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PROFE 2025 @ IberLEF 2025 - Call for Participation
by ALVARO RODRIGO YUSTE 18 Feb '25

18 Feb '25

<Apologies for cross-postings> ------------------------------------------------ Call for Participation PROFE 2025: Language Proficiency Evaluation IberLEF 2025 Shared Task https://nlp.uned.es/question-answering/profe2025 PROFE 2025 reuses the exams for Spanish proficiency evaluation developed by Instituto Cervantes over many years to evaluate human students. Therefore, automatic systems will be evaluated under the same conditions as humans were. Systems will receive a set of exercises with their corresponding instructions without specific training material. In this way we expect Transfer Learning approaches or the use of Generative Large Language Models. Subtasks PROFE 2025 has three subtasks, one per exercise type. Teams can participate in any combination of them. Each subtask contains several exercises of the same type. The subtasks are: 1. Multiple choice subtask: each exercise includes a text and a set of multiple-choice questions about the text where only one answer is correct. Given a multiple-choice question, systems must select the correct answer among the candidates. 2. Matching subtask: each exercise contains two sets of texts. Systems must find the text in the second set that best matches the first set. There is only one possible matching per text, but the first set can contain extra unnecessary texts. 3. Filling the gap subtask: each exercise contains a text with several gaps corresponding to textual fragments that have been removed and presented disorderly as options. Systems must determine the correct position for each fragment. There is only one correct text per gap, but there could be more candidates than gaps. The different exercises open research on how to approach them, adapting different prompts when using generative models. Dataset We will use the IC-UNED-RC-ES dataset created from real examinations at Instituto Cervantes. These exams were created by human experts to assess language proficiency in Spanish. We have already collected the exams and converted them to a digital format, which is ready to be used in the task. The dataset contains exams at different levels (from A1 to C2). The complete dataset contains 282 exams with 855 exercises. The total number of evaluation points are 6146 (among 16570 options) distributed by exercise type as: multiple-choice: 3544 responses matching: 2309 responses fill-the-gap: 293 responses In PROFE 2025 we plan to use around 50% of the exams, so the other 50% remains hidden for PROFE second edition. We intend not to distribute the gold standard to prevent overfitting in post-campaign experiments and data contamination in LLMs. Evaluation measures and baseline We will use traditional accuracy (proportion of correct answers) as the main evaluation measure. Systems will receive evaluation scores from two different perspectives: * At the question level, where correct answers are counted individually without grouping them. * At the exam level, where scores for each exam are considered. Each exam contains several exercises of different types. An exam is considered to be passed if an accuracy score (accounted as the proportion of correct answers) above 0.5 is reached. Then, the proportion of passed exams is given as a global score. This perspective will only apply to those teams participating in the three subtasks. More in detail, the exact evaluation per subtask is as follows: * Multiple choice subtask: we will measure accuracy as the proportion of questions correctly answered * Matching subtask: we will measure accuracy as the proportion of correct texts matched. * Fill in the gap subtask: We will measure accuracy as the proportion of correctly filled gaps. We will use accuracy as the evaluation measure because there is only one correct option among candidates and because it is the measure applied to humans doing the same exams. Thus, we can compare the performance of automatic systems and humans under the same conditions A preliminary baseline using ChatGPT obtains the following results for each exercise type (provided that different prompting can produce slightly different results): * Multiple choice accuracy: 0.64 * Filling the gap accuracy: 0.43 * Matching accuracy: 0.51 Schedule February 6, 2025 Registration opens March 10, 2025 Training data released April 28, 2025 Test set release May 9, 2025 Deadline for submitting runs May 14, 2025 Release of evaluation results June 3, 2025 Paper submission deadline Organizers Alvaro Rodrigo<https://www.uned.es/universidad/docentes/informatica/alvaro-rodrigo-yuste.h…>, UNED NLP & IR Group (Universidad Nacional de Educación a Distancia) Anselmo Peñas<https://www.uned.es/universidad/docentes/informatica/anselmo-penas-padilla.…>, UNED NLP & IR Group (Universidad Nacional de Educación a Distancia) Alberto Pérez<https://www.uned.es/universidad/docentes/informatica/alberto-perez-garcia-p…>, UNED NLP & IR Group (Universidad Nacional de Educación a Distancia) Sergio Moreno<https://www.uned.es/universidad/docentes/en/informatica/sergio-moreno-alvar…>, UNED NLP & IR Group (Universidad Nacional de Educación a Distancia) Javier Fruns, Instituto Cervantes Inés Soria, Instituto Cervantes Rodrigo Agerri<https://ragerri.github.io/>, HiTz (Universidad del País Vasco, UPV/EHU) AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Oficina de Protección de datos<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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CIRCE Online Seminar 24/02/2025 - Dr. Francesca Gallina "Textbooks, ideologies and language education. An overview from different countries' teaching materials"
by Claudia Soria 18 Feb '25

18 Feb '25

🎓 CIRCE Seminar: Textbooks, ideologies and language education. An overview from different countries' teaching materials Dr. Francesca Gallina, University of Pisa, Italy Date: February 24, 2025 Time: 16:30 – 17:30 (CET) Venue: Online Attendees: Secondary school teachers, researchers, language instructors The CIRCE project <https://www.circe-project.eu> is pleased to announce the online seminar ‘Textbooks, ideologies and language education. An overview from different countries' teaching materials’ organized in collaboration with DFCLAM University of Siena, H2IOSC project and CNR ILC. Abstract: Textbooks play a pivotal role in language education, even in the era of internet and AI. For both learners and teachers, textbooks are something they use daily in the processes of learning and teaching, in the classroom or at home. According to Curdt-Christiansen and Weninger (2015) textbooks are sociocultural materials, they have the power to represent and position ideas, values and beliefs, namely they can legitimate an ideology, reflect a particular ideology and in this perspective, they can shape identity of learners. To explore textbooks as sociocultural products, we will analyze a sample of textbooks from different countries and focus on the following aspects: plurilingualism, theoretical approach, language activities, metalinguistic analysis and variation. Examples from textbooks will be presented and discussed. About the speaker: Francesca Gallina is Associate Professor of Educational Linguistics at the University of Pisa. She completed her PhD in Linguistics and didactic of Italian as L2 in 2009 with a dissertation on the development of the lexical competence of learners of Italian as a second language at the University for Foreigners of Siena. Her main research interest areas are: educational linguistics, L2 vocabulary acquisition, language contact and multilingualism, impact of language policies on the development of L2 teaching and learning processes. Her last publications are “Italiano di contatto e didattica plurilingue” (Cesati, 2021), “Osservare e valutare la competenza lessicale in italiano L2” (2022). The seminar will be hosted on the H2IOSC Training Environment to allow everyone interested to access a registration of the event. The seminar is free of charge, but participants must register. Further details and the link to register here: https://www.circe-project.eu/circe-online-seminar-series/ -- facebook <https://www.facebook.com/CNRsocialFB> twitter <https://twitter.com/CNRsocial_> instagram <https://www.instagram.com/cnrsocial/> linkedin <https://www.linkedin.com/company/283032> Claudia Soria CNR, ISTITUTO DI LINGUISTICA COMPUTAZIONALE "ANTONIO ZAMPOLLI" claudia.soria(a)ilc.cnr.it Tel. 0503153166 Via Giuseppe Moruzzi, 1, 56124 – Pisa www.ilc.cnr.it *www.cnr.it* <http://www.cnr.it/> Devolvi il 5×1000 al CNR CF 80054330586

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Funded post-doc: Multi-Dimensional Analysis of Language, Discourse and Society
by Tony Berber-Sardinha 18 Feb '25

18 Feb '25

We are offering a postdoctoral fellowship with the Graduate Program in Applied Linguistics and Language Studies, the Pontifical Catholic University of São Paulo , Brazil, funded by the São Paulo Research Foundation (FAPESP), Grant #2022/05848-7. Successful applicants will contribute research to at least one of the following topics: 1.Development and refinement of methodologies and innovative resources for MD Analysis; 2. MD description of register variation across different languages and domains; 3. MD identification of discourse surrounding socially relevant issues in the contemporary world. A full-time commitment of 40 hours per week is required. Applicants must have obtained a doctoral degree less than seven years ago. The fellowship duration is between 12 and 24 months. Interested applicants should complete the online form at: https://form.jotform.com/230804143618956 by May 31. 2025. The fellowship provides a monthly stipend of 12,000 BRL ( https://fapesp.br/valores/bolsasnopais). Project proposals and corpus data may be in either English or Portuguese. Questions, please email tnnycorpuslg(a)gmail.com

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First Call for Participation: PolyHope-M Shared Task at RANLP 2025
by Sabur B 17 Feb '25

17 Feb '25

*[Apologies for cross-posting]* Dear Researchers, We are pleased to invite you to participate in the *PolyHope-M Shared Task at RANLP 2025*, an exciting challenge aimed at advancing the computational understanding of *hope* across multiple languages. Hope is a crucial human emotion that influences decision-making, resilience, and social interactions. This shared task focuses on detecting and categorizing hope-related expressions in *English, German, Spanish, and Urdu social media texts*. Unlike traditional binary sentiment classification, *PolyHope-M* introduces a *nuanced multiclass classification approach* to distinguish between: - *Generalized Hope:* A broad sense of optimism not tied to specific outcomes. - *Realistic Hope:* Expectations grounded in achievable goals. - *Unrealistic Hope:* Desires for outcomes that are unlikely or impossible. - *Not Hope:* Texts that do not express hope. *Task Description* Participants will develop NLP models for classifying hope-related expressions through two main subtasks: 1. *Binary Hope Speech Detection* (Subtask 1 - separate for each language): Classifying texts as *Hope* or *Not Hope*. 2. *Multiclass Hope Speech Detection* (Subtask 2 - separate for each language): Distinguishing between different types of hope expressions. *Important Dates* - *Training data release:* February 20, 2025 - *Evaluation data release & evaluation start:* February 25, 2025 - *Evaluation end:* March 25, 2025 - *Publication of official results:* March 26, 2025 - *Paper submission deadline:* April 26, 2025 - *Author notifications:* May 10, 2025 - *Camera-ready submission:* June 10, 2025 - *Shared task presentation at RANLP 2025:* September 11-12, 2025 *Organizing Committee* - *Fazlourrahman Balouchzahi*, Independent Researcher, Mexico - *Sabur Butt*, Institute for the Future of Education (IFE), Tecnológico de Monterrey, Mexico - *Maaz Amjad*, Texas Tech University, Lubbock, TX, USA - *Luis Jose Gonzalez-Gomez*, IFE, Tecnológico de Monterrey, Mexico - *Abdul Gafar Manuel Meque*, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico - *Helena Gómez-Adorno*, IIMAS, UNAM, Mexico - *Bharathi Raja Chakravarthi*, University of Galway, Ireland - *Grigori Sidorov*, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico - *Thomas Mandl*, University of Hildesheim, Germany - *Hector G Ceballos*, IFE, Tecnológico de Monterrey, Mexico - *Ruba Priyadharshini*, Gandhigram Rural Institute, India - *Saranya Rajiakodi*, Central University of Tamilnadu, India *Contact Information* For any inquiries, please contact the organizing team: - *Fazlourrahman Balouchzahi:* fbalouchzahi2021(a)cic.ipn.mx - *Sabur Butt:* saburb(a)tec.mx - *Helena Gómez-Adorno:* helena.gomez(a)iimas.unam.mx For more details and participation guidelines, visit: *PolyHope-M Competition Page*: https://www.codabench.org/competitions/5635/ *RANLP Website*: https://ranlp.org/ranlp2025/ We look forward to your participation in *PolyHope-M at RANLP 2025* and your contributions toward enhancing hope speech detection across multiple languages! Best regards, Sabur Butt *Sabur Butt, Ph.D. *(He/Him) Institute for the Future of Education (IFE) *Tecnológico de Monterrey, Mexico* Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L. LinkedIn <https://www.linkedin.com/in/saburb> - GitHub <https://github.com/saburbutt> - Scholar <https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website <https://saburbutt.github.io/> The content of this data transmission must not be considered an offer, proposal, understanding or agreement unless it is confirmed in a document signed by a legal representative of ITESM. The content of this data transmission is confidential and is intended to be delivered only to the addressees. Therefore, it shall not be distributed and/or disclosed through any means without the authorization of the original sender. If you are not the addressee, you are forbidden from using it, either totally or partially, for any purpose.

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1st Call for Participation - PolyHope Shared Task at IberLEF 2025
by Sabur B 17 Feb '25

17 Feb '25

*[Apologies for cross-posting]* Dear Researchers, We are excited to invite you to participate in the *PolyHope Shared Task at IberLEF 2025*, a unique challenge focused on analyzing the expression of hope in social media texts. Hope is a fundamental human emotion influencing decision-making, yet its nuanced nature—especially when masked by sarcasm—presents significant challenges for Natural Language Processing (NLP) systems. This year, the task expands its scope to Spanish texts, emphasizing hope as an expectation alongside its existing English counterpart. *Task Description* The goal of PolyHope is to classify social media texts based on their expression of hope, with two subtasks available: 1. *Binary Hope Speech Detection (Subtask 1.a: English, Subtask 1.b: Spanish)* - *Hope:* Texts conveying hope, expectation, or desire. - *Not Hope:* Texts that do not express any hopeful sentiment. 2. *Multiclass Hope Speech Detection (Subtask 2.a: English, Subtask 2.b: Spanish)* - *Generalized Hope:* Broad optimism without specific targets. - *Realistic Hope:* Hope grounded in plausible outcomes. - *Unrealistic Hope:* Expressions of hope for unlikely outcomes. - *Not Hope:* Texts without hopeful sentiment. - *Sarcasm:* Texts that mimic hope but are sarcastic in nature. This task aims to promote research in *inclusive language technologies*, enhance the *psychological and linguistic understanding* of hope, and develop *multilingual NLP models* capable of detecting nuanced sentiment and sarcasm. *Important Dates* - *Release of training data:* February 13, 2025 - *Release of test corpora & evaluation campaign start:* March 13, 2025 - *End of evaluation campaign (submission deadline):* March 28, 2025 - *Publication of official results:* March 30, 2025 - *Paper submission:* April 25, 2025 - *Review notification:* May 20, 2025 - *Camera-ready submission:* June 3, 2025 - *IberLEF Workshop:* September 2025 - *Publication of proceedings:* September 2025 *Organizing Committee* - *Sabur Butt*, Institute for the Future of Education (IFE), Tecnológico de Monterrey, Mexico - *Fazlourrahman Balouchzahi*, Independent Researcher, Mexico - *Maaz Amjad*, Texas Tech University, Lubbock, TX, USA - *Salud María Jiménez-Zafra*, SINAI, Universidad de Jaén, Spain - *Hector G Ceballos*, IFE, Tecnológico de Monterrey, Mexico - *Grigori Sidorov*, Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico *Contact Information* For inquiries, feel free to reach out to the organizing team: - *General Inquiries:* polyhopeatiberlef(a)gmail.com - *Sabur Butt:* saburb(a)tec.mx - *Fazlourrahman Balouchzahi:* fbalouchzahi2021(a)cic.ipn.mx - *Salud María Jiménez-Zafra:* sjzafra(a)ujaen.es For more details and participation guidelines, visit: PolyHope Competition Page: https://www.codabench.org/competitions/5509/ <https://www.codabench.org/competitions/5509/> IberLEF Website: https://sites.google.com/view/iberlef-2025/home?authuser=0 We look forward to your participation in advancing research on hope speech detection! Best regards, Sabur Butt *Sabur Butt, Ph.D. *(He/Him) Institute for the Future of Education (IFE) *Tecnológico de Monterrey, Mexico* Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L. LinkedIn <https://www.linkedin.com/in/saburb> - GitHub <https://github.com/saburbutt> - Scholar <https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website <https://saburbutt.github.io/> The content of this data transmission must not be considered an offer, proposal, understanding or agreement unless it is confirmed in a document signed by a legal representative of ITESM. The content of this data transmission is confidential and is intended to be delivered only to the addressees. Therefore, it shall not be distributed and/or disclosed through any means without the authorization of the original sender. If you are not the addressee, you are forbidden from using it, either totally or partially, for any purpose.

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[CfP] LAST EXTENSION: Canadian AI 2025 – Final Deadline Feb 20 (11:59 p.m. AoE)
by pmvul089＠uottawa.ca 17 Feb '25

17 Feb '25

[Apologies if you receive multiple copies of this extended deadline CFP] ---------- LAST EXTENSION: Canadian AI 2025 - Final Deadline Extension ---------- ---------- May 26-29, 2025, in Calgary, Alberta ---------- ---------- FINAL Deadline Extension: Thursday, Feb 20, 2025 (11:59 p.m. AoE) ---------- Dear Colleagues, We want to thank all those who have submitted papers so far to our conference. In response to ongoing requests, we are granting one FINAL extension. The new and final submission deadline is **Thursday, Feb 20, 2025, by 11:59 p.m. AoE**. We invite submissions in all areas of Artificial Intelligence, either theoretical or applied, to the 38th Canadian Conference on Artificial Intelligence, taking place in Calgary on May 26-29. We also welcome position papers, which present evidence-based arguments for a particular point of view without necessarily introducing a new system. Conference proceedings will be published in PubPub open-access online format and submitted to be indexed/abstracted in leading indexing services such as DBLP, ACM, and Google Scholar. ---------- Submission Details ---------- Canadian AI is accepting submissions of both long and short papers: Long papers: Maximum 12 pages (including references) Short papers: Maximum 6 pages (including references) Formats: LaTeX and Word submissions are accepted **NEW: Each submission may include an Appendix (PDF) as supplementary material.** More information and submission templates are available under Submission Details here: https://www.caiac.ca/en/conferences/canadianai-2025/call-papers **The portal for submission can be found here:** https://cmt3.research.microsoft.com/CANADIANAI2025/ All submissions must be original, anonymized for double-blind review, and not under review elsewhere (preprints are acceptable if the title differs). ---------- Topics of Interest Include ---------- - Agent Systems - AI Applications - Automated Reasoning - Case‐based Reasoning - Cognitive Models - Constraint Satisfaction - Data Mining - Deep Learning and Neural Models - E‐Commerce - Ethics in AI, AI for social good - Evolutionary Computation - Explainable AI - Fair, Secure, Private, and Trusted AI - Games - Information Retrieval and Search - Knowledge Management - Knowledge Representation - Large Language Models - Machine Learning - Multimedia Processing - Natural Language Processing - Planning - Robotics - Uncertainty - User Modeling - Web Mining and Applications Authors of accepted long papers will be allotted time for an oral presentation during the conference. Accepted short papers will also be allotted time for a 5-minute oral presentation, followed by a poster session presentation. It is mandatory for at least one author of each accepted paper to attend the conference in person to present their work. Authors are expected to agree to this requirement before submitting their paper for review. Furthermore, the corresponding author of each paper must complete and sign a copyright form on behalf of all authors associated with the paper. It is important that the corresponding author who signs the copyright form matches the corresponding author listed on the paper. ---------- Important Dates ---------- - FINAL Submission Deadline: **Thursday, Feb 20, 2025 (11:59 p.m. AoE)** - Author Notification: Tuesday, April 1, 2025 - Camera-Ready Copy Due: Tuesday, April 15, 2025 - Conference Dates: May 26-29, 2025 ---------- Awards ---------- Best Paper Award and Best Student Paper Award will be given at the conference. To qualify for the student award, the first author must be a registered student at submission. ---------- Program Chairs ---------- Paula Branco School of Electrical Engineering and Computer Science, University of Ottawa pbranco(a)uottawa.ca https://uniweb.uottawa.ca/view/profile/members/4218?lang=en Amine Trabelsi Département d'informatique, Université de Sherbrooke Amine.Trabelsi(a)USherbrooke.ca https://www.usherbrooke.ca/informatique/trabelsi We look forward to your participation in Canadian AI 2025!

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February 2025 Newsletter - LDC
by Penn LDC 17 Feb '25

17 Feb '25

In this newsletter: LDC at LT4ALL 2025 LDC membership discounts expire March 3 Spring 2025 data scholarship recipients New publications: AIDA Scenario 3 Practice Topic Source Data and Annotation<https://catalog.ldc.upenn.edu/LDC2025T02> MATERIAL Georgian-English Language Pack<https://catalog.ldc.upenn.edu/LDC2025S01> ________________________________ LDC at LT4All 2025 LDC is pleased to be a sponsor of The 2nd International Conference on Language Technologies for All (LT4All 2025)<https://www.lt4all2025.eu/overview/>, February 24-26, 2025, organized by ELRA and SIGUL, the ELRA/ISCA Special Interest Group on Under-resourced Languages, and in partnership with UNESCO as part of the International Decade of Indigenous Languages (2022-2032). The conference theme, "Advancing Humanism through Language Technologies," focuses on community empowerment within the larger discussion on the many ways technology impacts language communities. The conference will also commemorate the Silver Jubilee of International Mother Language Day (February 21). LDC membership discounts expire March 3 Time is running out to save on 2025 membership fees. Renew your LDC membership, rejoin the Consortium, or become a new member by March 3 to receive a discount of up to 10%. For more information on membership benefits and options, visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc>. Spring 2025 data scholarship recipients Congratulations to the recipients of LDC's Spring 2025 data scholarships: Sair Buckle: Charles Sturt University (Australia): PhD student, AI and Cyber Futures Institute. Sair is awarded a copy of Avocado Research Email Corpus LDC2015T03 for her work in behavioral science. Le Phuoc Thinh Tien, Vietnam National University Ho Chi Minh City (Vietnam); Bachelor's student, Faculty of Information Technology. Le is awarded a copy of Penn Discourse Treebank Version 3.0 LDC2019T05 for his research in natural logical reasoning. The next round of applications will be accepted in September 2025. For information about the program, visit the Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: AIDA Scenario 3 Practice Topic Source Data and Annotation<https://catalog.ldc.upenn.edu/LDC2025T02> was developed by LDC and is comprised of English, Russian, and Spanish web documents (text, video, image) and annotations. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 3 scenario focused on the COVID-19 global pandemic. This corpus contains source documents and annotations for the Scenario 3 practice topics. The corpus contains 1417 root documents; 279 documents were annotated. Annotations include: * Event, relation, and entity annotation (64 documents) * Claim frame annotation: claims (true or not) relating to the COVID-19 pandemic (203 documents) * Practice topic query claim frames: example claim frames intended to be used by systems as queries to extract similar claims from additional documents (30 documents) The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations, and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating, and annotating multimodal linguistic resources in multiple languages. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * MATERIAL Georgian-English Language Pack<https://catalog.ldc.upenn.edu/LDC2025S01> was developed by Appen<http://www.appen.com/> for the IARPA MATERIAL<https://www.iarpa.gov/index.php/research-programs/material> program and contains 79 hours of Georgian conversational telephone speech, transcripts, English translations, annotations, and queries. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments. Transcripts cover approximately half of the speech files, and approximately 3% of the speech data was translated into English. This release also includes English queries and their relevance annotations. The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries. 2025 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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CfP 12th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora)
by Fábián-Trost, Annamária 17 Feb '25

17 Feb '25

Dear List, the 12th International Conference on CMC and Social Media Corpora for the Humanities (CMC-Corpora) will be held at the University of Bayreuth, Germany, on the 4th and 5th of September 2025 (CfP below). Keynotes Gavin Brookes (Lancaster University) Stephanie Evert (Friedrich-Alexander University Erlangen-Nuremberg) Deadline paper/abstract submission: 15th May 2025, 23:59 CEST The conference brings together language-centered research on CMC and social media in linguistics, philologies, communication sciences, media, and social sciences with research questions from the fields of corpus and computational linguistics, language technology, text technology, and machine learning. We adhere to a wide definition of CMC and social media, covering various media of digital communication, including email, newsgroups, forums, chat and messenger applications (e.g. WhatsApp), social networks (e.g. Facebook, Instagram, X, TikTok), gaming platforms, as well as interactions in the communication areas of video portals (YouTube), learning platforms, gaming apps, online games and virtual worlds. We invite submissions to the 12th conference on following topics: * Development of CMC corpora / social media corpora * Building CMC corpora: from data collection to publication * Open access data for CMC research: ethical and GDPR issues * Annotating CMC data: genres, linguistic aspects, metadata * Multimodal corpora * Big data corpora * Analysis of CMC corpora / social media corpora * Sociolinguistic studies of CMC * Discourse analysis of CMC * Linguistic characteristics of CMC * Multimodal (incl. visual) aspects of CMC * Multilingualism and code-switching in CMC * CMC in language education * Natural language processing (NLP) of CMC data / social media data * Normalization * PoS tagging * Lemmatization * Syntactic parsing * CMC for the benefit of digital societies * Interdisciplinary research design and research methods in CMC for the benefit of digital societies * Exploration of Diversity and Inclusion in CMC * Intersection of CMC and Social Sciences * Intersection of CMC and Human-Centered Data Science * Intersection of CMC and Computational Social Science * Contrastive CM studies across different languages The conference language is English. Submissions will consist of: * Short papers (2-4 pages – maximal 6 pages including the list of references –, following the existing template) for oral presentations * Abstracts (max. 300 words) for poster presentations Submission and review Authors of accepted papers are invited to present their work at the conference (30-minute timeslots: 20-minute talks, followed by 10 minutes of discussion). Authors of accepted abstracts can present their work in progress or early-stage research during the poster session. At the start of the conference, all accepted papers will be made available in online proceedings. After the conference, speakers with the best contributions will be invited to submit extended papers for one or more special issue journal or a volume publication. Instructions for authors All contributions will be collected via ConfTool. Templates Submission templates for MS Word and LaTeX are provided on the conference’s homepage: https://www.cmc2025.uni-bayreuth.de/en/. Important Dates * Platform opening for short paper and abstract submission: 17th February 2025 (platform open) * Deadline paper/abstract submission: 15th May 2025, 23:59 CEST More information on the CMC2025 conference: https://www.cmc2025.uni-bayreuth.de/en/ For all enquiries, please contact the organizers at cmc2025(a)uni-bayreuth.de. More information on the “International Conference Series on CMC and Social Media Corpora (cmc-corpora)”: https://cmc-corpora.org/series/# Local organizing committee: * Dr. Annamária Fábián (University of Bayreuth/Bavarian Research Institute for Digital Transformation at the Bavarian Academy of Science) * Prof. Dr. Igor Trost (Alpen-Adria University Klagenfurt/University of Passau) Scientific chairs: * Dr. Steven Coats (University Oulu) * Dr. Annamária Fábián (University of Bayreuth) * Prof. Dr. Julien Longhi (CY Cergy Paris University) * Prof. Igor Trost (Alpen-Adria University Klagenfurt/U. of Passau) * Prof. Reinhild Vandekerckhove (University of Antwerp) * Dr. Lieke Verheijen (Radboud University) Scientific committee (so far confirmed): * Paul Baker (Lancaster University) * Gavin Brookes (Lancaster University) * Noah Bubenhofer (University of Zürich) * Mario Cal Varela (Universidade de Santiago de Compostela) * Louis Cotgrove (Leibniz-Institut für Deutsche Sprache Mannheim) * Steven Coats (University of Oulu) * Orphée DeClercq (Ghent University) * Stephanie Evert (Friedrich-Alexander University Erlangen-Nüremberg) * Francisco Javier Fernández Polo (University of Santiago de Compostela) * Annamária Fábián (University of Bayreuth/Bavarian Research Institute for Digital Transformation – Bavarian Academy of Science) * Jenny Frey (European Academy of Bozen) * Aivars Glaznieks (Eurac Research Bolzano) * Claire Hardaker (Lancaster University) * Stefan Hartmann (Heinrich-Heine-University Düsseldorf) * Iris Hendrickx (Radboud University Nijmegen) * Axel Herold (Berlin-Brandenburgische Akademie der Wissenschaften) * Besim Kabashi (Friedrich-Alexander University Erlangen-Nüremberg) * Erik-Tjong Kim-Sang (Netherlands eScience Center) * Alexander Koenig (CLARIN ERIC) * Marc Kupietz (Leibniz-Institut für deutsche Sprache Mannheim) * Mikko Laitinen (University of Eastern Finland) * Els Lefever (Ghent University) * Julien Longhi (Cergy-Pontoise Université) * Harald Lüngen (Leibniz-Institut für deutsche Sprache Mannheim) * Konstanze Marx-Wischnowski (University of Greifswald) * Maja Miličević-Petrović (University of Bologna) * Nelleke Oostdijk (Radboud University) * Jan Oliver Rüdiger (Leibniz-Institut für deutsche Sprache Mannheim) * Tatjana Scheffler (Ruhr-Universität Bochum) * Steven Schoonjans (Alpen-Adria University Klagenfurt) * Mirco Schönfeld (University of Bayreuth) * Stefania Spina (Università per Stranieri di Perugia) * Egon Stemle (Eurac Research) * Caroline Tagg (The Open University) * Stefanie Ullmann (University of Cambridge) * Igor Trost (Alpen-Adria University Klagenfurt/Universität Passau) * Reinhild Vandekerckhove (University of Antwerp) * Lieke Verheijen (Radboud University) * Stefanie Walter (Technical University Munich) * Katrin Weller (GESIS Cologne) All the best, Annamaria Fabian (Bayreuth) and Igor Trost (Klagenfurt/Passau) Dr. Annamaria Fabian Principal Investigator (Post-Doc) of the project "Disability diversity and the communicative realization of inclusion on Social Media" Department German Linguistics University of Bayreuth https://www.gl.uni-bayreuth.de/de/team/A-Fabian/index.php Member of the Bavarian Research Institute for Digital Transformation (Bavarian Academy of Science) Head of the Research Group "Diversity and Inclusion in Digital Societies" Newly published: Annamaria Fabian, Igor Trost, Kevin Altmann & Mara Schwind (2024): The analysis of ‘inclusion’ and ‘accessibility’ in Computer-Mediated-Communication for an inclusive transformation in digital societies. pp. 16-20 (double-side print). In: Céline Poudat, Mathilde Guernut. Proceedings of the 11th Conference on CMC and Social Media Corpora for the Humanities. 11th Conference on CMC and Social Media Corpora for the Humanities (CMC 2024), CORLI; Université Côte d’Azur, 2024. halshs-04673776v1 available here: https://cmc-corpora-nice.sciencesconf.org/data/pages/CMC2024_2_.pdf

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Shared Task on Critical Questions Generation: Call for Participation
by Blanca Calvo 17 Feb '25

17 Feb '25

We are pleased to announce the first shared task on Critical Questions Generation, hosted at The 12th Workshop on Argument Mining, co-located in ACL 2025 in Vienna, Austria. All details can be found in: https://hitz-zentroa.github.io/shared-task-critical-questions-generation/ **Introduction** In recent years, a growing concern within the educational community has been whether the widespread use of LLM-based chats could foster superficial learning habits and weaken students' critical thinking skills. To counter this trend, in this task, we propose using LLMs to guide users towards asking critical questions. That is, questions that can uncover fallacious or poorly constructed arguments. In short: **we want to foster critical thinking by developing a system that generates insightful critical questions when given argumentative texts**. In the same line, Natural Language Processing applications to deal with misinformation are a popular line of research. However, most applications face challenges regarding three issues: LLMs often lack the required up-to-date knowledge for these tasks, there is not always an agreement on what is the truth, and LLMs themselves can produce hallucinations or rely on unfaithful data, generating misinformation of their own making. **Yet, instead of requiring the LLMs to output factual knowledge, could we use them to point at the missing or potentially uninformed claims?** **What is the task of Critical Questions Generation?** The task of Critical Questions Generation consists of generating useful critical questions when given an argumentative text. For this purpose, a dataset of real debate interventions with associated critical questions will be released. Critical Questions are the set of inquiries that should be asked in order to judge if an argument is acceptable or fallacious. Therefore, these questions are designed to unmask the assumptions held by the premises of the argument and attack its inference. In the dataset, the argumentative texts are interventions of real debates, which have been annotated with Argumentation Schemes and later associated with a set of critical questions. For every intervention, the speaker, the set of Argumentation Schemes, and the critical questions are provided. These questions have been annotated according to their usefulness for challenging the arguments in each text. The labels are either Useful, Unhelpful, or Invalid. The goal of the task is to generate critical questions that are Useful. The participant will be asked to develop a system that gets one of the interventions as input, and outputs exactly 3 critical questions. The 3 critical questions should all be useful for challenging the arguments in the intervention. Each of these 3 critical questions will be evaluated separately and then the punctuation will be aggregated. You can either create a system that generates only Useful CQs, or you can decide to generate many CQs and choose the top 3. For more information on Critical Questions Generation, please read Critical Questions Generation: Motivation and Challenges <https://aclanthology.org/2024.conll-1.9/> **Important Dates** - Sample data available: 17th February - Validation data ready: 21st February - Evaluation start: 28th March - Evaluation end: 4th April - Paper submission due: 25th April - Notification to authors: 2nd May - Camera ready due: 9th May - Workshop: 31st July (co-located with ACL 2025) **Organizers of the shared task** - Blanca Calvo Figueras <https://github.com/BlancaCalvo>, HiTZ Basque Center for Language Technology - Ixa, University of the Basque Country UPV/EHU, Spain - Rodrigo Agerri <https://ragerri.github.io/>, HiTZ Basque Center for Language Technology - Ixa, University of the Basque Country UPV/EHU, Spain - Elena Cabrio <https://www-sop.inria.fr/members/Elena.Cabrio/>, University of Côte d’Azur and member of the Inria-I3S research team Wimmics - Serena Villata <https://webusers.i3s.unice.fr/~villata/Home.html>, University of Côte d’Azur and member of the Inria-I3S research team Wimmics **Do you have other questions?** Please become a member of the Google Group "critical-questions-generation-shared-task" <https://groups.google.com/g/critical-questions-generation-shared-task> to keep yourself updated. For specific questions, contact blanca.calvo(a)ehu.eus Website: https://hitz-zentroa.github.io/shared-task-critical-questions-generation/

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Lectureship in NLP at University of Surrey
by Diptesh Kanojia 17 Feb '25

17 Feb '25

Dear all, Apologies for cross-posting. School of Computer Science and Electrical Engineering at the University of Surrey is seeking to recruit lecturers in Computer Science (NICE Research group) and at the Institute for People-Centred AI. Please find information about both positions below and listings for other senior roles as well. Lecturer in Natural Language Processing [https://jobs.surrey.ac.uk/009525] The School is home to two established research centres with expertise in AI and Machine Learning: the Computer Science Research Centre and the Centre for Vision, Speech and Signal Processing (CVSSP). This post is aligned to the Nature Inspired Computer and Engineering group within Computer Science. The Nature Inspired Computing and Engineering group solves real-world problems in healthcare and sustainability, complex networks, robotics, natural language processing (NLP), and other areas, as well as foundational research in Machine Learning. For example, our colleagues specialising in NLP research have expertise in language modelling, machine translation, semantic web, and multimodal challenges aligned with NLP. This role encourages applicants from the areas of natural language processing including language modelling, language generation (machine translation/summarisation), explainability and reasoning in NLP, and/or aligned multimodal challenges for NLP (vision-language, audio-language, and so on) and we are particularly interested in candidates who enhance our current strengths and bring complementary areas of AI expertise. Department: Computer Science Location: Guildford Salary: £46,735 to £55,755 per annum Post Type: Full Time Closing Date: 23.59 hours GMT on Wednesday 12 March 2025 Interviews are planned to take place on 7th April, 2025 For informal enquiries, please contact Professor Steve Schneider, s.schneider(a)surrey.ac.uk Lecturer in People-Centred AI [https://jobs.surrey.ac.uk/009725] The School of Computer Science and Electronic Engineering together with the Surrey Institute for People-Centred AI is seeking to recruit a full-time Lecturer in People-Centred Artificial Intelligence to expand our team of dynamic and highly skilled AI researchers. The School is home to two established research centres with expertise in AI and Machine Learning: the Centre for Vision, Speech and Signal Processing (CVSSP) and the Computer Science Research Centre. This post is aligned to CVSSP. CVSSP is an internationally recognised leader in artificial intelligence for audio-visual machine perception pioneering foundational research in the field over the past 40 years. With a diverse community of more than 150 researchers, we are one of the largest audio and vision research groups in the UK. Research in the Centre has led to award-winning spin-out companies in the biometric, communication, healthcare, and creative industries. CVSSP has a long-standing international track record in AI research, ranking 1st in the UK for computer vision and 3rd in the UK for computer vision, AI and robotics based on publication in leading academic forums (CSRankings.org). CVSSP and Computer Science are at the core of the Surrey Institute for People-Centred AI (PAI) established in 2021 as a pan-University initiative which brings together leading AI research with cross-discipline expertise across health, social, behavioural, and engineering sciences, and business, law, and the creative arts to shape future AI to benefit people and society. This role encourages applicants from the areas of creative technologies, media provenance, audio-visual AI, foundation models, generative AI, and complementary areas of people-centred AI expertise. Department: Centre of Vision, Speech & Signal Processing Location: Guildford Salary: £46,735 to £55,755 per annum Post Type: Full Time Closing Date: 23.59 hours GMT on Wednesday 12 March 2025 Planned Interview Date: Monday 31 March 2025 For informal enquiries, please contact Professor Adrian Hilton, a.hilton(a)surrey.ac.uk -- Full list of vacancies at the School of CS and EE: *Role Title* *Role Link* Professor in Satellite Communications *https://jobs.surrey.ac.uk/009225 <https://jobs.surrey.ac.uk/009225>* Lecturer in Natural Language Processing *https://jobs.surrey.ac.uk/009525 <https://jobs.surrey.ac.uk/009525>* Lecturer in Cyber Security *https://jobs.surrey.ac.uk/009425 <https://jobs.surrey.ac.uk/009425>* Senior Lecturer in Cyber Security *https://jobs.surrey.ac.uk/009325 <https://jobs.surrey.ac.uk/009325>* Lecturer in Robotics *https://jobs.surrey.ac.uk/009625 <https://jobs.surrey.ac.uk/009625>* Lecturer in People-Centred AI *https://jobs.surrey.ac.uk/009725 <https://jobs.surrey.ac.uk/009725>* Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 10 for AI, computer vision, machine learning and natural language processing (CSRankings.org) and were 7th in the UK for REF2021 outputs in Computer Science research. Computer Science and CVSSP are at the core of the Surrey Institute for People-Centred AI (PAI), established in 2021 as a pan-University initiative which brings together leading AI research with cross-discipline expertise across health, social, behavioural, and engineering sciences, and business, law, and the creative arts to shape future AI to benefit people and society. PAI leads a portfolio of £100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 PhD researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion, and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Regards, *Dr Diptesh Kanojia <https://dipteshkanojia.github.io/> **(he/him)* Lecturer in Artificial Intelligence for Natural Language Processing <https://www.surrey.ac.uk/people/dr-diptesh-kanojia> Surrey Institute for People-Centred AI <https://www.surrey.ac.uk/artificial-intelligence> | School of CS & EE <https://www.surrey.ac.uk/school-computer-science-and-electronic-engineering> Office: 13BA02, University of Surrey, Guildford, Surrey, GU2 7XH, UK *"Nearly everyone can stand adversity, but if you want to test their character, give them power."*

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