[Apologies for cross-posting]
== Second Call for Papers and Extended Abstracts ==
1st Workshop on Automatic Assessment of Atypical Speech (AAAS-2025)
We would like to invite you to submit papers to AAAS workshop co-located with NoDaLiDa/Baltic-HLT<https://www.nodalida-bhlt2025.eu> in Hestia Hotel Europa in Tallinn, Estonia on March 5th, 2025.
Workshop website: https://teflon.aalto.fi/aaas-2025/
== Important Dates ==
Submission DL: 16 December 2024 (both papers and abstracts)
Notification of acceptance: 24 January 2025
Camera-ready DL: 3 February 2025
Workshop: 5 March 2025 (full day)
All deadlines are 11:55PM UTC-12:00 ("anywhere on Earth").
== Overview ==
Automatic Assessment of Atypical Speech (AAAS) explores the assessment of pronunciation and speaking skills of children, language learners, people with speech sound disorders and methods to provide automatic rating and feedback using automatic speech recognition (ASR) and large language models (LLMs). Automatic speaking assessment (ASA) is a rapidly growing field that answers to the need of developing AI tools for self-practising second and foreign language skills. This is not limited to pronunciation assessment, but the AI tools can also provide more complex feedback about fluency, vocabulary and grammar of the recorded speech. ASA is also very relevant for detection and quantification of speech disorders and for developing speech exercises that can be performed independent of time and place. The important applications of non-standard speech also include interfaces for children and elderly speakers as an alternative to using text input and output. The topic is timely, because the latest large speech models allow us now to develop ASR and classification methods for low-resourced data, such as atypical speech, where annotated training datasets are rarely available and expensive and difficult to produce and share. The goal of this workshop is to present the latest results in ASA and discuss the future work and collaboration between the researchers in Nordic and Baltic countries.
== Topics of Interest ==
In particular, we would like to invite students, researchers, and other experts and stakeholders to contribute papers and/or join the discussion on the following (and related) topics:
Automatic speaking assessment (ASA) for L2 (second or foreign language) pronunciation
ASA for spoken L2 proficiency
ASA for speech sound disorders (SSD)
Automatic speech recognition (ASR) for L2 learners
ASR for children and young L2 learners
ASA and ASR for Nordic and other low-resource languages and tasks
Spoken L2 learning and speech therapy using games
Automatic generation of verbal feedback for spoken L2 learners using LLMs
== Submission Details ==
We accept both short and long papers, as well as demo papers. The submissions must describe original and unpublished work.
Paper length:
Short and demo papers up to 4 pages.
Long papers up to 8 pages.
References are not included in the page count, and the camera-ready versions of accepted papers will be added to the page to address reviewer comments.
Papers should describe original unpublished work or work-in-progress and will be peer-reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be published in the ACL anthology. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word. The links to the templates can be found here:
https://drive.google.com/file/d/1osWGzuRnYRQGRS70Lx_pdQKrIT-NefKS/viewhttps://www.overleaf.com/latex/templates/instructions-for-nodalida-baltic-h…
The submission will be through EasyChair:
https://easychair.org/conferences/?conf=aaas2025
We also invite submissions of maximum 2-page long extended non-anonymous abstracts with any number of pages for references describing work in progress, negative results and opinion pieces. The abstracts, which should follow the same formatting templates as the peer-reviewed papers, will be considered for presentation by the workshop organisers and the accepted ones will be posted on the workshop website. The abstracts can be based on results related to our theme and already published elsewhere. The abstracts will not be published in the proceedings, but only in the workshop program.
Please also consider volunteering to review 2-3 papers.
== Invited Speakers ==
We have the pleasure to announce two invited speakers:
1. Nina R. Benway: What is so hard about AI Speech Therapy? Evidence from Efficacy Trials.
Nina R Benway, PhD CCC-SLP, is a Postdoctoral Fellow in Electrical and Computer Engineering with Dr. Carol Espy-Wilson. Nina completed her doctoral training in speech-language pathology (concentration: neuroscience) with Dr. Jonathan Preston at Syracuse University, focusing on clinical trials in children with chronic rhotic speech sound disorders. The three studies of her dissertation resulted in the curation of an open-access 175,000-utterance speech corpus, the engineering of audio classification algorithms predicting speech-language pathologist perception of rhotic speech errors, and the clinical trial validation of an artificial intelligence tool that fully automates a speech sound treatment session. Nina’s doctoral training builds upon her undergraduate training in linguistics (acoustic phonetics) at Cornell University, graduate clinical training at The College of Saint Rose, and six years of clinical practice. Through these experiences Nina has refined a multidisciplinary skill set in speech science, speech signal processing, natural language processing, corpus phonetics, machine learning/artificial intelligence (AI), user interface development, cognitive frameworks of learning, and neurocomputational frameworks of speech production.
2. Ari Huhta: Automatic assessment of second/foreign language speaking: Review of developments for examination and teaching/learning purposes.
Ari Huhta is a Professor of Language Assessment at the Centre for Applied Language Studies, University of Jyväskylä, Finland. His research interests include diagnostic foreign/second language (L2) assessment, computerised assessment, self-assessment, as well as the development of reading, writing and vocabulary knowledge in L2. He was involved in developing the large-scale multilingual DIALANG online assessment and feedback system in the early 2000s and since then he has specialised in assessments that support language learning. Although his research has focused on learning and assessing reading and writing, he has been involved in designing several rating scales for speaking and in evaluating rating quality and studying rater behavior. Recently, he has participated in research projects that are developing ASR and automated assessment of L2 speaking, as well as using LLMs to evaluate Finnish L2 learners’ proficiency level.
== Organizers ==
Mikko Kurimo (chair), Aalto University, mikko.kurimo(a)aalto.fi
Giampiero Salvi, NTNU
Sofia Strömbergsson, Karolinska Institutet
Sari Ylinen, Tampere University
Minna Lehtonen, University of Turku
Tamas Grosz, Aalto University
Ekaterina Voskoboinik, Aalto University
Yaroslav Getman, Aalto University
Nhan Phan, Aalto University
This workshop is supported by “Technology-enhanced foreign and second-language learning of Nordic languages (TEFLON)” https://teflon.aalto.fi/ NordForsk project nr. 103893.
== Contact Information ==
For questions and comments, please email mikko.kurimo(a)aalto.fi
The Images and Contents team [1] of the L3i lab at La Rochelle
University, invites researchers who have or will have a PhD degree at
the call deadline in September 2025 and fulfill the eligibility criteria
to prepare a joint application for an EU-funded Marie Skłodowska-Curie
Fellowship [2,3].
Potential topics can include current areas of NLP research such as:
- Multimodal Large Language Models
- Text processing of news archives
- Using NLP for Cultural Heritage, Social Sciences, Humanities and
Literature
- Extraction, summarisation, and analysis of financial text
- Information extraction for knowledge graph population
- Using additional knowledge sources for information extraction from text
- Reasoning with knowledge graphs and language
Potential candidates should have published at top NLP or ML conferences
(EMNLP,ACL,NAACL,EACL,NeurIPS,ICML,ICLR). Female candidates and
candidates from other underrepresented groups in Computer Science are
especially encouraged to apply.
If you want to learn more, please send an email to Georgeta Bordea
(name.surname [at] univ-lr.fr [http://univ-lr.fr/]) with your CV attached and the subject
line "MSCA NLP".
[1] https://l3i.univ-larochelle.fr/Images-et-contenus
[2]
https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctoral-fe…
[3]
https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral…
The Images and Contents team [1] of the L3i lab [2] at La Rochelle University invites applications for a fully-funded PhD POSITION.
Application deadline: 21/04/2025
Detection, Representation and Visualisation of Event-Event Relations
Understanding how events relate to each other is at the heart of narrative comprehension, whether in literature, news discourse, historical analysis, or AI-driven storytelling. The ability to detect, represent, and visualize explicit and implicit event-event relations is crucial for making sense of complex narratives, identifying causal structures, and uncovering hidden patterns in temporal or logical sequences. This research will explore machine learning approaches, structured knowledge graphs, and multimodal visual representations to model event-event relations effectively. The project will leverage AI to tackle four core challenges: (1) accurate detection of implicit and explicit event-event relations across diverse textual sources, (2) structured representation of these relationships using knowledge graphs and semantic models, (3) linking of event sequences with relevant background knowledge, and (4) intuitive visualization of event interactions to enhance interpretability and facilitate narrative analysis.
What we offer: A yearly scholarship of €40,000 is provided for the entire duration of enrollment, up to a maximum of 36 months. Funded within the framework of a Junior Professorship (CPJ) on Federating Digital Humanities, this PhD offers strong interdisciplinary and collaborative research opportunities with Digital Humanities and Computer Science researchers.
Eligibility: Master’s degree in Computer Science, Computational Linguistics, Information Retrieval, Data Science or a related field. Strong interest or prior experience in NLP, knowledge graphs, semantic technologies, or interactive data visualization.
Mode of study: Full time
Year of entry: 2025
Duration: 3 years
Additional criteria: Applicants must not already (i) hold a doctoral degree; or (ii) be matriculated for a doctoral degree at La Rochelle University, or another institution.
Expression of Interest (EOI): Students are to submit their EOIs to Georgeta Bordea (name.surname(a)univ-lr.fr) including the following documents:
*
CV including information about publications.
*
Transcripts of most relevant/recent degrees.
*
To apply, applicants must submit an EOI detailing their suitability for the project by addressing the required skills and key responsibilities in under 800 words.
[1] https://l3i.univ-larochelle.fr/Images-et-contenus [https://l3i.univ-larochelle.fr/Images-et-contenus]
[2] https://l3i.univ-larochelle.fr/ [https://l3i.univ-larochelle.fr/]
*The Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)
<https://unlp.org.ua/>*
*Important dates*
*April 20, 2025* — Workshop paper due (extended from April 14)
May 19, 2025 — Notification of acceptance
June 2, 2025 — Camera-ready papers due
June 30, 2025 — Pre-recorded video due
July 31, 2025 — Workshop
*Submission link:* https://softconf.com/acl2025/unlp2025
*Call For Papers*
UNLP 2025 <https://unlp.org.ua/> will be held *online* on July 31, 2025, in
conjunction with ACL 2025.
The workshop will bring together leading professionals from academia and
industry who develop language resources, tools, and NLP solutions for the
Ukrainian language or do cross-lingual research that can be applied to the
Ukrainian language.
The workshop will facilitate developments in the processing of the
Ukrainian language, as well as provide a platform for discussion and
sharing of ideas, encourage collaboration between different research
groups, and improve the visibility of the Ukrainian research community.
Topics of interest lie in the area of Ukrainian NLP and Computational
Linguistics and include, but are not limited to, the following tasks:
- morphosyntactic tagging,
- named-entity recognition,
- syntactic and semantic parsing,
- coreference resolution,
- information extraction and text mining,
- automated question answering and information retrieval,
- language modelling and natural language generation,
- grammatical error correction,
- text summarization,
- machine translation,
- sentiment analysis,
- argument mining,
- disinformation detection and fact verification,
- development of language resources and evaluation methods,
- speech recognition and generation,
- knowledge representation and computational pragmatics,
- computational semantics,
- computational methods for phonology,
- cross-lingual models applicable to Ukrainian,
- Ukrainian dialects, sociolects, and code-switching,
- Ukrainian NLP in interaction with other artificial intelligence
technologies.
*Note: *The workshop will accept research papers for the Crimean Tatar
language with the aim of supporting this severely endangered language of
the indigenous people of Ukraine. The workshop will also accept papers with
negative results.
*Submissions*
UNLP invites submissions of completed and ongoing projects. Submissions
describing resources or solutions that have been made available to the
broader public are strongly encouraged.
We invite two types of submissions: long and short papers. Long papers
should describe original, unpublished, and completed work. The short papers
may describe work in progress, small focused contributions, system
demonstrations, new linguistic resources, or experiments based on existing
software and resources.
The workshop will provide Grammarly Premium to all authors. To request
Grammarly Premium, please fill in this form
<https://docs.google.com/forms/d/e/1FAIpQLSemG2fVh_KJo6JZF9pC4TNQ9gdMawd-TC_…>
.
*Workshop Organizers*
*Main Organizers*
Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine
Mariana Romanyshyn, Grammarly, Ukraine
Olena Nahorna, Grammarly, Germany
Oleksii Ignatenko, Ukrainian Catholic University, Ukraine
*Shared Task Organizers*
Nataliia Romanyshyn, Ukrainian Catholic University, Ukraine
Oleksii Syvokon, Microsoft, Ukraine
Roman Kyslyi, Igor Sikorsky Kyiv Polytechnic Institute, Ukraine
Volodymyr Sydorskyi, Igor Sikorsky Kyiv Polytechnic Institute, Ukraine
Find our program committee at https://unlp.org.ua/committees/.
*Follow us*
Website: https://unlp.org.ua/.
X: https://x.com/UNLP_workshop.
Telegram: https://t.me/UNLP_workshop.
Facebook: https://www.facebook.com/UNLPworkshop.
Email: info(a)unlp.org.ua.
==============================================================
Call for Participation
4th Cardiff NLP Workshop, 14-15 July 2025
==============================================================
Dear corpora-list members,
We are organising the 4th Cardiff NLP Summer Workshop, an in-person workshop
that will take place from July 1st to July 2nd 2024 in the Abacws building
in Cardiff (Wales, UK).
The workshop is especially designed for PhD students and early career
researchers. *The registration* *is free for everyone* and we are also
offering some affordable accommodation options in the university residence
rooms near the venue. Please fill in the expression of interest form
<https://forms.gle/R6Rv3L3ukGoUfTfL6> by April 8th if you are interested in
joining the workshop.
Workshop Activities:
-
Invited speakers from academia and industry
-
Tutorials
-
Poster session and networking
-
Panel NLP research and large language models in academia and industry
Important Dates:
-
Application Period: 19 February - 8 April 2025
-
Notification of Acceptance: Late April 2025
-
Workshop: 14-15 July 2024 in Cardiff
For more details, please check the workshop website:
https://www.cardiffnlpworkshop.org/.
The Cardiff NLP Organising team.
*🎓 *We are happy to announce the next webinar in the CIRCE online
seminar series organized by the CIRCE <https://www.circe-project.eu/>
project in collaboration with DFCLAM University of Siena
<https://www.dfclam.unisi.it/en>, H2IOSC <https://www.h2iosc.cnr.it/>
project and CNR-ILC <https://www.ilc.cnr.it/en/>.
*Dr. Alice Henderson*
/Université de Grenoble Alpes, France/
*/Learning to Listen: Coping with Spoken Variation in the Workplace/*
📅 *April 28, 2025*
🕓 *4:30 PM – 5:30 PM (CEST)*
*Venue*: Online
*Attendees*: Secondary school teachers, researchers, language instructors
*Summary*: The university workplace is representative of
international-ised/-ising workplaces in general, where different
communities, languages, and cultures coexist. Staff encounter their
colleagues’ and students’ accents – of Italian, of English, and in my
case, French - and sometimes the result is that communication can be
quite hard work. Even with the best intentions, sometimes we just cannot
understand a speaker. However, when we think about spoken interactions,
we have to accept that it is not just about how the speaker produces a
language; the actions and skills of listeners should also be addressed.
This flip or change of perspective begs two questions: can we, as
listeners, learn to cope better with spoken variation? And if so, how?
In this talk I’ll summarize speech research findings about how listeners
can improve their ability to adapt to new speakers and new accents. I’ll
look at listener accommodation and accentism, as well as the conceptual
trio of accentedness, comprehensibility and intelligibility. I’ll
describe concrete ways to prepare listeners to cope with accented
speech, with a primary focus on listeners instead of speakers. Examples
will come mainly from my work with non-academic staff at a large, French
public university; my 1-hour format for listener training can be reused
in other professional contexts. If possible, I’ll also describe the next
steps in this work, as I prepare to continue training previous workshop
participants as part of a longitudinal study.
*Bio*: Alice Henderson is a Professor at Université Grenoble - Alpes,
France where she teaches English for Specific Purposes to Science &
Technology students. She taught English phonetics and phonology for 24
years and has been involved in training teachers in France, Norway,
Poland, and Spain. In 2009 she initiated the international bi-annual
conference English Pronunciation: Issues & Practices. Her research
interests include English pronunciation teaching and learning, the
perception of foreign-accented speech, and English Medium Instruction
(EMI). Much of her research has focused on speakers, but she is also
intrigued by listeners’ roles, from an intercultural and sociolinguistic
perspective.
Upcoming webinars:
- Ana Tankosic (Monday, May 12, 2025)
- Giuliana Regnoli (Monday, May 26, 2025)
- Clara Molina (Monday, June 30, 2025)
The seminar is free of charge, but participants must register. To access
this and next events, you should create an account on theH2IOSC Training
Environment
<https://h2iosc-training-platform.ilc4clarin.ilc.cnr.it/registration>.
Once logged in with your credentials, choose the course “Language and
Accent Discrimination - Online Seminar Series” and activate it with the
code PbK837GtE. Make sure to have the Teams platform installed.
The registrations of the previous CIRCE Seminars are also available on
the H2IOSC Training Environment. For any inquiry, write to
contact(a)circe-project.eu.
Second Call for Papers: *The 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
*Location*: Vienna, Austria and online (co-located with ACL 2025)
*Date*: Thursday, July 31 and Friday, August 1, 2025
*Website*: https://sig-edu.org/bea/2025 <https://sig-edu.org/bea/2025>
*Submission Deadline*: Thursday, April 17, 2025, 11:59pm UTC-12
*Submission Link*: https://softconf.com/acl2025/bea2025/
WORKSHOP DESCRIPTION
The BEA Workshop is a leading venue for NLP innovation in the context of
educational applications. It is one of the largest one-day workshops in the
ACL community with over 100 registered attendees in the past several years.
The growing interest in educational applications and a diverse community of
researchers involved resulted in the creation of the Special Interest Group
in Educational Applications (SIGEDU) (https://sig-edu.org<https://sig-edu.org/>) in 2017, which currently has over 400 members.
The 20th BEA workshop will be the first edition of BEA as *a 2-day workshop*,
and it will feature a keynote by *Kostiantyn Omelianchuk (Grammarly)*, oral
presentation sessions and large poster sessions to facilitate the
presentation of a wide array of original research. This year, the workshop
is also hosting *a shared task on Pedagogical Ability Assessment of
AI-powered Tutors*, and *a half-day tutorial on LLMs for Education:
Understanding the Needs of Stakeholders, Current Capabilities and the Path
Forward *(more details on both to follow). We expect that the workshop will
continue to highlight novel technologies and opportunities for educational
NLP in English as well as other languages.
The workshop will accept submissions of both full papers and short papers,
eligible for either oral or poster presentation at https://softconf.com/acl2025/bea2025/.
We solicit papers that incorporate NLP methods, including, but not limited
to:
- use of generative AI in education and its impact;
- automated scoring of open-ended textual and spoken responses;
- automated scoring/evaluation for written student responses (across
multiple genres);
- game-based instruction and assessment;
- educational data mining;
- intelligent tutoring;
- collaborative learning environments;
- peer review;
- grammatical error detection and correction;
- learner cognition;
- spoken dialog;
- multimodal applications;
- annotation standards and schemas;
- tools and applications for classroom teachers, learners and/or test
developers; and
- use of corpora in educational tools.
INVITED TALKS
The workshop will feature a keynote by Kostiantyn Omelianchuk (Grammarly),
and an invited talk by a speaker from one of the IAALDE (https://alliancelss.com<https://alliancelss.com/>) societies.
SHARED TASK
The workshop will also host a shared task on Pedagogical Ability Assessment of
AI-powered Tutors. See more details here: https://sig-edu.org/sharedtask/2025
IMPORTANT DATES
All deadlines are 11.59 pm UTC-12 (anywhere on earth).
- Submission deadline: *Thursday, April 17, 2025*
- Notification of acceptance: *Thursday, May 22, 2025*
- Camera-ready papers due: *Monday, June 9, 2025*
- Workshop: *Thursday, July 31, and Friday, August 1, 2025*
SUBMISSION INFORMATION
We will be using the ACL Submission Guidelines for the BEA Workshop this
year. Authors are invited to submit a long paper of up to eight (8) pages
of content, plus unlimited references; final versions of long papers will
be given one additional page of content (up to 9 pages) so that reviewers’
comments can be taken into account. We also invite short papers of up to
four (4) pages of content, plus unlimited references. Upon acceptance,
short papers will be given five (5) content pages in the proceedings.
Authors are encouraged to use this additional page to address reviewers’
comments in their final versions. We generally follow ACL submission
guidelines and will require that all submitted papers should include a
dedicated "Limitations" section, which does not count toward the page limit.
Papers which describe systems are also invited to give a demo of their
system. If you would like to present a demo in addition to presenting the
paper, please make sure to select either “long paper + demo” or “short
paper + demo” under “Submission Category” in the START submission page.
Previously published papers cannot be accepted. The submissions will be
reviewed by the program committee. As reviewing will be blind, please
ensure that papers are anonymous. Self-references that reveal the author’s
identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided.
Instead, use citations such as “Smith previously showed (Smith, 1991) …”.
We have also included conflict of interest in the submission form. You
should mark all potential reviewers who have been authors on the paper, are
from the same research group or institution, or who have seen versions of
this paper or discussed it with you.
We will be using the START conference system to manage submissions:
https://softconf.com/acl2025/bea2025/
DOUBLE SUBMISSION POLICY
We will follow the official ACL double-submission policy. Specifically,
papers being submitted both to BEA and another conference or workshop must:
- Note on the title page the other conference or workshop to which they
are being submitted.
- State on the title page that if the authors choose to present their
paper at BEA (assuming it was accepted), then the paper will be withdrawn
from other conferences and workshops.
ORGANIZING COMMITTEE
- Ekaterina Kochmar, MBZUAI
- Andrea Horbach, Hildesheim University
- Ronja Laarmann-Quante, Ruhr University Bochum
- Marie Bexte, FernUniversität in Hagen
- Anaïs Tack, KU Leuven, imec
- Victoria Yaneva, National Board of Medical Examiners
- Bashar Alhafni, New York University (NYU) & CAMeL Lab in NYUAD
- Zheng Yuan, King’s College London
- Jill Burstein, Duolingo
Workshop contact email address: bea.nlp.workshop(a)gmail.com<mailto:bea.nlp.workshop@gmail.com>
PROGRAM COMMITTEE
https://sig-edu.org/bea/2025#program-committee
*** Third Call for Papers ***
The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)
November 13-14, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/ickg2025/
(*** Proceedings to be published by IEEE ***)
(*** please note the change of conference and important dates! ***)
The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier
international forum for presentation of original research results in knowledge discovery and
graph learning, discussion of opportunities and challenges, as well as exchange and
dissemination of innovative, practical development experiences. The conference covers all
aspects of knowledge discovery from data, with a strong focus on graph learning and
knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw
researchers and application developers from a wide range of areas such as knowledge
engineering, representation learning, big data analytics, statistics, machine learning, pattern
recognition, data mining, knowledge visualization, high performance computing, and World
Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to
address challenges in handling all aspects of learning from data with dependency relationship.
All accepted papers will be published in the conference proceedings by the IEEE Computer
Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student
Paper Runner up, will be conferred at the conference, with a check and a certificate for each
award. The conference also features a survey track to accept survey papers reviewing recent
studies in all aspects of knowledge discovery and graph learning. At least five high quality
papers will be invited for a special issue of the Knowledge and Information Systems Journal,
in an expanded and revised form. In addition, at least eight quality papers will be invited for a
special issue of Data Intelligence Journal in an expanded and revised form with at least 30%
difference.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data.
• Machine learning, data mining, and statistical methods for data science and engineering.
• Acquisition, representation and evolution of fragmented knowledge.
• Fragmented knowledge modeling and online learning.
• Knowledge graphs and knowledge maps.
• Graph learning security, privacy, fairness, and trust.
• Interpretation, rule, and relationship discovery in graph learning.
• Geospatial and temporal knowledge discovery and graph learning.
• Ontologies and reasoning.
• Topology and fusion on fragmented knowledge.
• Visualization, personalization, and recommendation of Knowledge Graph navigation and
interaction.
• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
• Applications and services of knowledge discovery and graph learning in all domains
including web, medicine, education, healthcare, and business.
• Big knowledge systems and applications.
• Crowdsourcing, deep learning and edge computing for graph mining.
• Large language models and applications
• Open source platforms and systems supporting knowledge and graph learning.
• Datasets and benchmarks for graphs
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
SURVEY TRACK
Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.
In addition to the above topics, authors can also select and target the following Special Track
topics.
Each special track is handled by respective special track chairs, and the papers are also
included in the conference proceedings.
• Special Track 01: KGC and Knowledge Graph Building
• Special Track 02: KR and KG Reasoning.
• Special Track 03: KG and Large Language Model
• Special Track 04: GNN and Graph Learning
• Special Track 05: QA and Graph Database
• Special Track 06: KG and Multi-modal Learning.
• Special Track 07: KG and Knowledge Fusion.
• Special Track 08: Industry and Applications
SUBMISSION GUIDELINES
Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including
the bibliography and any possible appendices. Submissions longer than 8 pages will be
rejected without review. All submissions will be reviewed by the Program Committee based on
technical quality, originality, significance, and clarity. For survey track paper, please preface the
descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper
entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A
Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly
bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be
removed from the camera-ready copy.
For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is
the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph
Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should
be changed as “SS01: Incremental Knowledge Graph Learning”.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit.
The reviewing process is single blind, meaning that each submission should list all authors and
affiliations. There is no separate abstract submission step. There are no separate industrial,
application, or poster tracks. Manuscripts must be submitted electronically in the online
submission system. No email submission is accepted. To help ensure correct formatting, please
use the style files for U.S. Letter as template for your submission. These include LaTeX and
Word.
SUBMISSION LINK
https://wi-lab.com/cyberchair/2025/ickg25/
IMPORTANT DATES
• Paper submission (abstract and full paper): June 20, 2025 (AoE)
• Notification of acceptance/rejection: September 5, 2025
• Camera-ready, copyright forms and author registration: September 20, 2025
• Early (non-author) registration: October 10, 2025
• Conference dates: November 13-14, 2025
ORGANISATION
Conference and Local Organising Chair
• George A. Papadopoulos, University of Cyprus
Conference Co-Chair
• Dan Guo, Hefei University of Technology
Program Chairs
• Cesare Alippi, Università della Svizzera italiana
• Shirui Pan, Griffith University
Local Organising Vice Chair
• Irene Kinlanioti, National Technical University of Athens
Finance Chair
• Constantinos Pattichis, University of Cyprus
Steering Committee Chair
• Xindong Wu, Hefei University Of Technology
Release of test corpora and start of the evaluation campaign
(test server available and trial submissions closed)
****We apologize for multiple postings of this e-mail****
MentalRiskES2025 describes the third edition of a novel task on early risk
identification of mental disorders in Spanish comments from social media
sources. The first and the second editions took place in the IberLEF
evaluation forum as part of the SEPLN 2023 and SEPLN 2024. The task was
resolved as an online problem, that is, the participants had to detect a
potential risk as early as possible in a continuous stream of data.
Therefore, the performance not only depended on the accuracy of the systems
but also on how fast the problem is detected. These dynamics are reflected
in the design of the tasks and the metrics used to evaluate participants. For
this third edition, we propose two novel tasks, the first subtask is about
the detection of the gambling disorder and the second subtask consists of
detecting a type of Addiction.
We would like to invite you to participate in the following tasks:
1. Risk Detection of Gambling Disorders (Binary classification)
2. Type of Addiction Detection (Multiclass classification)
Find out more at https://sites.google.com/view/mentalriskes2025.
MentalRiskES 2025 is part of the IberLEF Workshop and will be held in
conjunction with the SEPLN 2025 conference in Zaragoza (Spain).
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Important Dates
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Feb 14th Registration open
Feb 25th Release of trial corpora (trial server available)
Mar 19th Release of training corpora
Mar 31st Registration closed
*Apr 6th Release of test corpora and start of the evaluation
campaign (test server available and trial submissions closed)*
Apr 14th End of evaluation campaign (deadline for submission
of runs)
Apr 18th Publication of official results and release of test
gold labels
May 12th Deadline for paper submission
May 30th Acceptance notification
Jun 16th Camera-ready submission deadline
Sep TBD Publication of proceedings
Note: All deadlines are 11:59PM UTC-12:00
Please reach out to the organizers at MentalRiskEs@IberLEF2025.
The MentalRiskES 2025 organizing committee.
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Mas informacion sobre listas de correo en la Univ. de Jaen
http://www.ujaen.es/sci/redes/listas/
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Dear Colleagues,
We are pleased to announce the Multi-Domain Detection of AI-Generated Text (M-DAIGT) shared task, hosted at RANLP 2025. This task brings together researchers to explore methods for detecting AI-generated text across multiple domains, with a focus on news articles and academic writing.
We invite participation in two subtasks:
1. News Article Detection (NAD): Classify news articles and snippets as human-written or AI-generated.
2. Academic Writing Detection (AWD): Identify AI-generated content within student coursework and academic research across various disciplines.
* Participants will receive balanced datasets containing human-written and AI-generated texts from multiple language models. Evaluation will be conducted on the CodaLab platform.
Evaluation Metrics:
* Primary: Accuracy, Precision, Recall, F1-score
* Secondary: Robustness across text lengths, domains, and generation sources
Important Dates:
* Training Data Release: March 31, 2025
* Evaluation Data Release: April 30, 2025
* Evaluation Period: May 215, 2025
* Paper Submission Deadline: May 25, 2025
* Workshop Dates: September 1112, 2025
More Information and Registration:
* Website: https://ezzini.github.io/M-DAIGT/
* GitHub Repository: https://github.com/ezzini/M-DAIGT
* Registration: Click here to register for solo or team participation<https://docs.google.com/forms/d/e/1FAIpQLSextZDY7qjGRJSLCBNISPcBNQZwusRWKvy…>
* Join us on Slack: Slack Workspace<https://mdaigtsharedt-xye5995.slack.com/?redir=%2Fssb%2Fredirect>
We look forward to your participation and encourage you to share this with colleagues who may be interested. For any queries, feel free to reach out to the organizers.
Yours sincerely,
The M-DAIGT Organizers
**********************************************************************
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