June 2025 - Corpora - ELRA lists

Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 14 Oct '25

14 Oct '25

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

1 1

CORRECTED DATES: Call for Papers: Slav-NLP: 10th Workshop on NLP forSlavic Languages
by Roman Yangarber 17 Jul '25

17 Jul '25

**Call for Papers:* * * Slav-NLP:10thWorkshoponNLP for Slavic languages At ACL-2025, Vienna, Austria 31 July 2025 http://bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/> Submission Deadline: 3 May ** WORKSHOPDESCRIPTION The 10th edition of the Slav-NLP Workshop — at ACL 2025. Sponsored by SIGSLAV: ACL Special Interest Group on Slavic NLP. Slavic languages play a crucial role due to their diverse cultural heritage and wide use — over 400M speakers worldwide. Current political and economic developments in Central/ Eastern Europe thrust the Slavic languages into sharp focus, especially in light of rapid technological advancements, and evolving consumer markets. Research on applied **and ***theoretical*NLP in the context of Slavic languages is still lagging. Linguistic phenomena that are common to the Slavic languages — rich morphology, free word order, etc. — make NLP for these languages challenging. Slav-NLP Workshops gather researchers from academia and industry, aiming to stimulate research in Slavic NLP, and foster the creation of tools and resources. The Workshops welcome the exchange of ideas and experience, discussing current challenges, and promoting the available resources. The structural similarity, as well as the easily recognizable core vocabulary and inflectional inventory spanning this large language group, creates a special environment where researchers can appreciate the shared problems and communicate naturally. We are happy *again *to organize Slav-NLP in Central Europe. This Workshop addresses Natural Language Processing (NLP) for the Slavic languages. NLP tasks in urgent need of attention include: * language modeling, * morphological, syntactic and semantic analysis, * lexical semantics, * named-entity recognition, * text normalization and processing non-standard language, * co-reference resolution, * information extraction, * question answering, * text summarization, * machine translation, * development of linguistic resources, * development and assessment of large language models, * text classification, * text generation, * disinformation detection, * fact verification, * sentiment analysis. The Workshop continues the proud tradition established by the 9 previous (B)SNLP Workshops. IMPORTANT DATES * Submission deadline: *3 May*2025 * Pre-reviewed ARR commitment20 May 2025 * Notification of acceptance: *1 June*2025 * Camera-ready papers due: 15 June 2025 * Workshop: 31 July 2025 ** SHARED TASK This year the Slav-NLP Workshop features — Shared Task on Detection and Classification of Persuasion Techniques— in two types of texts: (a) parliamentary debateson highly-contested topics, and (b) social media postsrelated to the spread of propaganda and disinformation. Read about the Shared Task on the Workshop’s Web page. SUBMISSION At the Workshop’s Web page: bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/call-for-papers.html> * * Workshop Contact: bsnlp(a)cs.helsinki.fi * -- Roman Yangarber Professor, University of Helsinki, Finland Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------ e-Learning & language learning Language Learning Lab Unioninkatu 40, Metsätalo A214 helsinki.fi/revita <https://www.helsinki.fi/revita> helsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------ RЯ

1 1

Gaze4NLP - The First International Workshop on Gaze Data and Natural Language Processing
by Cengiz Acarturk 17 Jul '25

17 Jul '25

**First Call for Papers** Gaze4NLP - The First International Workshop on Gaze Data and Natural Language Processing September 11-13, 2025, Varna, Bulgaria (co-located with RANLP 2025) The First Workshop on Gaze Data and Natural Language Processing (Gaze4NLP), co-located with RANLP 2025 in Varna, Bulgaria, invites papers of a theoretical or experimental nature describing research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identifying challenges to resolve in the intersection of the two domains: eye tracking and NLP. Gaze4NLP aims to bring together researchers conducting research on eyes on eyes on text and NLP; and establishing bridges between them for identifying future venues of research. Workshop webpage: https://gaze4nlp.github.io/Gaze4NLP2025/about.html Important Dates Workshop paper submission deadline: 6 July 2025 Workshop paper acceptance notification: 31 July 2025 Workshop paper camera-ready versions: 30 August 2025 Workshop camera-ready proceedings ready: 8 September 2025 Workshops: 11-13 September 2025 All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) Topics for the workshop will include, but are not limited to: - Investigating the pillars for bridging the gap between the research on eyes on text and NLP. Study how to expand research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identify challenges, issues to resolve. - Exploring new areas so that both fields benefit from each other better than the past, identifying novel domains of exploration for further research. - Discussing how to develop cognitively inspired models that align human reading data with LLMs. Submissions We solicit regular workshop papers, which will be included in the proceedings as archival publications. All categories of papers may be long (maximum 8 pages of content + up to one page for limitations (required) + unlimited references) or short (maximum 4 pages of content + up to one page for limitations (required) + unlimited references). Accepted papers will be presented in the form of either oral or poster presentations. Please note that camera-ready papers are allowed an additional page. The workshop proceedings will be part of the ACL anthology. Accepted papers will also be given an opportunity with an extended version to be published as part of an edited book. Submission link: https://softconf.com/ranlp25/Gaze4NLP2025/ Organization Committee: Dr. Cengiz Acarturk, Jagiellonian University, Poland Dr. Jamal Nasir, University of Galway, Ireland Dr. Burcu Can, University of Stirling, Scotland, UK Dr. Cagri Coltekin, University of Tubingen, Germany -- Dr. Cengiz Acarturk, Prof.UJ Centre for Cognitive Science, Jagiellonian University, Krakow On behalf of the Organization Committee

1 1

PhD position in CL/NLP at the University of Tübingen
by cagri coltekin 30 Jun '25

30 Jun '25

The DFG-funded project in the newly established Collaborative Research Center (SFB 1718) “Common ground”, hosted by the University of Tübingen, is inviting applications for a PhD position in Computational Linguistics (75%, TV-L 13 scale, approximately €3.400 per month before taxes and obligatory insurances). The position is associated with project C2 “Signaling and Interpreting Defectivity in Common Ground: Face-to-Face, Voice-Only, and Text-Only Communication” The position begins on 01 October 2025 and ends on 30 June 2029. The aim of this interdisciplinary, cross-linguistic project is to investigate the commonalities or the differences between the cues (verbal, prosodic, gestural, textual) that are employed to signal or interpret irony across different modalities in different communication environments. For the advertised PhD researcher position, this work involves written and multi-modal corpora development and analysis, and working with computational models of irony and analysis. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and corpora data correlation. Requirements: - A master’s degree in Computational Linguistics, Computer Science or related fields. - Solid background in Machine Learning and Natural Language Processing - Experience with corpus collection and annotation - Familiarity with experimental design and statistical analysis methods - Fluency in English Not required, but desirable: - Familiarity with speech processing, or willingness to work with them - Experience with multi-modal machine learning methods - Familiarity with formal linguistics, particularly formal semantics and pragmatics To apply, please send the following application documents to Çağrı Çöltekin <cagri.coeltekin(a)uni-tuebingen.de> via email. - A short (two pages, max.) cover letter with your research interests and your motivation for applying to this position - Your academic CV, including email addresses of two referees - An academic transcript - A sample of academic writing (master’s thesis, or another publication or term paper, if the thesis is not complete at the time of application) The deadline for submitting applications is 24 July 2025 at 23:59 (Berlin time). Interviews will be conducted via Zoom on 30 and/or 31 July 2025. Candidates shortlisted for interview will be notified as soon as possible after the submission deadline. Best, Cagri

1 0

IndiREAD Workshop – 3rd Call for Papers
by Iza Skrjanec 30 Jun '25

30 Jun '25

IndiREAD Workshop 2025: 3rd Call for Papers Saarbrücken, Germany, November 26-27, 2025 IndiREAD is a workshop jointly organized by the ERC Project "Individualized Interaction in Discourse" IDDISC [1] and the MultiplEYE COST [2] action "Enabling multilingual eye-tracking data collection for human and machine language processing research". While experimental research in reading has a long tradition in identifying key factors that influence reading patterns--including text properties such as font difficulty, word and structure frequency, word predictability, and dependency length--recent studies have emphasized the importance of individual variability in reading behaviour (e.g., Haeuser & Kray, 2024; Kuperman et al., 2018; Nicenboim et al., 2016; Staub, 2021). This work has linked individual variability in reading patterns to differences in working memory capacity, reading skills, linguistic experience, and domain expertise among readers. This informs our understanding of how text characteristics and individual reader attributes interact to shape eye movements during reading. IndiREAD aims to bring together researchers interested in investigating individual differences in reading using both experimental and computational approaches. This workshop will focus on methods such as eye-tracking, self-paced reading, and the Maze task, with particular interest in how reading behaviour is correlated with individual differences. We also encourage submissions of computational models for eye movements or reading behavior that shed light on the mechanisms behind these differences. The goal is to foster collaboration between experimental and computational researchers to better understand individual variability among readers. We especially welcome submissions of reading time experiments and modelling of languages beyond English. The IndiREAD Workshop invites submissions of abstracts addressing the following questions:  * How do individual differences impact the way people read? * How do reading patterns vary across different languages, particularly in bilinguals? * How do reading patterns change across the lifespan? * Which individual difference measures are most suitable for capturing variability in reading patterns? * How can we evaluate psycholinguistic theories of reading and sentence processing across languages? * How can computational models account for individual differences in reading? * How does text adaptation influence reading patterns and comprehension among different individuals? * What statistical methods are best suited for reliably identifying latent groups and relating individual differences to reading performance? Workshop dates: November 26-27, 2025 Workshop format: The workshop will be held in-person in Saarbrücken, Germany. It will feature presentations from invited speakers, as well as contributions based on workshop submissions. The format of the presentations (oral or poster) will be determined based on the number of submissions we receive. Submission deadline: July 23, 2025. Submissions: The abstracts must not exceed 1000 words for the text (excl. captions), 10000 characters for references, and a maximum of 2 tables or figures. Abstracts should be submitted in PDF format, with 2.54 cm margins on all sides and 12 point font size, single-spaced. Please indicate up to three appropriate keywords for your abstract, which will be used for session planning. Abstracts must be written in English and should include a clear title but no information revealing the author(s). We welcome submissions for work that is being considered by other conferences, workshops, or journals. Templates for formatting in LaTeX and Word are provided on the conference website. Submission platform: https://openreview.net/group?id=IndiREAD/2025 Volunteer reviewers: We also invite all interested parties with relevant research experience to volunteer to help review abstracts for the workshop. All reviewers should hold a PhD. Please indicate your interest using the following form: https://forms.office.com/e/0fGmHW7q11 Conference website: https://www.uni-saarland.de/indiread [3] Contact email: indiread(a)lst.uni-saarland.de Travel grants: This workshop is sponsored by the MultiplEYE COST Action, which will provide financial support to cover travel expenses for a limited number of participants. Authors will be invited to apply for travel funding upon abstract acceptance. Funding may be partial, and priority will be given to junior researchers. Best, Iza Škrjanec IndiREAD Organizing Committee Links: ------ [1] https://www.uni-saarland.de/lehrstuhl/demberg/individualized-interaction-in… [2] https://multipleye.eu/ [3] https://www.uni-saarland.de/indiread

1 0

Researcher position on generative approaches to event extraction at the University of Oslo
by Erik Velldal 30 Jun '25

30 Jun '25

[Apologies for cross-posting] A postdoc-level position as Research Fellow in Natural Language Processing (NLP) is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The position is for 30 months (2.5 years) and part of a research project focusing on generative approaches to event extraction in the socio-political domain. For more information about the position and the research group, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/283057/researcher-in-natural… The closing date is August 11th, 2025. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

1 0

Submission deadline Extended (4th July 2025) || KlarText Workshop @ KONVENS 2025 || German Text Simplification & Readability Assessment
by Salar Mohtaj 30 Jun '25

30 Jun '25

KlarText Workshop on German Text Simplification & Readability Assessment Co-located with KONVENS 2025 | Hildesheim, Germany | 10 September 2025 Website: https://klar-text.github.io/ ============================================================ The submission deadline for the KlarText workshop has been extended to July 4th. The workshop brings together researchers, practitioners, and industry experts to explore cutting-edge methods in German text simplification and readability assessment. We aim to raise awareness of the diverse simplification goals and language forms in German and to attract researchers tackling the unique challenges in this field. Topics of interest include (but are not limited to): - German Text Simplification - Readability Assessment - Resources & Approaches for Leichte Sprache - The Role of Large Language Models (LLMs) - Resources & Benchmarks - Evaluation & Human-Centered Assessment - Applications & Real-World Impact - Cross-Linguistic & Multilingual Perspectives Important Dates - Submission deadline (extended): July 04, 2025 - Notification of acceptance: August 1, 2025 - Camera-ready version due: August 15, 2025 - Workshop date: September 10, 2025 Submissions are managed via OpenReview (https://openreview.net/group?id=GSCL.org/KONVENS/2025/Workshop/KlarText). Organizing Committee - Salar Mohtaj, DFKI - Stefan Hillmann, Technische Universität Berlin - Sebastian Möller, Technische Universität Berlin - Georg Groh, Technische Universität München - Hadi Asghari, Technische Universität Berlin - Miriam Anschütz, Technische Universität München Contact For questions or inquiries, please contact: Salar Mohtaj – salar.mohtaj(a)dfki.de

1 0

The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025): Last Mile for Paper Submission
by Announce 30 Jun '25

30 Jun '25

*** Last Mile for Paper Submission *** The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025) November 13-14, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/ickg2025/ (*** Proceedings to be published by IEEE ***) (*** Submission Deadline: July 4, 2025 AoE (firm!) ***) The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier international forum for presentation of original research results in knowledge discovery and graph learning, discussion of opportunities and challenges, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of knowledge discovery from data, with a strong focus on graph learning and knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw researchers and application developers from a wide range of areas such as knowledge engineering, representation learning, big data analytics, statistics, machine learning, pattern recognition, data mining, knowledge visualization, high performance computing, and World Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to address challenges in handling all aspects of learning from data with dependency relationship. All accepted papers will be published in the conference proceedings by the IEEE Computer Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student Paper Runner up, will be conferred at the conference, with a check and a certificate for each award. The conference also features a survey track to accept survey papers reviewing recent studies in all aspects of knowledge discovery and graph learning. At least five high quality papers will be invited for a special issue of the Knowledge and Information Systems Journal, in an expanded and revised form. In addition, at least eight quality papers will be invited for a special issue of Data Intelligence Journal in an expanded and revised form with at least 30% difference. TOPICS OF INTEREST Topics of interest include, but are not limited to: • Foundations, algorithms, models, and theory of knowledge discovery and graph learning • Knowledge engineering with big data • Machine learning, data mining, and statistical methods for data science and engineering • Acquisition, representation and evolution of fragmented knowledge • Fragmented knowledge modeling and online learning • Knowledge graphs and knowledge maps • Graph learning security, privacy, fairness, and trust • Interpretation, rule, and relationship discovery in graph learning • Geospatial and temporal knowledge discovery and graph learning • Ontologies and reasoning • Topology and fusion on fragmented knowledge • Visualization, personalization, and recommendation of Knowledge Graph navigation and interaction • Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy • Applications and services of knowledge discovery and graph learning in all domains including web, medicine, education, healthcare, and business • Big knowledge systems and applications • Crowdsourcing, deep learning and edge computing for graph mining • Large language models and applications • Open source platforms and systems supporting knowledge and graph learning • Datasets and benchmarks for graphs • Neurosymbolic & Hybrid AI systems • Graph Retrieval Augmented Generation SURVEY TRACK Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning. In addition to the above topics, authors can also select and target the following Special Track topics. Each special track is handled by respective special track chairs, and the papers are also included in the conference proceedings. • Special Track 01: KGC and Knowledge Graph Building • Special Track 02: KR and KG Reasoning • Special Track 03: KG and Large Language Modela • Special Track 04: GNN and Graph Learning • Special Track 05: QA and Graph Database • Special Track 06: KG and Multi-modal Learning • Special Track 07: KG and Knowledge Fusion • Special Track 08: Industry and Applications SUBMISSION GUIDELINES Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 8 pages will be rejected without review. All submissions will be reviewed by the Program Committee based on technical quality, originality, significance, and clarity. For survey track paper, please preface the descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be removed from the camera-ready copy. For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should be changed as “SS01: Incremental Knowledge Graph Learning”. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is single blind, meaning that each submission should list all authors and affiliations. There is no separate abstract submission step. There are no separate industrial, application, or poster tracks. Manuscripts must be submitted electronically in the online submission system. No email submission is accepted. To help ensure correct formatting, please use the style files for U.S. Letter as template for your submission. These include LaTeX and Word. SUBMISSION LINK https://wi-lab.com/cyberchair/2025/ickg25/ IMPORTANT DATES • Paper submission (abstract and full paper): July 4, 2025 (AoE) (firm!) • Notification of acceptance/rejection: September 5, 2025 • Camera-ready, copyright forms and author registration: September 20, 2025 • Early (non-author) registration: October 10, 2025 • Conference dates: November 13-14, 2025 ORGANISATION Conference and Local Organising Chair • George A. Papadopoulos, University of Cyprus Conference Co-Chair • Dan Guo, Hefei University of Technology Program Chairs • Cesare Alippi, Università della Svizzera italiana • Shirui Pan, Griffith University Local Organising Vice Chair • Irene Kinlanioti, National Technical University of Athens Finance Chair • Constantinos Pattichis, University of Cyprus Steering Committee Chair • Xindong Wu, Hefei University Of Technology

1 0

Reminder: CfP Historical Languages and AI (Berlin, Germany)
by Daidalos-Projekt (Konstantin Schulz) 30 Jun '25

30 Jun '25

Call for Papers: Historical Languages and AI See the online version at https://daidalos-projekt.de/conference/cfp/ . March 5-6, 2026 The intersection of historical languages and artificial intelligence (AI) presents a rich and dynamic field of study, with the potential to revolutionize our understanding of the past and the ways in which we engage with historical texts. As digital technologies continue to advance, the need for interdisciplinary collaboration becomes increasingly apparent. The upcoming 2-day international conference on “Historical Languages and AI” aims to foster this collaboration by bringing together experts from computational literary studies, digital history, linguistics, and other domains that work with historical languages such as Latin. The conference seeks to address the growing demand for innovative methods and tools that can enhance the analysis, preservation, and interpretation of historical languages. By leveraging AI technologies, researchers can unlock new insights into historical texts, improve the accuracy of translations, and develop more effective teaching methods for historical languages. The conference will provide a platform for scholars to share their latest findings, discuss emerging trends, and explore the practical applications of AI in historical language research. It explicitly includes historical stages of modern languages, such as Old English or Early New High German. The conference is hosted by the Daidalos research project (Humboldt University Berlin, 2023-2026; https://daidalos-projekt.de ). The project is building a research infrastructure for methods of natural language processing (NLP). The target group is literary scholars in classical philology and related disciplines. The research infrastructure consists, on the one hand, of an interactive website on which interested parties can apply NLP methods to text corpora. On the other hand, the Daidalos project sees itself as a contact point for interested researchers. In this function, the project regularly invites researchers to workshops (https://daidalos-projekt.de/workshops), advises them within the framework of research tandems (https://daidalos-projekt.de/tandems), and provides materials for further training (https://daidalos-projekt.de/jupyterlite). Conference Dates: March 5-6, 2026 Venue: Humboldt-Universitaet zu Berlin (Berlin, Germany) Unfortunately, we cannot offer travel bursaries. Attending the conference itself is free of charge. Topics of Interest We welcome submissions on a wide range of topics related to historical languages and AI, including but not limited to: Machine Learning Large Language Models / Large Action Models Usage for data modeling or corpus construction Challenges in low-resource scenarios Neural machine translation for historical texts Innovative approaches to historical language analysis Linguistic analysis for literary studies Part-of-speech tagging Topic modeling Sentiment analysis Named entity recognition Word embeddings Multilingual Information Retrieval, incl. cross-lingual embeddings Evaluation of AI-driven methods and datasets Frameworks for mapping research questions to relevant AI models and methods Assessment of AI tools in historical language studies Technical Infrastructure for Research & Teaching Integrating technologies like Jupyter Notebooks into larger software platforms Retrieval-augmented generation for domain-specific chatbots Teaching & Learning Digital Literacies, incl. open educational resources for teaching natural language processing Important Dates Submission Deadline: September 1, 2025 Notification of Acceptance: October 15, 2025 Camera-Ready Submission: January 31, 2026 Conference Dates: March 5-6, 2026 Submission types Included in the open-access proceedings: *Long papers*: up to 4000 words (ca. 8 pages, excl. bibliography and appendix). Long papers report on original and unpublished results. Long papers are presented as oral presentations (30 min talk + 15 min discussion). We welcome the use of appendices or other supplementary information. Published only in the book of abstracts in our Zenodo Community: *Short papers*: up to 2000 words (ca. 4 pages, excl. bibliography and appendix). Short papers report on focused contributions, and may present work in progress. Short papers are presented as short oral presentations (20 min talk + 10 min discussion). We welcome the use of appendices or other supplementary information. *Pitch Your Research Idea*: Submit an abstract of up to 200 words (excl. bibliography and appendix) to give a 5-minute presentation during a pitch session. The presentations are followed by a Scientific Speed Dating Session and enable researchers to get in touch faster.Long papers Workshops (90 min): Submit a proposal for your intended workshop of up to 750 words. Workshops should be organized as hands-on research or learning opportunity. The workshops will take place on the second day of the conference (March 6, 2026). Workshop proposals should describe: the aims and setup of the workshop, the academic background for the work, an outline of the workshop, including the types of activities, the expected key outcomes, a short bio of each organizer or presenter, including their name, affiliation, email address, a plan for promoting the workshop to attract participants, specific requirements, including but not limited to special equipment (e.g., audio/video), software, physical space arrangements, any technical knowledge, skills, or experience participants should have before attending the workshop. Submission Guidelines and Participation All submissions must be in English or German. Papers should be formatted according to the conference template: Template of the Association for Computational Linguistics (https://github.com/acl-org/acl-style-files). It supports both Microsoft Word and LaTeX. Submissions will be peer-reviewed by the organizers. Papers should be submitted as PDF documents via E-Mail: daidalos-projekt(a)hu-berlin.de At least one author of each accepted submission must register to the conference and present the paper. Proceedings of the conference will be published as a Propylaeum eBook in the Digital Classics Books series (for long papers; https://books.ub.uni-heidelberg.de/propylaeum/catalog/series/dcb) and on Zenodo (for all other submissions; https://zenodo.org/communities/daidalos). Contact Information For any inquiries, please contact the conference organizers at daidalos-projekt(a)hu-berlin.de . We look forward to receiving your submissions and welcoming you to the International Conference on Historical Languages and AI! The Conference *Organizing Committee* of the Daidalos project: Andrea Beyer, Konstantin Schulz, Anke Lüdeling, Florian Kotschka, Florian Deichsler, Malte Dreyer

1 0

CFP: AIAS - Symposium for AI Accelerated Science
by Sol Rosenberg 30 Jun '25

30 Jun '25

Apologies for Cross Posting The Chen Institute Symposium for AI Accelerated Science is an annual event dedicated to exploring groundbreaking advancements in AI that are reshaping scientific discovery across disciplines. Each year, leading researchers, industry innovators, and influential thought leaders gather to discuss how cutting-edge AI methodologies—such as foundational models, long-term memory mechanisms, synthetic data generation, and research process automation—are revolutionizing the scientific landscape. We invite submissions that explore how core advancements in artificial intelligence are accelerating progress in science. This call focuses on transformative AI innovations that enable new modes of inquiry, hypothesis generation, and experimentation across scientific disciplines. We especially welcome work in the following areas: Foundational Models: Research on large-scale, pre-trained models that serve as general-purpose engines for scientific reasoning, prediction, and simulation Long-Term Memory Mechanisms: Innovations in memory architectures that enable persistent knowledge representation, context retention, and lifelong learning in AI systems Synthetic Data Generation: Novel techniques for creating high-fidelity synthetic datasets that augment or replace empirical data in research pipelines Research Process Automation: AI tools and frameworks that automate experimental design, data analysis, literature synthesis, or other components of the scientific workflow We encourage submissions from researchers working at the intersection of AI and the physical or life sciences, including but not limited to biology, chemistry, physics, medicine, and engineering. Selected papers will be presented at the conference, where authors will join a dynamic community shaping the future of AI-accelerated science. See more at https://aias2025.org/ CFP details and submissions: https://aias2025.org/call-for-papers/ Organizing Committee: - Jennifer Chayes, Deanof the College of Computing, Data Science, and Society at UC Berkeley - Yan Li, Executive Director of Scientific Programs, Chen InstitutePietro Perona - Allan E. Puckett Professor of Electrical Engineering and Computation and Neural Systems, Caltech - Mengdi Wang, Associate Professor of Electrical and Computer Engineering and the Center for Statistics and Machine Learning, Princeton - Parisa Kordjamshidi, Associate Professor of Computer Science and Engineering, Michigan State University - Hamid Karimian, Research Assistant Professor of Computer Science and Engineering, Michigan State University See more at https://aias2025.org/ CFP details and submissions: https://aias2025.org/call-for-papers/ ᐧ

1 0

2025

2024

2023

2022

Corpora June 2025