July 2025 - Corpora - ELRA lists

ACL'25 Tutorial on "Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers"
by ACL Announcements 08 Jul '25

08 Jul '25

Dear ACL members and ACL'25 attendees, At ACL 2025 in Vienna, we will host a Tutorial on "Navigating Ethical Challenges in NLP: Hands-on strategies for students and researchers" (https://2025.aclweb.org/program/tutorials/). So if you ever wanted to learn (more) about ethical challenges or to understand them better, this is your chance. In order to tailor the tutorial to the attendees' needs, we set up a small survey, which should only take about 5-10 minutes to fill out. It gives you a chance to tell us about what your needs are to understand Ethical Challenges in NLP better. And we can take your needs into account. Please participate both in the survey and in the tutorial -- the more the merrier! You can find it here: https://www.soscisurvey.de/tutorial484456/ Best regards Margot Mieskes (on behalf of the Tutorial Organizers)

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Second Call for Papers: Identity-Aware AI 2025
by Soda Marem Lo 08 Jul '25

08 Jul '25

Ethical and Technical Challenges for Identity-Aware AI Workshop at ECAI 2025 <https://ecai2025.org/workshops/>, Bologna, Italy, October 25-30. https://identity-aware-ai.github.io/ Workshop theme: What makes each of us unique, and which ethical and technical challenges does this imply? Overview What makes us unique? Language (and thus the automatic processing of it) is about people and what they mean. However, current practice relies on the assumptions that the involved humans are all the same, and that if enough data (and compute power) is present, the resulting generalizations will be robust enough and represent the majority. This approach often harms marginalized communities and ignores the notion of identity in models and systems. Our interdisciplinary workshop aims to raise the question of “what makes each of us unique?” to the AI community. We seek to gather researchers from diverse fields to understand how the identities of all stakeholders — e.g., the individuals projecting their views in texts, the individuals perceiving the texts, the individuals mentioned and those not mentioned in the texts — should be considered in future research in AI. Workshop Goals - The development of a shared and interdisciplinary understanding of identities and how identity is treated in AI. - The development of new methods that push the effective, fair, and inclusive treatment of individuals in AI to the next level. Topics of Interest We invite submissions on the following topics: - Approaches to model subjective phenomena: Personalization and perspectivist methods that leverage disaggregated labeled data, encoding annotator metadata on their beliefs, moral values, sociodemographic features, or personal narratives. ML methods to address the challenges of “learning from disagreements” both from the development of new models and the collection of data to train such models. - Methods for detecting and controlling bias in models and data: Techniques to audit fairness, enforce fairness constraints, and learn fair representation from data, in order to enhance the fairness of models while maintaining their predictive reliability. Ethical challenges for LLMs in identity-aware dialog and tasks: diversity, stereotypes, harms. - The role of sociodemographics in LLMs: Such as which characteristics (and disagreements) they embody and how to measure their capacity for representing and reasoning about diverse types of identities. - Challenges for applying AI methods to model socio-political phenomena: Including polarization, impact of media consumption on public opinion formation, agenda setting, deliberation support, and how integrating identity into AI methods can influence the accuracy for these tasks. - NLP work at the intersection with social psychology: The methodological foundation for quantitative investigation of identity-related topics. The reflection on best practices to reliably measure complex constructs such as morals and values. Detection and analysis of personal narratives across cultures. - Accountability of AI in the eye of the general public: The role of LLMs, and the responsibilities of AI and NLP developers for ethical use of identities. - NLP work at the intersection of survey science: The use of LLMs to model and simulate individuals and subpopulations; the role of LLMs in personalizing information elicitation; and methodological approaches to address data contamination and response validation when LLMs are used by either researchers or respondents. Submission Types We welcome the following types of submissions: - Long papers: Up to 8 pages (excluding references) - Short papers: Up to 4 pages (excluding references) - Non-archival submissions, student project presentations, mixed-media submissions: No page limit - For non-archival submissions, we welcome creative formats including: - Art, poetry, music - Blog posts - Jupyter notebooks - Teaching materials - TikToks and videos - Findings papers - Late-breaking papers - Extended abstracts - For creative format submissions, please submit a PDF containing: - A summary or abstract of your work - A link to your work (if hosted externally) - Any additional context or documentation Submission Guidelines - All submissions will be double-blind reviewed - Submissions should follow ECAI formatting guidelines <https://www.ecai2024.eu/calls/main-track> with the latex template here <https://ecai2024.eu/download/ecai-template.zip> - Submit your paper through EasyChair <https://easychair.org/conferences/?conf=identityawareai2025> - Accepted papers will be published in the workshop proceedings through CEUR Workshop Format The workshop will be a half-day event featuring: - Keynote speeches from leading experts in the field - Paper presentations (oral and lightning talks) - Participatory design activity to develop a shared interdisciplinary vocabulary, identify current gaps in datasets for studying identity, and design a vision for collecting new datasets - Special student project session We are committed to ensuring that our workshop is accessible to all. The workshop will be held in a hybrid format, allowing both in-person and virtual participation. Important Dates - Submissions: 22 August - Notifications: 26 September - Camera-ready: 3 October - Workshop: 25 October Diversity & Inclusion We actively encourage submissions from underrepresented communities and countries. The workshop organizers will provide mentorship and thorough feedback, especially to first-time authors and reviewers. Organizers - Pranav A (University of Hamburg) - Valerio Basile (University of Turin) - Neele Falk (University of Stuttgart) - David Jurgens (University of Michigan) - Gabriella Lapesa (GESIS, Leibniz Institute for the Social Sciences & Heinrich-Heine University of Düsseldorf) - Anne Lauscher (University of Hamburg) - Soda Marem Lo (University of Turin) Contact For queries, please contact: identity-aware-ai(a)googlegroups.com Join us at Identity-aware AI 2025 to contribute to this important conversation!

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Job: Faculty position (Associate professor, tenure position) at Telecom Paris in Machine Learning for Natural Language Processing
by Maria Boritchev 08 Jul '25

08 Jul '25

[Apologies for cross postings] ******************************************************** Faculty position (Associate professor, tenure position) at Telecom Paris in Machine Learning for Natural Language Processing Version française : [ https://institutminestelecom.recruitee.com/o/assistantassociate-professor-i… | https://institutminestelecom.recruitee.com/o/assistantassociate-professor-i… ] English Version: [ https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profes… | https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profes… ] Telecom Paris has a new permanent (tenure) faculty position (Associate Professor/ “Maître/Maîtresse de conférences”) in Machine Learning for Natural Language Processing. Applicants from the following sub-research areas are particularly welcome: - Generative models, Conversational AI - Bias and Explainability in AI - Frugal Machine Learning Important Dates September 5, 2025 : closing date for applications Main missions - Participate in the design and implementation of teaching programs in the field of machine learning for language processing - Conduct research in your scientific field - Participate in the development of partnerships, collaborations and contractual relationships in your scientific field - Participate in teaching activities at Telecom Paris and its partner academic institutions (as part of joint Master programs), especially in natural language processing, speech processing, machine learning, and Data Science, including life-long training programs (e.g. the local “Mastères Spécialisés”). Candidate profile As a minimum requirement, the successful candidate will have: - A Ph.D. degree - A track record of research and publication in one or more of the following areas: machine learning, natural language processing, generative speech and signal processing, human-agent interactions, social robotics - Experience in teaching - An international postdoctoral experience is welcome but not mandatory - Excellent command of English NOTE: The candidate does *not* need to speak French to apply, just to be willing to learn the language (teaching will be mostly given in English). Other expected skills include: - Capacity to work in a team and develop good relationships with colleagues and peers - Excellent writing and pedagogical skills More about the position Place of work: Saclay (Paris outskirts) Context: - S²A (machine learning, statistics and signal processing) group [ https://www.telecom-paris.fr/en/research/laboratories/information-processin… | https://www.telecom-paris.fr/en/research/laboratories/information-processin… ] - LTCI (laboratoire de traitement et communication de l’information) [ https://www.telecom-paris.fr/en/research/laboratories/information-processin… | https://www.telecom-paris.fr/en/research/laboratories/information-processin… ] - Télécom Paris [ https://www.telecom-paris.fr/en/home | https://www.telecom-paris.fr/en/home ] Ecosystem: Télécom Paris is a founding member of the Institut Polytechnique de Paris (IP Paris, [ https://www.ip-paris.fr/en/ | https://www.ip-paris.fr/en/ ] ), a world-class scientific and technological institution. Located at the Plateau de Saclay close to Paris-Saclay University, this Institution is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris, Télecom SudParis, with HEC as a key partner. Regularly ranked as one of the best engineering schools in France, Télécom Paris is recognized for its excellent training, its very good employability rate with high salaries, its high-level research, and its very close proximity to companies. The THE (Times Higher Education, [ https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-… | https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-… ] ) ranks Télécom Paris 2nd best French engineering school, 5th better French university, and 6th « best small university ». The newly created institution IP Paris was ranked in the top 50 best universities in the QS world university ranking. In the context of the Institut Polytechnique de Paris, the activities in Data Science and AI of the team benefit from the center Hi!Paris ( [ https://www.hi-paris.fr/ | https://www.hi-paris.fr/ ] ), offering seminars, workshops, and fundings through calls for project. How to apply? Applications must be submitted via one of the following websites: French Version [ https://institutminestelecom.recruitee.com/o/assistantassociate-professor-i… | https://institutminestelecom.recruitee.com/o/assistantassociate-professor-i… ] English Version [ https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profes… | https://institutminestelecom.recruitee.com/l/en/o/assistantassociate-profes… ] Applicants should submit: - Cover letter, - Curriculum vitae, - Statements of research and teaching interests (4 pages maximum each) - Three publications - Contact information for two references Contacts - please contact us directly before applying: Maria Boritchev Matthieu Labeau Stéphan Clémençon (Head of the S²A group) Florence Tupin (Head of the IDS department)

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[Final CFP] MAHED 2025: the First Shared Task on Multimodal Detection of Hope and Hate Emotions in Arabic Content
by Wajdi Zaghouani 07 Jul '25

07 Jul '25

We’re excited to launch MAHED 2025, the first multimodal shared task on Hope and Hate Detection in Arabic content, part of ArabicNLP 2025 @ EMNLP 2025. This challenge promotes ethical AI in Arabic by addressing hate speech, hope speech, and emotion detection in both text and memes. Website: https://marsadlab.github.io/mahed2025/ Three Tasks: 1. Hope & Hate Speech Classification Classify Arabic text as hope, hate, or neutral. Register: https://www.codabench.org/competitions/9136/ 2. Multitask Emotion & Offensive Detection Detect emotions, offensive language, and hate in text. Register: https://www.codabench.org/competitions/9166/ 3. Multimodal Hateful Meme Detection Identify hate in Arabic memes (text + image). Register: https://www.codabench.org/competitions/9192/ Key Dates: * June 10: Data & scripts released * July 20: Final registration & test set * July 25: Submission deadline * Nov 5–9: Workshop @ EMNLP 2025, Suzhou, China

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17 month postdoc position in Natural Language Processing at the University of Copenhagen
by Desmond Elliott 07 Jul '25

07 Jul '25

The Natural Language Processing Section at the Department of Computer Science at University of Copenhagen is advertising a 17 month position for a Postdoctoral Researcher in Natural Language Processing. The position involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in modelling low-resource languages. Applicants are also expected to contribute to work on data pre-processing, tokenization, model training. The candidate will be affiliated to the project group Danish Foundation Models, (https://www.foundationmodels.dk/) which is a collaboration between several major universities in Denmark addressing the aforementioned initiative, including Aarhus University, Southern Danish University, the Alexandra Institute, and the University of Copenhagen. The candidate will be co-supervised from both the Centre for Language Technology and the Department of Computer Science and will be physically located in both places during their employment. The successful candidate will join the Language and Multimodal Processing group, which is part of a section with a strong, international, and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics, and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about the group is available here: https://lampgroup.github.io/, and further information about the Department is available here: https://di.ku.dk/english/. The application deadline is August 15, 2025, with interviews on September 4, 2025, and a start date of 15 October, 2025, or as soon as possible thereafter. Further information about the position can be found here: https://employment.ku.dk/faculty/?show=164490. Inquiries about the position can be made at de(a)di.ku.dk. Interested candidates can also reach out to schedule an informal discussion during the ACL 2025 conference in Vienna.

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New Publication in Corpus Linguistics
by Susan Hunston 07 Jul '25

07 Jul '25

Dear list members, I'm delighted to announce an exciting new publication in the Cambridge Elements in Corpus Linguistics series. The title is "Automatic Image Tagging for Corpus Linguistics: a multimodal study of news representations of Islam", and the authors are Paul Baker, Hanna Schmük and Yufang Qian. The Element offers a test of Vertex AI for automatically tagging images, using analyses of the written text, the images, and the interaction between them. It offers a critical evaluation of the software used in this context, and also acts as a practical guide for researchers in this area. The Element is available as an Open Access publication here: Automatic Image Tagging for Corpus Linguistics<https://www.cambridge.org/core/elements/automatic-image-tagging-for-corpus-…> Susan Hunston

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PhD scholarship in (Computational) History / Cultural Anthropology / Ecology / Geography
by Haider, Thomas 07 Jul '25

07 Jul '25

The Hansen Foundation is offering a doctoral scholarship in (Computational) History / Cultural Anthropology / Ecology / Geography at the University of Passau as soon as possible. With your relevant work, we are looking for correlations and possibly interactions between cultural factors on the one hand and landscape factors on the other in the region of the entire Šumava (Bavarian Forest). The area under investigation is not only attractive because of its nature and proximity to Passau, but is also particularly interesting for the research question, as the Šumava is a region that was and is characterized by (historical and current) political borders, but geologically represents a uniform mountain landscape. The scholarship is embedded in the project “Regional Collectives at the End of the Weimar Republic” of the Passau Chairs of German Linguistics and Computational Humanities. For the first time, we are systematically processing the materials of the Atlas of German Folklore (1930-1935) for Bavaria - the largest humanities research project ever undertaken in Germany. The atlas used questionnaires to document people's everyday culture at the end of the Weimar Republic. For Bavaria alone, there are a total of 450,000 data records for 1,820 places, which are available to you for your doctoral project. You will enrol as a doctoral student at the University of Passau and be supervised by Professor Dr Malte Rehbein (Computational Humanities), who will serve as your primary advisor. At the same time, you will receive non-personalised support from the Hansen Foundation and its subordinate Research Centre for the Study of Collectives at the University of Regensburg. The project is embedded in a broader research context that includes collaboration with another scholarship holder, the research initiatives of the Chairs of Computational Humanities and Linguistics, the Computational Historical Ecology research programme, and the Passau Methodikum. It is designed to transcend traditional disciplinary boundaries and encourage a shift in perspective. Depending on your academic background, you will bring a focus from ecological, historical, cultural studies, or historical-geographical perspectives. A central aspect of the project is the joint consideration of research subjects as machine-readable data. The dissertation will also contribute to the development of a “Big Data source criticism,” which adapts and extends traditional historical methodology to large-scale datasets. Requirements include a successfully completed university degree with a focus in history, folklore/empirical cultural anthropology, geography, ecology, digital humanities, or a related field. You should have a strong interest in topics such as environmental, everyday, or social history, cultural or geoanthropology, or historical ecology. As our work is data-driven, you will need relevant skills in the analysis of research data — for example, through quantitative methods, databases, geographic information systems (GIS), or text and data mining. You will be closely integrated into the Passau-based research groups throughout your project and will have the opportunity to acquire and develop any necessary skills there. A good reading proficiency in German is required. The financial support provided by the foundation amounts to €1,400 per month (tax-free). The foundation permits up to ten hours of secondary employment per week. If the necessary qualifications and funding are in place, this may take the form of work on another research project within the Chair of Computational Humanities. The scholarship is limited to two years. We will actively support the search for follow-up funding to complete the doctorate in good time. Residency in Passau is desirable and beneficial, but not a strict requirement. Curious? Interested? Then please submit an academic CV including transcripts, along with a motivation letter outlining your interest in the project and in pursuing further academic qualifications (in a single PDF). If your application sparks our curiosity and interest, we will invite you to an interview. Please send your application directly to malte.rehbein(a)uni-passau.de by 25 July 2025. If you have any questions, feel free to contact Malte Rehbein directly. Link: https://che.hypotheses.org/883 ---- Dr. phil. Thomas Nikolaus Haider Computational Humanities and Multilingual Computational Linguistics University of Passau

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Call for Papers: CASE 2025 @ RANLP (8. Challenges and Applications of Automated Extraction of Socio-political Events from Texts)
by Ali Hurriyetoglu 06 Jul '25

06 Jul '25

Call for Papers: CASE 2025 @ RANLP (8. Challenges and Applications of Automated Extraction of Socio-political Events from Texts) Dear Colleagues, We are pleased to announce the 8th edition of the Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, held in conjunction with RANLP 2025 (https://ranlp.org/ranlp2025/)! CASE is a leading venue for research, resources, and practical advances in automated event extraction and analysis, focusing on social and political event data. It has been organized consistently in top venues like ACL, EMNLP, EACL, etc. We invite submissions of research papers, resource papers, and position papers addressing (but not limited to) the following topics: • Event extraction at the sentence, document, or cross-document level, including event coreference. • Creation and annotation of datasets for event extraction. • Modeling event-event relations such as subevents, causal, temporal, and spatial links. • Evaluation of event datasets: reliability, validity, and coverage. • Event schemas and ontologies: population, definition, and enrichment. • Tools, pipelines, and infrastructure for event annotation and analysis. • Linguistic aspects of event representation: lexical, syntactic, semantic, discursive, and pragmatic. • Applications of event data in conflict prediction, early warning, and policy support. • Detection of new event types, including protests, public health crises, and cyber activism. • Bias, fairness, and misinformation in event extraction systems and datasets. • Legal, ethical, and privacy considerations in dataset creation and dissemination. • Cross-lingual, multilingual, and multimodal event extraction. • Use of LLMs and generative AI for event extraction, analysis, and dataset generation. • Release of new benchmarks, datasets, or annotation resources. All accepted papers will be published in the ACL Anthology. Website: https://emw.ku.edu.tr/case-2025/ (being updated! please get in touch with ahurriyetoglu(a)ku.edu.tr for any questions) Link for submission: https://softconf.com/ranlp25/CASE2025/user/ Important dates: Submission Deadline: 25 July 2025 Notification: August 17, 2025 Camera-ready deadline: August 30, 2025 Workshop date: September 11-13, 2025 Shared task Multimodal detection of hate speech, humor, and stance in LGBTQ+ socio-political discourse To know more and participate, please visit: https://github.com/therealthapa/case2025-multimodal/blob/main/README.md All shared task papers will also be published in the ACL anthology. Organizers: Surendrabikram Thapa, Siddhant Bikram Shah, Shuvam Shiwakoti, Kritesh Rauniyar, Surabhi Adhikari, Kristy Johnson, Ali Hürriyetoğlu, Hristo Tanev, Usman Naseem Organizing committee: Ali Hürriyetoglu Hristo Tanev Surendrabikram Thapa Vanni Zavarella Erdem Yörük

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Public talk - Clarify your references in Minecraft (Prof Massimo Poesio, Queen Mary University of London, University of Utrecht)
by h.dong2＠exeter.ac.uk 04 Jul '25

04 Jul '25

We are pleased to welcome you to the next Natural Language Processing and Vision (NLPV) seminar. The talk is supported by IDSAI at the University of Exeter. Scheduled: Friday 18 July 2025 at 15:00 to 16:00, GMT+1 Location: Harrison 203, Streatham Campus, University of Exeter, and Microsoft Teams https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmE5YjYyN2MtNDJjOS00… (Meeting ID: 378 068 893 795 Passcode: dc94qv6p) Title: Clarify your references in Minecraft Speaker's short bio: Massimo Poesio is a Professor in Computational Linguistics at Queen Mary University of London and a Professor of Natural Language Understanding at the University of Utrecht. His research interests include disagreements in language interpretation; anaphora resolution; the creation of semantically annotated corpora, in particular using games-with-a-purpose such as LingoTowns; the study of conceptual knowledge using a combination of methods from human language technology and neuroscience; semantic interpretation of verbal and non-verbal communication in interaction; and using NLP to combat deception, misinformation and offensive language online. Useful links: www.massimopoesio.org https://www.arciduca.org https://sites.google.com/view/dealingwithmeaningvariation/ http://lingotowns.com https://dali.eecs.qmul.ac.uk/project https://universalanaphora.github.io/UniversalAnaphora/ We will update future talks on the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars Joining our *Google group* for future seminars and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…

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LAW-XIX 2025 - Call for Participation
by Ines Rehbein 04 Jul '25

04 Jul '25

*LAW-XIX 2025 - Call for Participation* The 19th edition of the Linguistic Annotation Workshop (https://sigann.github.io/LAW-XIX-2025) will be held on the 31th of July 2025 in Vienna, Austria, co-located with ACL 2025. *Workshop description* The Linguistic Annotation Workshop (LAW) is the annual workshop of the ACL and ELRA Special Interest Group on Annotation (SIGANN), and it provides a forum for the presentation and discussion of innovative research on all aspects of linguistic annotation, including the creation and evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. As in the past, the LAW will provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. * Keynote speakers* Rotem Dror, University of Haifa Junyi Jessy Li, University of Texas at Austin For more details, see: https://sigann.github.io/LAW-XIX-2025/invited.html *Workshop program:* https://sigann.github.io/LAW-XIX-2025/program.html * Registration details:* https://2025.aclweb.org/registration The LAW-XIX organisers Ines Rehbein & Logan Siyao Peng -- Ines Rehbein Data and Web Science Group University of Mannheim, Germany

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