==============================================================
Call for Participation
LxMLS 2025 - 15th Lisbon Machine Learning School
==============================================================
We invite everyone interested in Machine Learning and Natural Language Processing to attend the 15th Lisbon Machine Learning School - LxMLS 2025.
Important Dates
---------------
* Application Deadline: April 28th
* Notification of Admission: May 13th
* Early registration: June 27th
* Late registration: July 12th
* Summer School: July 19th-25th
Topics and Intended Audience
---------------
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
* Researchers and graduate students in the fields of NLP and Computational Linguistics;
* Computer scientists who have interests in statistics and machine learning;
* Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
* No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming;
* Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule);
* The Labs guide will be provided one month in advance. Last year's guide is available on the website.
* The first day is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
* Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning and transformers) will be covered
* Welcome reception, Banquet, daily lunch as well as morning and afternoon coffee breaks are included in the application fee
* Lecturers are leading researchers in machine learning and natural language processing
List of Confirmed Speakers
---------------
ADÈLE H. RIBEIRO Philipps-Universität Marburg | Germany
ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal
BEIDI CHEN Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
DESMOND ELLIOTT University Of Copenhagen | Denmark
KYUNGHYUN CHO New York University | USA
LUCAS DIXON Google DeepMind
MÁRIO FIGUEIREDO University of Lisbon | Portugal
MAXIME PEYRARD Computer Science Laboratory of Grenoble | France
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SARA HOOKER Cohere for AI | Canada
SLAV PETROV Google Inc. | USA
SWETA AGRAWAL Google
Please visit our webpage for up-to-date information: http://lxmls.it.pt/2025/ <http://lxmls.it.pt/2025/>
Apply here: http://tiny.cc/apply-lxmls2025 <http://tiny.cc/apply-lxmls2025>
Any questions should be directed to: lxmls-2025(a)googlegroups.com <mailto:lxmls-2025@googlegroups.com>
We are looking forward to your participation!
-- The organizers of LxMLS’2025.
Deadline Extended: Second Call for Workshop Proposals - IJCNLP-AACL 2025
The 14th International Joint Conference on Natural Language Processing
(IJCNLP) and the 4th Conference of the Asia-Pacific Chapter of the
Association for Computational Linguistics (AACL) invites proposals for
workshops to be held in conjunction with IJCNLP-AACL in 2025 in Mumbai
(India). We solicit proposals in all areas of computational linguistics,
language resources and evaluation, broadly conceived to include related
disciplines such as linguistics, language documentation, natural
language processing, speech and multimodal processing, computational
social science, and the digital humanities.
The
thttps://mail.aclweb.org:2096/cpsess7732164573/3rdparty/roundcube/?_task=mail&_action=compose&_id=87201360267e9d1c02ac72#wo
pages for the main proposal must include the following:
- A title and a brief description of the workshop topic and content.
- A list of invited speakers, if applicable, with an indication of which
ones have already agreed and which are tentative, and sources of funding
for the speakers, if needed.
- An estimate of the number of attendees.
- Workshop format: in-person preferred; hybrid format may be allowed
under special circumstances.
- A description of any shared tasks associated with the workshop, and
estimate of the number of participants. Note that any shared task will
also need to be reviewed by the workshop committee for ethical concerns.
- A description of special requirements and technical needs, where
relevant.
If the workshop has been held before, a note specifying where previous
iterations of the workshops were held, how many submissions the workshop
received, how many papers were accepted (also specify whether they were
not regular papers, e.g., shared task system description papers,
non-archival papers), and how many attendees the workshop attracted.
In order to allow more participants to join and contribute, we have
decided to extend the submission deadline to April 30th, 2025, 11:59 PM
Samoa Standard Time (SST) (UTC/GMT-11, ‘Anywhere on Earth).
At least one of the organisers of the accepted workshops must be present
in person in Mumbai, India.
Check the full Call at:
https://www.afnlp.org/conferences/ijcnlp2025/#submissions
Link to submission system: https://softconf.com/aacl2025/workshops/
For queries related to workshop submission, and the review process in
general, email: AACL-IJCNLP25-Workshop_Chairs(a)googlegroups.com
Workshop Chairs
Sowmya Vajjala, National Research Council, Canada
Lizhen Qu, Monash University, Australia
Call for Participation
Sentiment Across Multi-Dialectal Arabic: A Benchmark for Sentiment Analysis in the Hospitality Domain
We invite researchers, practitioners, and NLP enthusiasts to participate in the Sentiment Across Multi-Dialectal Arabic shared task, a challenge aimed at advancing sentiment analysis for Arabic dialects in the hospitality sector.
About the Task:
Arabic is one of the world’s most spoken languages, characterised by rich dialectal variation across different regions. These dialects significantly differ in syntax, vocabulary, and sentiment expression, making sentiment analysis a challenging NLP task. This task focuses on multi-dialectal sentiment detection in hotel reviews, where participants will classify sentiment as positive, neutral, or negative across multiple Arabic dialects, including Saudi, Moroccan, and Egyptian Arabic.
This shared task provides a high-quality multi-dialect parallel dataset, enabling participants to explore:
1. Dialect-Specific Sentiment Detection – Understanding how sentiment varies across dialects.
2. Cross-Linguistic Sentiment Analysis – Investigating sentiment preservation across dialects.
3. Benchmarking on Multi-Dialect Data – Evaluating models on a standardised Arabic dialect dataset.
Dataset Overview:
- Hotel reviews across multiple Arabic dialects.
- Balanced sentiment distribution (positive, neutral, negative).
- Multi-Dialect Parallel Dataset – Each review is available in multiple dialects, allowing for cross-linguistic comparison.
Evaluation Metrics:
- Primary Metric: F1-Score.
- Additional Analysis: Comparison of sentiment accuracy across dialects.
Baseline System:
- Pre-trained BERT-based model (AraBERT) fine-tuned on MSA and Arabic dialect data.
- Participants are encouraged to improve upon the baseline model with their own techniques and use LLMs.
Why Participate?
- Contribute to Arabic NLP Research – Help advance sentiment analysis for Arabic dialects.
- Gain Access to a High-Quality Dataset – A unique multi-dialect benchmark for future research.
- Collaborate with the NLP Community – Engage with leading researchers and practitioners.
- Showcase Your Work – High-performing models may be featured in a post-task publication.
Timeline
- Training data ready – April 15, 2024
- Test Evaluation starts – April 27, 2025
- Test Evaluation end – May 10, 2025
- Paper submission due – May 16, 2025
- Notification to authors – May 31, 2025
- Shared task presentation co-located with RANLP 2025 – September 11 and September 12, 2025
How to Participate?
- Register for the task via https://ahasis-42267.web.app/
- Download the dataset and baseline system.
- Develop and test your sentiment analysis model.
- Submit your results for evaluation.
Organising Team
1. Maram Alharbi, Lancaster University, UK
2. Salmane Chafik, Mohammed VI Polytechnic University, Morocco
3. Professor Ruslan Mitkov, Lancaster University, UK
4. Dr. Saad Ezzini, King Fahd University of Petroleum and Minerals, Saudi Arabia
5. Dr. Tharindo Ranasinghe, Lancaster University, UK
6. Dr. Hansi Hettiarachchi, Lancaster University, UK
For inquiries, please contact us at ahasis.task(a)gmail.com
At the Signals and Interactive Systems Lab (University of Trento, Italy) we
are looking for highly motivated and talented graduate students to join our
research team and work on Conversational Artificial Intelligence. This
umbrella term includes the following research areas:
-
Natural Language Processing
-
Dialogue Modeling and Systems
-
Machine Learning
-
Affective Computing
We are investigating and designing next-generation ML models for multimodal
input /output processing in physical and hybrid environments and
interactions.
For thirty years, the SIS Lab has trained intelligent machines and
evaluated AI-based systems in many industry sectors, from fintech to
health, following ethical principles and directives from data collection,
annotation, machine learning modeling, and user engagement.
The lab research team is interdisciplinary and attracts researchers from
computational linguistics, psychology, applied math, biomedical and
electrical engineering, and computer science.
Research projects and publications can be found on the SIS lab website.
The department's official language (research and teaching) is English.
AVAILABLE POSITIONS
-Six months funded research fellowships: approximately 1.885 Euro/month
gross.
-Three-year funded Phd fellowships: approximately 1.885 Euro/month gross
amount.
For more information about the cost of living in Trento, please visit the
website <https://iecs.unitn.it/prospective-student/living-in-trento> .
DEADLINES
Positions open until filled.
REQUIREMENTS
MANDATORY ( for both positions )
- Master's degree in Computer Science, Electrical Engineering,
Computational Linguistics, Machine Learning, or similar/related disciplines.
- Excellent academic records
- Excellent programming skills
- Excellent command of oral and written English
- Good knowledge of most of the following: experimental design methodology
and statistics,
natural language processing, machine learning methods
- Excellent teamwork skills
NICE-TO-HAVE
-Experience with Vision-Language Models and their applications.
-Expertise with LLM architectures, frameworks and applications.
-Experience with VR and/or XR architectures, frameworks and applications.
HOW TO APPLY
Interested applicants should mention the position they are applying and
send their CV to:
Email: sisl-jobs(a)disi.unitn.it
For more info:
The Signals and Interactive Systems Lab
<http://sisl.disi.unitn.it/>The PhD School
<https://iecs.unitn.it/>The Department Information Engineering and Computer
Science Department @ University of Trento <https://www.disi.unitn.it/>
---
Prof. Dr.-Ing. Giuseppe Riccardi
Founder and Director of the Signals and Interactive Systems Lab
Department of the Department of Computer Science and Engineering Department
University of Trento
Room D5, via Sommarive 5
38123 Povo di Trento, Italy
DEADLINE EXTENSION: 3rd TRR 318 Conference: Contextualizing Explanations (ContEx25)
http://contex2025.net/
As AI systems are used more and more in high-stakes domains, it also becomes ever-more important to make AI systems transparent to ensure meaningful human control and empower human users to contest or override AI-based decisions. Without sufficient transparency, increasingly complex and autonomous AI systems may leave users feeling overwhelmed and out of control, which is legally and ethically unacceptable, especially in the context of high-stakes decisions. For the users to feel empowered rather than out of control, explanations need to be relevant, providing sufficient information on which basis an output can be contested or challenged.
It has been increasingly noted by the XAI community that no one explanation can fit all needs. Further, recent approaches have advocated for a more participative approach to XAI in which users are not only involved but can directly shape and guide the explanations given by a certain AI System.
The 3rd TRR 318 Conference: Contextualizing Explanations is an international and interdisciplinary conference focusing on the question how explanations can be contextualized to increase their relevance and empower users.
Key research questions that we want to explore during the conference include:
How do contextual variables influence the effectiveness of explanations?
What are the relevant context factors to be taken into account in adapting an explanation to specific domains, users, or situations?
How can context be represented algorithmically to support contextual adaptation of XAI explanations?
What new architectures or approaches in XAI support the dynamic adaptation of explanations with respect to changing user needs?
How can user modelling support a more personalized explanation process?
In which ways can the dynamics of context be modelled?
How can the suitability of contextually adapted explanations be studied / validated / evaluated?
Which explanation processes are particularly suitable for which context?
Which context-specific outcomes are influenced by explanations?
How can XAI empower users across diverse contexts to make informed decisions and effectively interact with AI systems?
What constitutes a useful taxonomy for categorizing contexts in which explanations are provided?
What are the various contexts in which explanations are provided and utilized?
The 3rd TRR318 Conference: Contextualizing Explanations invites contributions from a wide range of disciplines (computational but also human/social science) seeking to contribute to advancing research on how explanations can be contextually adapted.
We invite interested participants to submit a two page abstract (+ references) using the LNCS Springer template via Easychair: https://easychair.org/conferences/?conf=contex25
The abstracts will be peer-reviewed and appear as Proceedings published by Bielefeld University Press.
The conference is hosted and supported by the TRR 318 “Constructing Explainability”: http://trr318.de <http://trr318.de/>
Organizing Committee:
Philipp Cimiano (Bielefeld University)
Benjamin Paaßen (Bielefeld University)
Anna-Lisa Vollmer (BIelefeld University)
Invited Speakers:
Angelo Cangelosi (University of Manchester)
Virginia Dignum (Umeå University)
Kacper Sokol (ETH Zurich)
Important Dates:
Deadline for Submissions (EXTENDED): April 16th
Notification of Acceptance (EXTENDED): May 7th
Conference: 17th and 18th of June, Bielefeld
Prof. Dr. Philipp Cimiano
AG Semantic Computing
Coordinator of the Cognitive Interaction Technology Center (CITEC)
Co-Director of the Joint Artificial Intelligence Institute (JAII)
Universität Bielefeld
Tel: +49 521 106 12249
Fax: +49 521 106 6560
Mail: cimiano(a)cit-ec.uni-bielefeld.de
Personal Zoom Room: https://uni-bielefeld.zoom-x.de/my/pcimiano
Office CITEC-2.307
Universitätsstr. 21-25
33615 Bielefeld, NRW
Germany
4th ACM International Workshop on Multimedia AI against Disinformation (MAD’25)
ACM International Conference on Multimedia Retrieval ICMR'25
Chicago, USA, June 30 - July 3, 2025
https://www.mad2025.aimultimedialab.ro/https://easychair.org/my/conference?conf=mad2025
*** Call for papers ***
************************
* Paper submission due: April 10, 2025
* Acceptance notification: April 29, 2025
* Camera-ready papers due: May 5, 2025
* Workshop @ACM ICMR 2025: June 30, 2025
Modern communication does not rely anymore solely on mainstream media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users. The speedup of distribution and the amount of information available, however, also led to an increased amount of misleading content, disinformation and propaganda. Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as politics, health and religion.
Disinformation campaigns are leveraging, among others, AI-based tools for content generation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of "deepfakes", and more recently with the use of Large Language Models (LLMs) and Large Multimodal Models (LMMs), undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new robust and trustworthy AI tools able to detect the presence of inaccurate, synthetic and manipulated content, accessible to journalists and fact-checkers.
Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These raise new challenges and questions that need to be addressed to reduce the effects of disinformation campaigns. The workshop, in its fourth edition, welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation.
Topics of interest include but are not limited to:
- Disinformation detection in multimedia content (e.g., video, audio, texts, images)
- Multimodal verification methods
- Synthetic and manipulated media detection
- Multimedia forensics
- Disinformation spread and effects in social media
- Analysis of disinformation campaigns in societally-sensitive domains
- Robustness of media verification against adversarial attacks and real-world complexities
- Fairness and non-discrimination of disinformation detection in multimedia content
- Explaining disinformation detection results to non-expert users
- Temporal and cultural aspects of disinformation
- Dataset sharing and governance in AI for disinformation
- Datasets for disinformation detection and multimedia verification
- Open resources, e.g., datasets, software tools
- Large Language Models for analyzing and mitigating disinformation campaigns
- Large Multimodal Models for media verification
- Multimedia verification systems and applications
- System fusion, ensembling and late fusion techniques
- Benchmarking and evaluation frameworks
*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR 2025 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here: https://mad2025.aimultimedialab.ro/submissions/.
*** Organizing committee ***
Dan-Cristian Stanciu (National University of Science and Technology Politehnica Bucharest, Romania)
Roberto Caldelli (CNIT and Mercatorum University, Italy)
Milica Gerhardt (Fraunhofer IDMT, Germany)
Bogdan Ionescu (National University of Science and Technology Politehnica Bucharest, Romania)
Giorgos Kordopatis-Zilos (Czech Technical University in Prague, Czechia)
Symeon Papadopoulos (CERTH-ΙΤΙ, Greece)
Adrian Popescu (CEA LIST, France)
Vera Schmitt (Technical University Berlin, Germany)
The workshop is supported under the following projects: (i) UEFISCDI DeteRel SOL12/2024 Detection of relationships between entities in unstructured and structured data sets (https://deterel.aimultimedialab.ro/), (ii) AI4Debunk (https://ai4debunk.eu/), (iii) vera.ai “VERification Assisted by Artificial Intelligence” (https://www.veraai.eu/), and (iv) News-Polygraph (https://news-polygraph.com/).
On behalf of the organizers,
Cristian Stanciu
https://www.aimultimedialab.ro/
**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ****
------------------------------------------------------------------------
Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by the HiTZ Chair of AI< (https://hitz.eus).
You can view the videos of previous webinars and the schedule for
upcoming webinars here: http://www.hitz.eus/webinars
Next webinar:
*Speaker: *Emanuele Bugliarello (Google DeepMind)
*Title: *Towards Inclusive Multimodal AI
*Date: *Thursday, April 3, 2025 - 15:00 CET
*Summary: *Visual assistants are becoming ubiquitous, yet their
effectiveness varies drastically across languages and cultures. This
talk presents an overview of the critical issue of multicultural
disparity in image–text models. We'll explore this gap through three
lenses: evaluation, training, and generation. First, I'll introduce
benchmarks like MaRVL designed to quantify multilingual and
multicultural competence. Next, we'll delve into techniques for
mitigating these disparities in model training. Finally, we'll examine
the emerging challenges and opportunities in multicultural visual
generation.
*Bio: *Emanuele Bugliarello is a research scientist at Google DeepMind
based in Grenoble, France where he works on improving evaluation and
capabilities of multimodal generative models. He completed his PhD in
the NLP Section at the University of Copenhagen, while spending time at
DeepMind, Google, Mila and Spotify. Previously, he studied computer and
communication sciences at EPFL, Tongji University and Politecnico di Torino.
*
Upcoming webinars:*
· André F. T. Martins (Thursday, May 8, 2025)
· Mirella Lapata (Thursday, June 5, 2025)
If you are interested in participating, please complete this
registration form: http://www.hitz.eus/webinar_izenematea
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
HiTZ Zentroa
P.S: HiTZ will not grant any type of certificate for attendance at these
webinars.
====
*1st GOBLIN Workshop on Knowledge Graph Technologies*
Leipzig, Germany
June 12, 2025
https://cost.eu/actions/CA23147/
====
The 1st GOBLIN Workshop on Knowledge Graph Technologies welcomes papers
on novel scientific research and innovations relevant to Knowledge
Graphs, their applications, and associated technologies. We encourage
submissions at the intersection of Knowledge Graphs with fields such as
Artificial Intelligence, machine learning, data science, and automation.
Submissions should be original and must not have been published
elsewhere in any form or language. Each submission will receive at least
three independent reviews and will be evaluated based on novelty,
technical quality, reproducibility, and practical significance.
= Topics of Interest =
Topics of interest include, but are not limited to:
* Modeling, designing, and integrating KGs, including ontology
engineering and enrichment
* Development, publication, maintaining, and versioning of knowledge
graphs, including schema evolution and data updates
* Techniques for extracting, linking, and improving knowledge graphs,
ensuring data quality and consistency
* Methods for reasoning and discovering insights, patterns, and
relationships within large-scale KGs
* Strategies for safeguarding knowledge graphs, addressing access
control, bias detection, and data protection
* Leveraging KGs in deep learning, large language models, and natural
language processing, KGs for LLMs and LLMs for KGs
* Enhancing search, recommendations, and question-answering systems
using knowledge graph-based techniques
* Success stories and lessons learned in real-world implementations of
KGs in healthcare, finance, e-commerce, manufacturing, and beyond
* Applications of KGs in various contexts, such as content analysis,
misinformation detection, and social media insights
* Evaluation of knowledge graph development tasks based on LLMs/GenAI
* Knowledge Graph-based retrieval augmented generation (RAG)
= Important Dates =
* Submission Deadline: April 27, 2025 (11:59 pm, Anywhere On Earth time,
UTC-12)
* Notification of Acceptance: May 4, 2025 (11:59 pm, Anywhere On Earth
time, UTC-12)
Submissions will be through EasyChair:
https://easychair.org/my/conference?conf=goblin25
= Author Guidelines and Submission =
* *Full research papers*: 4-6 pages + max 2 pages references
* *Short research papers*: 2-4 pages + 1 page references
* *In Use and Experience papers*: 2-4 pages + 1 page references
* *Position and Vision papers*: 2-4 pages + 1 page references
* *System/demo papers*: 2-4 pages + 1 page references
Submissions must be in English, original, and not under review
elsewhere. Papers should follow the *Springer Lecture Notes in Computer
Science* style:
https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…
= Review and Evaluation Criteria =
Each submission will be reviewed by at least three Programme Committee
members. The reviewing process is double-blind, but reviewers may
disclose their identities. Papers will be evaluated based on:
* Appropriateness
* Originality, novelty, and innovativeness
* Impact of results
* Technical quality of methods
* Soundness of evaluation
* Proper comparison to related work
* Clarity and quality of writing
* Reproducibility of results and resources
= Financial Support for Authors =
The GOBLIN COST Action has allocated a budget to support travel expenses
for authors of accepted papers. One author per accepted paper may apply
for financial support, subject to budget availability and COST
reimbursement rules:
https://www.cost.eu/uploads/2025/02/COST-094-21-V2.0-Annotated-Rules-for-CO…
= Proceedings =
Accepted papers will be published on Zenodo and shared on the workshop
and GOBLIN COST Action websites.
= Workshop Chairs =
* Blerina Spahiu, University of Milano-Bicocca, Italy
* Milan Dojchinovski, InfAI/DBpedia Association, Germany
For inquiries: goblin25(a)easychair.org
= Programme Committee =
* Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania
* Krzysztof Węcel, Poznań University of Economics and Business, Poland
* Verginica Mititelu, Romanian Academy Research Institute for AI, Romania
* Jorge Gracia, University of Zaragoza, Spain
* Weiler Andreas, ZHAW School of Engineering, Switzerland
* …to be updated
= Local Organisers =
* Milan Dojchinovski, InfAI/DBpedia Association, Germany
* Julia Holze, InfAI/DBpedia Association, Germany
= Acknowledgment =
This workshop is organized as part of the GOBLIN COST Action: CA23147 –
Global Network on Large-Scale, Cross-domain and Multilingual Open
Knowledge Graphs, supported by COST (European Cooperation in Science and
Technology): https://www.cost.eu
Dear colleagues
I am pleased to confirm that registration is now open for the international Corpus Linguistics conference 2025 (CL2025). CL2025 is co-organised by Aston University, Birmingham City University, and the University of Birmingham and will take place from Monday 30th June - Thursday 3rd July 2025 at Aston University.
Information about fees and registration instructions can be found on the conference website: https://www.cl2025.co.uk/registration
Registration is also open for the pre-conference workshop day, to be held on Sunday 29th June at the University of Birmingham. We are pleased to confirm a programme of six workshops - details available here: https://www.cl2025.co.uk/programme/workshops
KEY DATES
* Registration opens: 28th March 2025
* Early bird registration deadline: 9th May 2025
* Final registration deadline: 13th June 2025
* Conference dates: 30th June - 3rd July 2025
PLENARY SPEAKERS
* Laurence Anthony (Waseda University, Japan)
* Gavin Brookes (Lancaster University, UK)
* Elizabeth Hanks (Northern Arizona University, USA)
* Pascual Pérez-Paredes (University of Murcia, Spain)
* Anna Marchi (University of Bologna, Italy) & Charlotte Taylor (University of Sussex, UK)
For further information, please visit the conference website at www.cl2025.co.uk<http://www.cl2025.co.uk> or write to the CL2025 organising committee at corpuslinguistics2025(a)gmail.com<mailto:corpuslinguistics2025@gmail.com>.
Best wishes
Robbie Love
On behalf of the CL2025 Organising Committee:
Matt Gee (Birmingham City University), Andrew Kehoe (Birmingham City University), Joyce Lim (Aston University), Robbie Love (Aston University), Mark McGlashan (University of Liverpool), Akira Murakami (University of Birmingham), Paul Thompson (University of Birmingham)
Dr Robbie Love (he/him) BA (Hons), ma, phd, cdls, fhea
Senior Lecturer in English Language and Linguistics
Programme Development Lead
Department of Communication and Culture, School of Law and Social Sciences
Aston University, Birmingham, UK
[Aston University]
Newsletter Editor, British Association for Applied Linguistics (BAAL)<https://www.baal.org.uk/>
Convenor, BAAL Corpus Linguistics Special Interest Group<https://baal-clsig.weebly.com/>
Organising Committee, Corpus Linguistics Conference 2025<https://www.cl2025.co.uk/>
Research profile: research.aston.ac.uk/en/persons/robbie-love<https://research.aston.ac.uk/en/persons/robbie-love>
Website: robbielove.org/<https://robbielove.org/>
See me in Les Misérables<https://www.atgtickets.com/shows/bmos-presents-les-miserables-let-the-peopl…> at the Alexandra Theatre, Birmingham, 10th-14th June!
Hello all,
*** Apologies for cross-posting ***
*The Third Arabic Natural Language Processing Conference (ArabicNLP 2025) *
*Co-located with EMNLP 2025 in Suzhou, China, November, 2025. (Hybrid
Mode).*
*Conference URL*: https://arabicnlp2025.sigarab.org/
We invite long (up to 8 pages), short (up to 4 pages), and demo paper (up
to 4 pages) submissions. Long and short papers will be presented orally or
as posters as determined by the program committee; presentation mode does
not reflect the quality of the work.
Theme: Bridging Modalities: Advancing Arabic NLP
Submissions may include work in progress or completed research, with a
clear focus on Arabic NLP, covering standard Arabic, dialectal, or
classical. This year, we focus on advancing the three key modalities: text,
speech, and vision. We encourage research that explores modeling, novel
applications, and new resources. Papers on related languages, such as
Semitic languages or those using Arabic script, are welcome if they offer
insights relevant to Arabic NLP. Work using Arabic resources for other
languages is also encouraged. We welcome descriptions of commercial
systems, position papers, and surveys on the above topics, with detailed
information on technical contributions and added value to the community.
Topics of interest include, but are not limited to:
Enabling Technologies:
-
Text: Language models, diacritization, morphological analysis,
lemmatization, tokenization, POS tagging, syntactic and semantic parsing,
named entity recognition, disambiguation, sentiment analysis, Arabic
dialect modeling, etc.
-
Speech & Vision: Speech recognition, speech synthesis, dialect
identification, optical character recognition, image/video understanding,
image/video generation, etc.
Applications: Assistive technologies, human-computer interaction, social
media analytics, retrieval-augmented generation, agentic
applications.Resources:
Multimodal corpora (text, speech, vision), annotation tools, lexical and
dictionaries, etc.
Conference Paper Submission URL: <https://softconf.com/emnlp2022/WANLP2022>
TBA
Important Dates for Conference Papers
-
June 22, 2025: Abstract submission for conference papers due date
-
June 29, 2025: Conference paper due date
-
August 03, 2025: Reviews submission deadline
-
August 24, 2025: Rebuttal period ends
-
August 31, 2025: Notification of acceptance
-
September 21, 2025: Camera-ready papers due
-
November, 2025: ArabicNLP conference
All deadlines are 11:59 pm UTC -12h
<https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on
Earth”).
If you have any questions, please contact us at:
arabicnlp-pc-chairs(a)sigarab.org
The ArabicNLP 2025 Organizing Committee
Best,
--
Salam Khalifa