March 2025 - Corpora

PhD positions at the University of Amsterdam
by Ekaterina Shutova 01 Apr '25

01 Apr '25

PhD positions at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, Netherlands Salary: EUR 2.901 - EUR 3.707 gross per month Closing date: 21 April 2025 We have two open PhD positions in natural language processing (NLP), starting in September 2025 or as soon as possible thereafter. The focus of the project is on the development of methodologies for multilingual NLP and alignment of large language models. We welcome applications from candidates with an NLP / AI background and an interest in language and society. For further information and to apply: https://werkenbij.uva.nl/en/vacancies/two-phd-positions-in-natural-language… For any questions, please send an email to e.shutova(a)uva.nl

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MentalRiskES@IberLEF2025: Early detection of mental risk
by María Dolores Molina González 31 Mar '25

31 Mar '25

*Registration closes today* *!!* ****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). ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Feb 14th Registration open Feb 25th Release of trial corpora (trial server available) Mar 19th Release of training corpora *Mar 31st Registration closed* Apr 7th 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. ----------------------------------------------------------- Mas informacion sobre listas de correo en la Univ. de Jaen http://www.ujaen.es/sci/redes/listas/ -----------------------------------------------------------

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Multi-Domain AI Text Detection Shared Task: M-DAIGT 2025 - Call for Participation
by Saad Ezzini 31 Mar '25

31 Mar '25

*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 2–15, 2025* - Paper Submission Deadline: *May 25, 2025* - Workshop Dates: *September 11–12, 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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Call for Participation: LxMLS 2025 - 15th Lisbon Machine Learning School
by Fernando Batista 31 Mar '25

31 Mar '25

============================================================== 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.

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Deadline Extended: Call for Workshop Proposals - IJCNLP-AACL 2025
by ACL Announcements 31 Mar '25

31 Mar '25

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

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[RANLP 2025 Shared Task] Sentiment Analysis on Arabic Dialects in the Hospitality Domain
by ahasis.task＠gmail.com 30 Mar '25

30 Mar '25

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

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Open RA/PhD Funded Positions in Multimodal Conversational AI ( U. Trento, Italy)
by Giuseppe Riccardi 28 Mar '25

28 Mar '25

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

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EXTENDED DEADLINE: 3rd TRR 318 Conference: Contextualizing Explanations (ContEx25)
by cimiano＠cit-ec.uni-bielefeld.de 28 Mar '25

28 Mar '25

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

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[Deadline in 2 weeks] CfP: 4th ACM International Workshop on Multimedia AI against Disinformation
by stanciu.cristi12＠gmail.com 28 Mar '25

28 Mar '25

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/

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Webminar by Emanuele Bugliarello (Google DeepMind)
by HiTZ zentroa 28 Mar '25

28 Mar '25

**** 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&LT (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.

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2026

2025

2024

2023

2022

Corpora March 2025