context, ethics, and privacy. Through presentations, discussions,
and collaborative sessions, participants will address key challenges and propose
solutions to drive health IUI innovation.
MIRAGE: Misleading Impacts Resulting from AI-Generated Explanations (full-day
workshop)
Organizers: Simone Stumpf (University of Glasgow), Upol Ehsan (Northeastern University),
Elizabeth M. Daly (IBM Research), Daniele Quercia (Nokia Bell Labs)
URL: https://mirage-workshop.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
Explanations from AI systems can illuminate, yet they can misguide. MIRAGE at IUI
tackles pitfalls and dark patterns in AI explanations. Evidence now shows that
explanations may inflate unwarranted trust, warp mental models, and obscure power
asymmetries—even when designers intend no harm. We classify XAI harms as Dark
Patterns (intentional, e.g., trust-boosting placebos) and Explainability Pitfalls
(unintended effects without manipulative intent). These harms include error propagation
(model risks), over-reliance (interaction risks), and false security (systemic risks). We
convene an interdisciplinary group to define, detect, and mitigate these risks. MIRAGE
shifts focus to safe explanations, advancing accountable, human-centered AI.
PARTICIPATE-AI: Exploring the Participatory Turn in Citizen-Centred AI (half-day
workshop)
Organizers: Pam Briggs (Northumbria University), Cristina Conati (University of British
Columbia), Shaun Lawson (Northumbria University), Kyle Montague (Northumbria
University), Hugo Nicolau (University of Lisbon), Ana Cristina Pires (University of Lisbon),
Sebastien Stein (University of Southampton), John Vines (University of Edinburgh)
URL: https://sites.google.com/view/participate-ai/workshop<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
This workshop explores value alignment for participatory AI, focusing on interfaces and
tools that bridge citizen participation and technical development. As AI systems
increasingly impact society, meaningful and actionable citizen input in their development
becomes critical. However, current participatory approaches often fail to influence actual
AI systems, with citizen values becoming trivialized. This workshop will address
challenges such as risk articulation, value evolution, democratic legitimacy, and the
translation gap between community input and system implementation. Topics include
value elicitation within different communities, critical analysis of failed participatory
attempts, and methods for making citizen concerns actionable for developers.
SHAPEXR: Shaping Human-AI-Powered Experiences in XR (full-day workshop)
Organizers: Giuseppe Caggianese (National Research Council of Italy, Institute for High-Performance Computing and Networking Napoli), Marta Mondellini (National Research Council of Italy, Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, Lecco), Nicola Capece (University of Basilicata), Mario Covarrubias (Politecnico di Milano), Gilda Manfredi (University of Basilicata)
URL: https://shapexr.icar.cnr.it<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
This workshop explores how eXtended Reality (XR) can serve as a multimodal interface
for AI systems, including LLMs and conversational agents. It focuses on designing
adaptive, human-centered XR environments that incorporate speech, gesture, gaze, and
haptics for seamless interaction. Main topics include personalization, accessibility,
cognitive load, trust, and ethics in AI-driven XR experiences. Through presentations,
discussions, and collaborative sessions, the workshop aims to establish a subcommunity
within IUI to develop a roadmap that includes design principles and methodologies for
inclusive and adaptive intelligent interfaces, enhancing human capabilities across various
domains, such as healthcare, education, and collaborative environments.
TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User
Interfaces (full-day workshop)
Organizers: Toby Jia-Jun Li (University of Notre Dame), Segev Shlomov (IBM Research),
Xiang Deng (Scale AI), Ronen Brafman (Ben-Gurion University of the Negev), Avi Yaeli
(IBM Research) Zora (Zhiruo) Wang (Carnegie Mellon University)
URL: https://sites.google.com/view/trust-cuaiui26/home<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…>
Computer-Using Agents (CUAs) are moving from point automations to generalist agents
acting across GUIs, browsers, APIs, and CLIs—raising core IUI questions of trust,
predictability, and control. This workshop advances trustworthy-by-design CUAs
through human-centered methods: mixed-initiative interaction, explanation and
sensemaking, risk/uncertainty communication, and recovery/rollback UX. Outcomes
include (1) a practical TRUST-CUA checklist for oversight, consent, and auditing, (2) a
user-centered evaluation profile (“CUBench-IUI,” e.g., predictability, oversight effort,
time-to-recovery, policy-aligned success), and (3) curated design patterns and open
challenges for deployable, accountable agentic interfaces.
Important Dates
• Paper Submission: 19 December, 2025
• Notification: February 2, 2026
All dates are 23:59h AoE (anywhere on Earth).
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
Workshop and Tutorial Chairs
• Karthik Dinakar, Pienso Inc, USA
• Werner Geyer, IBM Research, USA
• Patricia Kahr, Eindhoven University of Zurich, Switzerland
• Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria
BCS Search Industry Awards 2025
We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2025. Presented by the Information Retrieval Specialist Group of the BCS <https://www.bcs.org/membership-and-registrations/member-communities/informa…>, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services. If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> today.
Categories
This year we are offering four awards:
Best Search Project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include:
Datafari Enterprise Search <https://www.datafari.com/en/index.html>, an open-source end-to-end solution covering the needs of enterprise search scenarios
Wikiframe Visual Graph <https://wikiframe.library.unlv.edu/>, a search capability for Special Collections data stored on Wikidata
CiteSeerX <https://citeseerx.ist.psu.edu/>, one of the largest open-source academic search engines with over 10 million documents
Search Professional of the Year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include:
Jayaprakash Sundararaj <https://www.linkedin.com/in/osjayaprakash/>, Lead Engineer at Google
Amey Porobo Dharwadker <https://ameydhar.com/>, Machine Learning Tech Lead Manager at Meta
Adam Tocock <https://www.whittington.nhs.uk/mini-apps/staff/profile/?id=2478>, Library Assistant at NHS
Most promising Start-up (or new Enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include:
deepset.ai <http://deepset.ai/>, a leader in framework and platform technology that accelerates AI application development with large language models (LLMs); and the creator of the Haystack open-source framework
batteryincluded.ai <http://batteryincluded.ai/>, First BI Product Discovery Framework incl. 3 pillars for highest relevance within global product listings
Giotto AI <https://www.giotto.ai/>, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report
Best Presentation at Search Solutions Previous winners include:
Taketomo Isazawa, Microsoft Research: “Beyond RAG: Integrating Knowledge with LLMs"
Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”.
Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation”
The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…>!
Judging Panel
Winners will be selected by our panel of judges (details to be announced shortly).
Awards Ceremony
The awards ceremony will take place during Search Solutions 2025 <https://www.bcs.org/membership-and-registrations/member-communities/informa…>.
Apply
We’ve designed the application process <https://docs.google.com/forms/d/e/1FAIpQLSfxTx0oN3xCRcy1rgktug-k4e8kmVvvLQL…> to be simple to complete. If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa… <https://www.bcs.org/membership-and-registrations/member-communities/informa…>
Nominations will remain open until 31st October 2025.
Contact
If you have any questions on the above, please contact the Awards Chair at udo.kruschwitz(a)ur.de <mailto:udo.kruschwitz@ur.de> with a copy to the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com <mailto:tgr2uk+irsg@gmail.com>
About IRSG
The IRSG is a Specialist Group of BCS <https://www.bcs.org/>. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources.
BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.