- Corpora - ELRA lists

Four PhD and four Postdoc positions in Copenhagen, Denmark
by Johannes Bjerva 09 Feb '26

09 Feb '26

The 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐠𝐫𝐨𝐮𝐩 𝐚𝐭 Aalborg University Copenhagen (AAU-NLP) is growing fast in 2026, and we’re excited to announce that we are hiring 𝐟𝐨𝐮𝐫 𝐏𝐡𝐃 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 (3 years), and 𝐟𝐨𝐮𝐫 𝐩𝐨𝐬𝐭𝐝𝐨𝐜𝐬 (1–3 years each), to join us at the beautiful waterfront Copenhagen Campus of Aalborg University. This new cohort will join our expanding research efforts on 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐒𝐚𝐟𝐞𝐭𝐲 𝐚𝐧𝐝 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 𝐢𝐧 𝐀𝐈, with a strong emphasis on 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐋𝐋𝐌𝐬 across diverse cultural and linguistic settings. We’re interested in candidates with solid backgrounds in 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 as well as those coming from 𝐜𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐥𝐢𝐧𝐠𝐮𝐢𝐬𝐭𝐢𝐜𝐬 who want to work at the intersection of language and AI. Some example areas of interest include: • NLP/LLM security, adversarial robustness, and backdoor detection • Memorization and Privacy in LLMs • Safety, factuality, and trustworthy multilingual language technologies • Linguistically informed modelling and cross-cultural evaluation • Interpretability, semantics, and behaviour analysis of LLMs • Low-resource language processing and multilingual robustness Within these areas, the projects offer 𝐬𝐮𝐛𝐬𝐭𝐚𝐧𝐭𝐢𝐚𝐥 𝐟𝐫𝐞𝐞𝐝𝐨𝐦 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐢𝐝𝐞𝐚𝐬 - we believe the best research is driven by curiosity and creativity. Apply here: * PhDs (deadline 17 February): https://www.vacancies.aau.dk/phd-positions/show-vacancy/vacancyId/884796 * Postdocs (deadline 4 March): https://www.vacancies.aau.dk/scientific-positions/show-vacancy/vacancyId/88… Interested applicants are encouraged to reach out to the project PI, Johannes Bjerva, at jbjerva(a)cs.aau.dk

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Last CFP: *SEM 2026: The 15th Joint Conference on Lexical and Computational Semantics [3 July 2026, Co-located with ACL 2026]
by Nedjma Ousidhoum 09 Feb '26

09 Feb '26

Dear corpora-list members, Apologies for cross-posting. The 15th Joint Conference on Lexical and Computational Semantics (*SEM2026), will be co-located with ACL 2026 on the 3rd of July. The call for papers can be found here<https://starsem2026.github.io/calls/> and below. Important Dates (All deadlines are 11:59pm UTC-12h, AoE) - Direct submission deadline (long & short papers): Feb 13, 2026 - Notification of acceptance: May 5, 2026 - Camera-ready deadline: May 26, 2026 - Conference date: July 6, 2026 (co-located with ACL 2026) - Following the ACL and ARR policies<https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy>, there is no anonymity period requirement. Website https://starsem2026.github.io/ Direct submission link https://openreview.net/group?id=STARSEM/2026/Conference Call for Papers *SEM brings together researchers interested in the semantics of natural languages and its computational modelling. The conference embraces a wide range of approaches including data-driven, neural, probabilistic and symbolic; practical applications as well as theoretical contributions are welcome. The long-term goal of *SEM is to provide a forum for NLP researchers working on any aspect of natural language semantics. *SEM invites submissions related to the computational modelling of natural language semantics (understood broadly) and its application. Relevant areas include (but are not limited to) theoretical aspects of computational semantics, empirical and data-driven approaches, resources, evaluation, and applications/tools. *SEM encourages authors to consider ethical aspects of their work, and to address and discuss ethical questions and implications relevant to their research. *SEM also values reproducibility and particularly welcomes submissions that adhere to the reproducibility guidelines as specified here. Please fill out this form<https://forms.gle/634oW3yvtTkur6qL9> if you would like to volunteer as a reviewer or as an Area Chair. Questions may be directed to: startsem-2026-pcs(a)googlegroups.com<mailto:startsem-2026-pcs@googlegroups.com> New for *SEM 2026 1. One Day Conference: Unlike past iterations, *Sem 2026 will be a one-day conference. (ACL has informed us that this is due to venue size limitations.) 2. Centering Research Questions: Research questions in *Sem, and NLP generally, can be roughly categorized into those that address: * new findings about language (linguistic phenomena, semantic patterns), * new findings about people (language use, behavior, health, ethics, etc.), * new findings about automatic language processing (advancing language understanding through ML/AI and other approaches). Centering and explicitly articulating the research question helps authors frame and present their contribution more clearly. It also helps reviewers and Area Chairs evaluate the work within the appropriate context. For example, a paper that centers a compelling linguistic or behavioral research question and offers meaningful new insights need not also introduce methodological novelty or rely on the latest models (including LLMs). A simple and interpretable approach may make good sense. To support this, the *SEM 2026 submission form asks authors to explicitly identify the predominant research question type for their work, as well as any additional categories that apply. There are no quotas for accepted papers of different types, and submissions will not receive preferential treatment based on category selection. Including this information also allows *SEM to track the kinds of research questions authors pursue and how the conference’s focus evolves over time. 3. Lasting Impact Modern NLP and ML papers have often been criticized for being overly incremental or becoming obsolete shortly after publication. To encourage work with broader scientific value and longer-term relevance, reviewers of *Sem 2026 will be asked to explicitly assess the potential lasting impact of each submission. This assessment will be included as a short-written justification and will factor into the overall recommendation. Importantly, a healthy research ecosystem requires diversity in the time horizons of research contributions. Some papers offer immediate practical value; others generate insights or resources whose importance unfolds over years. *Sem 2026 welcomes this full spectrum. Reviewers should evaluate the potential for lasting influence—not only immediate performance gains. Work can have a lasting impact in many ways. See our blog post<https://starsem2026.github.io/blog/> on this. Topics of Interest (non-exhaustive) * Compositional semantics and sentence representations * Statistical, machine learning, and deep learning methods in semantic tasks * Multilingual and cross-lingual semantics * Word sense disambiguation and induction * Sentiment Analysis, Computational Affective Science, Stylistic Analysis, and Argument Mining * Computational Social Science, Digital Humanities, and Cultural Analytics * Semantic parsing, and syntax-semantics interface * Frame semantics and semantic role labeling * Textual inference, textual entailment, and question answering * Formal approaches to semantics * Extraction of events and of causal and temporal relations * Entity linking, pronouns and coreference * Discourse, pragmatics, and dialogue * Machine reading * Abusive language detection, Fact verification and related tasks * Extra-propositional aspects of meaning * Multiword and idiomatic expressions * Metaphor, irony, and humor processing * Knowledge mining and acquisition * Common sense reasoning * Language generation * Multidisciplinary research on semantics * Grounding and multimodal semantics * Psycholinguistics * Interpretability and Explainability * Human semantic processing * Semantic annotation, evaluation, and resources * NLP Applications * Ethical aspects and bias in semantic representations Submission Instructions Submissions must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus unlimited pages for references. Appendices are allowed after the references, but the paper should be self-contained, and reviewers will not be required to check the appendices, if any. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Short papers describe original focused research and may consist of up to four (4) pages, plus unlimited pages for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers' comments in their final versions. Limitations and Ethics Statement sections are allowed and encouraged but are not mandatory. These sections should be placed after the conclusion and will not count towards the overall page limit. Submissions should follow the ARR formatting requirements<https://github.com/acl-org/acl-style-files>. Submission routes and deadlines *SEM solicits direct submissions (not through ARR). The deadline for direct submissions is Feb 13, 2026, and these submissions will be reviewed by the *SEM2025 program committee. Submissions are made through OpenReview. Multiple submission policy *SEM does not prohibit the submission of work that is under consideration for another venue at the same time as the *SEM review period. However, authors of such papers will be asked to declare this at submission time. Best regards, The *SEM 2026 Program Chairs.

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Second call for participation: UMR parsing shared task
by Dan Zeman 08 Feb '26

08 Feb '26

Second Call for Participation: Shared Task in Parsing into Uniform Meaning Representation (UMR) https://ufal.mff.cuni.cz/umr-parsing Uniform Meaning Representation <https://umr4nlp.github.io/web/> (UMR) is designed as a typologically-aware successor of AMR, with various modifications and additions, including explicit token-node alignment and document-level relations. Parsers previously proposed for AMR are thus not directly applicable to UMR, although they may serve as a baseline for development of UMR parsers. The few attempts at UMR parsing published so far focused mostly on English. The first shared task in UMR parsing aims to perform evaluation of parsing systems on multiple languages and to assess the current state of the art. The shared task is collocated with the DMR 2006 workshop <https://dmr2026.github.io/> (and with LREC), to be held on 11 May 2026 in Palma de Mallorca, Spain. The shared task is now in its development phase, with training data available for six languages (Arapaho, Chinese, Czech, English, Latin, Navajo). The test phase is schedule to run between 16 and 27 February 2026. Registration is open until the end of the test phase. For more details, see the shared task homepage at https://ufal.mff.cuni.cz/umr-parsing. Dan Zeman, Jan Štěpánek & the UMR community

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International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026): Second Call for Research Papers (2nd Round)
by Announce 08 Feb '26

08 Feb '26

*** Second Call for Research Papers (2nd Round) *** International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) 29 September - 2 October 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://conf.researchr.org/home/variability-2026 The International Conference on Software and Systems Reuse, Product Lines, and Configuration (VARIABILITY 2026) invites high-quality contributions from researchers and practitioners in software engineering, systems engineering, and related disciplines focussing on a broad spectrum of methods, concepts, and tools for variability. VARIABILITY aims to be the premier forum for the exchange of ideas, experiences, and results in all aspects of software and systems variability management, reuse, software configuration, and customization. As software and systems become increasingly configurable, reusable, and adaptable, managing their variability across all lifecycle phases is more critical—and more challenging —than ever. VARIABILITY 2026 seeks to bring together the diverse communities that address these challenges from theoretical, technical, and practical perspectives. VARIABILITY results from a merge of three prominent conferences focussing on software and systems variability, configuration and reuse: SPLC (the International Systems and Software Product Line Conference, 29 successful editions), VaMoS (the International Working Conference on Variability Modelling of Software-Intensive Systems, 19 successful editions), and ICSR (the International Conference on Systems and Software Reuse, 22 successful editions). VARIABILITY is by design open as a conference. It welcomes new fields of variability- intensive research, such as artificial intelligence, hybrid software-hardware systems, etc. For this first edition of VARIABILITY, we strive to continue the success of the predecessor conferences ICSR, SPLC, and VaMoS by welcoming high-quality submissions for the research track in numerous closely related areas, such as systems and software product lines, systems and software reuse, configurable systems and software, product configuration, and systems and software variability. We will award the best research paper and the best artifact paper. Topics of Interest We invite contributions on variability management, reuse, and configuration across all phases of the software and systems lifecycle. The topics of interest include, but are not limited to: Requirements & Domain Engineering • Domain analysis and variability modeling • Decision modeling and support • Customization and personalization specification • Requirements variability and traceability Architecture & Design • Variability-aware software architectures • Architecture-centric product line engineering • Model-driven engineering (MDE) • Multi-product lines, program families, product lines of product lines, software ecosystems Implementation & Code Generation • Generative programming and code synthesis • Modularization techniques for reusable code • Programming languages and frameworks for variability • Open-source strategies for software reuse Testing, Verification & Quality Assurance • Testing and analysis of configurable systems • Safety and security in variable systems • Formal Methods for Software Product Lines • Non-functional properties: quality-aware analysis, quality-driven configuration • Reuse in testing, verification, and quality assurance Evolution, Maintenance & Operation • Refactoring and restructuring of configurable systems • Reverse engineering, variability mining, and refactoring • Runtime variability and dynamic (software) product lines • Maintenance strategies for large-scale reused systems • Variability in DevOps and CI/CD pipelines AI and Data-Driven Methods • Machine learning for variability management • AI-assisted product configuration • Data and repository mining from product lines and configuration histories • Recommendation systems for reuse and customization Publication of Proceedings Accepted papers will be published in the VARIABILITY 2026 proceedings by Springer in the LNCS series. Submission Guidelines Paper Types We invite the following types of submissions: • Full Papers (up to 18 pages excluding references): Research papers must present original, unpublished work with validated results through empirical evaluation, formal analysis, or implementation-based experiments. Submissions must clearly articulate the problem, its relevance, the proposed contribution, and validation results. • Short Papers (6 - 8 pages excluding references): Short papers present early-stage research, novel ideas, or conceptual proposals that are not yet fully developed or validated but offer promising directions. These papers should articulate the vision, motivation, and potential impact. Formatting Papers must use the Springer LNCS template according to: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Springer provides author guidelines that should be consulted for further details: https://resource-preview-cms.springernature.com/springer-cms/rest/v1/conten… Submission Link Submissions should be made via Easy Chair, selecting the research track: https://easychair.org/conferences?conf=variability2026 Paper Originality, Double-Anonymous Policy, Reviewing All papers must be original and not under review elsewhere. Submissions will be double- anonymous and reviewed by at least three experts. Submissions will be evaluated based on their novelty, relevance, rigor, transparency, and presentation. Authors of submissions to the first deadline might be invited to submit a revision of their papers to the second deadline, which will be reviewed as a revision. Revisions Research-track papers can be submitted to the first or second cycle. In the first cycle, papers can receive the following decisions: accept, revision, or reject. Revision means that the reviewers believe that the paper has potential, but that its quality or contribution is not yet ready for publication. Such papers are offered lightweight shepherding by a community member, who is not necessarily a PC member or reviewer. Revised papers should be submitted to the second cycle together with a response letter, explaining how the reviewer comments were addressed. They are then reviewed by the same PC members. Papers rejected in the first cycle can be resubmitted in the second cycle, but need to contain an appendix “Changes to First-Cycle Submission” at the end of the PDF (after references, regardless of the page limit) that lists the major changes in bullet-point format. Best Paper Awards Springer will sponsor the awards for bet papers with an overall amount of €1000. Journal Special Issue Selected accepted papers will be invited to submit extended versions with at least 30% additional and original material, to be published in a special issue in a reputable Software Engineering journal (currently under negotiation). Important Dates (AoE) • Paper Submission Deadline (2nd Round): 2 April 2026 • Notification of Acceptance (2nd Round): 1 June 2026 • Camera-Ready Deadline: 15 July 2025 • Author Registration: 15 July 2025 Organisation General Chairs • George A. Papadopoulos, University of Cyprus, Cyprus • Gilles Perrouin, FNRS & University of Namur, Belgium Research Track Chairs • Thorsten Berger, Ruhr University Bochum, Germany • Ina Schaefer, KIT, Germany Industry Track Chairs • Shaukat Ali, Simula Research Lab and Oslo Metropolitan University, Norway • Martin Becker, Fraunhofer IESE, Germany Journal First Track Chairs • Mathieu Acher, University Rennes, Inria, CNRS, IRISA, France • Xhevahire Tërnava, LTCI, Télécom Paris, Institut Polytechnique de Paris, France Doctoral Symposium Track Chairs • Rick Rabiser, LIT CPS, Johannes Kepler University Linz, Austria • Iris Reinhartz-Berger, University of Haifa, Israel Demos and Tools Track Chairs • Sandra Greiner, University of Southern Denmark, Denmark • Leopoldo Teixeira, Federal University of Pernambuco Projects Showcase Chairs • Daniel Struber, Chalmers, University of Gothenburg, Radbound University, Sweden • Dalila Tamzalit, Nantes Université, France Hall of Fame Chairs • Martin Becker, Fraunhofer IESE, Germany • Goetz Botterweck, Lero - The Irish Software Research Centre and University of Limerick, Ireland • Natsuko Noda, Shibaura Institute of Technology, Japan Workshops Chairs • Lidia Fuentes, Universidad de Malaga, Spain • Malte Lochau, University of Siegen, Germany Tutorials Chairs • Loek Cleophas, Eindhoven University of Technology and Stellenbosch University, The Netherlands • Mahsa Varshosaz, IT University of Copenhagen, Denmark Proceedings Chair • Sophie Fortz, King's College London, UK Publicity Chairs • Wesley Assunção, North Carolina State University, USA • Kentaro Yoshimura, Hitachi Ltd, Japan Local Organiser and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus

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Computation and Written Language Workshop (at LREC 2026) Final Call for Papers
by Constantine Lignos 07 Feb '26

07 Feb '26

Computation and Written Language Workshop (at LREC 2026) Final Call for Papers The Third Workshop on Computation and Written Language (CAWL 2026) will be held in conjunction with LREC 2026 as a half-day workshop on May 12th in Palma, on the island of Mallorca, Spain. The workshop will feature an invited talk, a tutorial on working with different writing systems, and posters and presentations for submitted work. Annual CAWL workshops are organized under the guidance of the ACL Special Interest Group on Writing Systems and Written Language (SIGWrit). We welcome submissions of scientific papers to be presented at the workshop and archived in the ACL Anthology. Please see the submission guidelines below and see the workshop webpage (https://sigwrit.org/) for additional relevant information. For the first time ever, CAWL will also feature a cash prize of $500 USD for the best student submission. Topics Most work in NLP focuses on language in its canonical written form. This has often led researchers to ignore the differences between written and spoken language or, worse, to conflate the two. Furthermore, methods for dealing with written language issues (e.g., various kinds of normalization or conversion) or for recognizing text input (e.g. OCR & handwriting recognition or text entry methods) are often regarded as precursors to NLP rather than as fundamental parts of the enterprise, despite the fact that most NLP methods rely centrally on representations derived from text rather than (spoken) language. This general lack of consideration of writing has led to much of the research on such topics to largely appear outside of ACL venues, in conferences or journals of neighboring fields such as speech technology (e.g., text normalization) or human-computer interaction (e.g., text entry). This workshop will bring together researchers who are interested in the relationship between written and spoken language, the properties of written language, the ways in which writing systems encode language, and applications specifically focused on characteristics of writing systems. Topics of interest include but are not limited to: - Writing systems for less-resourced, Indigenous, and minoritized languages - Multi-writing system models - Text entry and tokenization - Processing abbreviations and homographs - Grapheme-to-phoneme conversion, transliteration, and diacritization - Text normalization for speech and for processing “informal'” genres of text - Information-theoretic and machine-learning approaches to decipherment - Optical character (incl. handwriting) recognition and historical document processing - Orthography for unwritten languages - Spelling error detection and correction - Script normalization and encoding - Writing system typology and its relevance to speech and language processing - Properties of written language - Applications specifically focused on characteristics of writing systems Important dates (all deadlines anywhere-on-earth (AoE) time): Paper submission deadline: February 20, 2026 Notification of acceptance: March 17, 2026 Camera-ready paper due: March 30, 2026 Workshop date: May 12, 2026 Submission Guidelines Please submit short (4 page) or long (8 page) submissions in PDF format. Both short and long paper submissions will be reviewed in the same process. Authors should follow the formatting guidelines of LREC 2026, available in the authors’ kit (https://lrec2026.info/authors-kit/). Note that, as with the main conference, reviewing is double-anonymous, i.e., reviewers will not know author identity and vice versa, hence no author information should be included in the papers; self-reference that identifies the authors should be avoided or anonymised. Accepted papers will appear in the workshop proceedings in the ACL anthology. Submissions will be accepted at https://softconf.com/lrec2026/CAWL/ between now and February 20, 2026. For questions about the submission guidelines, please contact workshop organizers at cawl-2026-organizers(a)googlegroups.com.

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Call for paper - LLMs for Equitable Education Systems
by Marco Bombieri 06 Feb '26

06 Feb '26

Dear colleagues, We are pleased to announce a Call for Papers for the Research Topic *“*LLMs for Equitable Education Systems*”*, to be published in Frontiers in Artificial Intelligence. This special issue focuses on the role of LLMs and agentic AI in fostering equitable and responsible educational systems. We welcome original research articles, reviews, and perspectives addressing topics such as AI-driven personalized learning, fair and transparent assessment, bias mitigation, accessibility, and ethical implications of LLMs in education. Key deadlines: - Manuscript Summary: 30 June 2026 - Full Manuscript: 30 September 2026 Call for paper and submission guidelines are available at: https://www.frontiersin.org/research-topics/77438/llms-for-equitable-educat… With best regards, The Research Topic editorial team

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2nd CfP: Challenges in the Management of Large Corpora @LREC-2026
by Piotr Banski 06 Feb '26

06 Feb '26

12^th Workshop on the Challenges in the Management of Large Corpora 2^nd Call for Papers The next meeting of CMLC will be held as part of theLREC-2026 conference <https://lrec2026.info/> in Palma, Mallorca. Workshop description As in the previous CMLC meetings, we wish to explore common areas of interest across a range of issues in language resource management, corpus linguistics, natural language processing, natural language generation, and data science. Large textual datasets require careful design, collection, cleaning, encoding, annotation, storage, retrieval, and curation to be of use for a wide range of research questions and to users across a number of disciplines. A growing number of national and other very large corpora are being made available, many historical archives are being digitised, numerous publishing houses are opening their textual assets for text mining, and many billions of words can be quickly sourced from the web and online social media. A mixed blessing of the times is that much of those texts, in mono- and multi-lingual arrangements can now be created automatically by exploiting Large Language Models at various scales. That, on the one hand, makes it possible to inflate the amounts of data where normally data would be scarce: in under-resourced languages or language varieties, in specific genres or for intricate and rarely attested constructions. On the other hand, such procedures immediately raise concerns regarding the authenticity and quality of such data, casting doubt on the possibility of adequately (truthfully, verifiably, reproducibly) addressing the kind of research questions that provoked the rapid but tainted increase of the available data volumes in the first place. Similar doubts may be directed at mass creation of secondary and tertiary data ordinarily crucial for linguistic research: apart from potential legal constraints on the use of the initial amounts of human-created data, new questions arise as to the legal status of the derived data, the ways to create e.g. provenance metadata of the derived resources, and the level of trust regarding mass-produced grammatical (and other) annotation layers. These new as well as more traditional questions lie at the base of the list of topics that management of large corpora (for any currently suitable definition of “large”) invokes or at least strongly brushes against. Topics of interest This year's event adds new items to the standard range of CMLC themes and addresses some of LREC-2026 focus topics: * Interoperability and accessibility o How to make corpora as accessible as possible o Interoperable APIs for query and analysis software o Provision of multiple levels of access for different tasks * Machine/Deep Learning o Data preparation for machine learning input o Creation, curation, maintenance and dissemination of language models based on machine learning (e.g. word embeddings and entire deep learning networks) o Legal issues concerning language model distribution * Linguistic content challenges o Dealing with the variety of language: multilinguality, minority and/or underrepresented languages, historical texts, noisy OCR texts, user-generated content, etc. o Diversity and inclusion in language resources o Integration of human computation (crowdsourcing) and automatic annotation o Quality management of annotations o Ensuring linguistic integrity of data through deduplication, correction of typos and errors, removal of incomplete or malformed sentences, and filtering harmful, offensive and toxic content, etc. o Integrating different linguistic data types (text, audio, video, facsimiles, experimental data, neuroimaging data, …) * Technical challenges o Storage and retrieval solutions for large text corpora: primary data (potentially including facsimiles, etc.), metadata, and annotation data o Corpus versioning and release management o Scalable and efficient NLP tooling for annotating and analysing large datasets: distributed and GPGPU computing; using big data analysis frameworks for language processing o Dealing with streaming data (e.g. Social Media) and rapidly changing corpora o Environmental impact of big language data computing o Engineering and management of research software * Exploitation challenges o Legal and privacy issues o Query languages, data models, and standardisation o Licensing models of open and closed data, coping with intellectual property restrictions o Innovative approaches for aggregation and visualisation of text analytics o Repurposing or extending application areas of existing corpora and tools In the tradition of CMLC, we invite reports on national corpus initiatives; submitters of these reports should be prepared to present a poster. Important dates * Deadline for paper submission: the 16^th of February 2026 (Monday, 23:59 UTC) * Notification of acceptance: the 12^th of March 2026 (Thursday) * Deadline for the submission of camera-ready papers: the 30^th of March 2026 (Monday) * Meeting: the 11^th of May, morning slot Paper submission * We invite anonymised extended abstracts for oral presentations on the topics listed above, as PDF created according toLREC-2026 templates <https://lrec2026.info/authors-kit/>. o Length and content: 4 to 8 pages in length, excluding acknowledgements, references, potential Ethics Statements and discussion on Limitations. Appendices or supplementary material are not permitted during the initial submission phase, as papers should be self-contained and reviewable on their own. However, appendices and supplementary material will be allowed in the final, camera-ready version of the paper. * CMLC has always reserved a track for national corpus project reports, and to this end, we invite/poster proposals/of 500-750 words. National project reports need not be anonymised. * Submissions are accepted solely through theLREC START system <https://softconf.com/lrec2026/CMLC2026/>. * A volume of proceedings will be published online by ELRA. Oral and poster contributions will have equal status. LRE 2026 Map and the "Share your LRs!" initiative When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Programme Committee * Laurence Anthony (Waseda University, Japan) * Vladimír Benko (Slovak Academy of Sciences) * Mark Davies (English-Corpora.org) * Nils Diewald (IDS Mannheim) * Kaja Dobrovoljc (University of Ljubljana / Jožef Stefan Institute) * Jarle Ebeling (University of Oslo) * Tomaž Erjavec (Jožef Stefan Institute, Ljubljana) * Andrew Hardie (Lancaster University, UK) * Serge Heiden (ENS de Lyon) * Ulrich Heid (University of Hildesheim) * Nancy Ide (Vassar College / Brandeis University) * Olha Kanishcheva (Heidelberg University) * Gražina Korvel (Vilnius University) * Natalia Kocyba (Samsung Poland) * Michal Křen (Charles University, Prague) * Anna Latusek (ICS PAS, Warsaw) * Paul Rayson (Lancaster University) * Laurent Romary (INRIA) * Thomas Schmidt (University of Duisburg-Essen) * Serge Sharoff (University of Leeds) * Maria Shvedova (Kharkiv Polytechnic Institute / University of Jena) * Irena Spasić (Cardiff University) * Martin Wynne (University of Oxford) Organising Committee * 📩 Piotr Bański (IDS Mannheim) * 📩 Dawn Knight (Cardiff University) * 📩 Marc Kupietz (IDS Mannheim) * 📩 Andreas Witt (IDS Mannheim) * 📩 Alina Wróblewska (ICS PAS, Warsaw) Homepage CMLC series homepage is located athttp://corpora.ids-mannheim.de/cmlc.html .

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2nd CFP: 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
by Ekaterina Kochmar 06 Feb '26

06 Feb '26

Second Call for Papers The 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026) San Diego, California, United States and online Thursday, July 2 and Friday, July 3, 2026 (co-located with ACL 2026) https://sig-edu.org/bea/current Submission: https://softconf.com/acl2026/bea2026/ Submission Deadline: Monday, March 23, 2026, 11:59pm UTC-12 WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications<https://sig-edu.org/members> (SIGEDU) in 2017, which currently has over 400 members. The 21st BEA will be a 2-day workshop, with one in-person workshop day and one virtual workshop day. The workshop will feature oral presentation sessions and large poster sessions to facilitate the presentation of a wide array of original research. Moreover, there will be a panel discussion on “Transitioning from Academia to the EdTech Industry<https://sig-edu.org/news/bea21-call-for-panelists/>”, a half-day tutorial on Theory of Mind and its Applications in Educational Contexts, and two shared tasks on Vocabulary Difficulty Prediction for English Learners<https://www.britishcouncil.org/data-science-and-insights/bea2026st> and on Rubric-based Short Answer Scoring for German<https://edutec.science/bea-2026-shared-task/> comprising an oral overview presentation by the shared task organizers and several poster presentations by the shared task participants. The workshop will accept submissions of both full papers and short papers, eligible for either oral or poster presentation. We solicit papers that incorporate NLP methods, including, but not limited to: * use of generative AI in education and its impact; * automated scoring of open-ended textual and spoken responses; * automated scoring/evaluation for written student responses (across multiple genres); * game-based instruction and assessment; * educational data mining; * intelligent tutoring; * collaborative learning environments; * peer review; * grammatical error detection and correction; * learner cognition; * spoken dialog; * multimodal applications; * annotation standards and schemas; * tools and applications for classroom teachers, learners and/or test developers; and * use of corpora in educational tools. PANEL We invite applications and nominations for panelists to participate in a panel discussion on “Transitioning from Academia to the EdTech Industry.” Please see the call for panelists here: https://sig-edu.org/news/bea21-call-for-panelists/. SHARED TASKS Vocabulary Difficulty Prediction for English Learners Organizers: Mariano Felice (British Council) and Lucy Skidmore (British Council). Description: This shared task aims to advance research into vocabulary difficulty prediction for learners of English with diverse L1 backgrounds, an essential step towards custom content creation, computer-adaptive testing and personalised learning. In a context where traditional item calibration methods have become a bottleneck for the implementation of digital learning and assessment systems, we believe predictive NLP models can provide a more scalable, cost-effective solution. The goal of this shared task is to build regression models to predict the difficulty of English words given a learner’s L1. We believe this new shared task provides a novel approach to vocabulary modelling, offering a multidimensional perspective that has not been explored in previous work. To this aim, we will use the British Council’s Knowledge-based Vocabulary Lists (KVL), a multilingual dataset with psychometrically calibrated difficulty scores. We believe this unique dataset is not only an invaluable contribution to the NLP community but also a powerful resource that will enable in-depth investigations into how linguistic features, L1 background and contextual cues influence vocabulary difficulty. For more information on how to participate and latest updates, please refer to the shared task website: https://www.britishcouncil.org/data-science-and-insights/bea2026st Rubric-based Short Answer Scoring for German Organizers: Sebastian Gombert (DIPF), Zhifan Sun (DIPF), Fabian Zehner (DIPF), Jannik Lossjew (IPN), Tobias Wyrwich (IPN), Berrit Katharina Czinczel (IPN), David Bednorz (IPN), Sascha Bernholt (IPN), Knut Neumann (IPN), Ute Harms (IPN), Aiso Heinze (IPN), and Hendrik Drachsler (DIPF) Description: Short answer scoring is a well-established task in educational natural language processing. In this shared task, we introduce and focus on rubric-based short-answer scoring, a task formulation in which models are provided with a question, a student answer, and a textual scoring rubric that specifies criteria for each possible score level. Successfully solving this task requires models to interpret the semantics of scoring rubrics and apply their criteria to previously unseen answers, closely mirroring how human raters assign scores in educational assessment. Although rubrics have been used as auxiliary information in prior work on free-text scoring and LLM-based approaches, there has been little focused investigation of rubric-based short-answer scoring as a task in its own right. This setting poses distinct challenges, including ambiguous or underspecified rubric criteria and a wide range of valid student responses. With this shared task, we aim to stimulate systematic research on rubric-based scoring, assess how well current NLP methods can reason over rubrics, and identify promising modeling strategies. Additionally, by providing a German-language dataset, the shared task contributes a new non-English benchmark to the field. For more information on how to participate and latest updates, please refer to the shared task website: https://edutec.science/bea-2026-shared-task/ TUTORIAL Theory of Mind and Application in Educational Context Organizers: Effat Farhana (Auburn University), Maha Zainab (Auburn University), Qiaosi Wang (Carnegie Mellon University), Niloofar Mireshghallah (Carnegie Mellon University), Ramira van der Meulen (Leiden University), Max van Duijn (Leiden University). Description: This tutorial examines the integration of Theory of Mind (ToM) into AI-driven online tutoring systems, focusing on how advanced technologies, such as Large Language Models (LLMs), can model learners’ cognitive and emotional states to provide adaptive, personalized feedback. Participants will learn foundational principles of ToM from cognitive science and psychology and how these concepts can be operationalized in AI systems. We will discuss mutual ToM, where both AI tutors and learners maintain models of each other’s mental states, and address challenges such as detecting learner misconceptions, modeling meta-cognition, and maintaining privacy in data-driven tutoring. The tutorial also presents hands-on demonstrations of Machine ToM applied to programming education using datasets such as CS1QA and CodeQA, which contain Java and Python samples. By combining conceptual foundations, research insights, and practical exercises, this tutorial provides a comprehensive overview of designing human-centered, ethically aware, and cognitively informed AI tutoring systems. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). * Submission deadline: Monday, March 23, 2026 * Notification of acceptance: Tuesday, April 28, 2026 * Camera-ready papers due: Tuesday, May 12, 2026 * Workshop: Thursday, July 2, and Friday, July 3, 2026 SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. We generally follow ACL submission guidelines and will require that all submitted papers should include a dedicated "Limitations" section, which does not count toward the page limit. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. Link for submissions: https://softconf.com/acl2026/bea2026/ DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy. Specifically, papers being submitted both to BEA and another conference or workshop must: * Note on the title page the other conference or workshop to which they are being submitted. * State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE * Ekaterina Kochmar, MBZUAI * Andrea Horbach, Hildesheim University * Ronja Laarmann-Quante, Ruhr University Bochum * Marie Bexte, FernUniversität in Hagen * Anaïs Tack, KU Leuven, imec * Victoria Yaneva, National Board of Medical Examiners * Bashar Alhafni, MBZUAI * Zheng Yuan, University of Sheffield * Jill Burstein, Duolingo * Stefano Bannò, Cambridge University Workshop contact email address: bea.nlp.workshop(a)gmail.com<mailto:bea.nlp.workshop@gmail.com> PROGRAM COMMITTEE Tazin Afrin; David Alfter; Bashar Alhafni; Maaz Amjad; Nischal Ashok Kumar; Stefano Bannò; Michael Gringo Angelo Bayona; Lee Becker; Beata Beigman Klebanov; Luca Benedetto; Bhavya Bhavya; Serge Bibauw; Ted Briscoe; Dominique Brunato; Jie Cao; Dan Carpenter; Jeevan Chapagain; Guanliang Chen; Mei-Hua Chen; Christopher Davis; Orphee De Clercq; Kordula De Kuthy; Jasper Degraeuwe; Dushyanta Dhyani; Yuning Ding; Rahul Divekar; Kosuke Doi; Mohsen Dorodchi; Yo Ehara; Hamza El Alaoui; Sarra El Ayari; Andrew Emerson; Yao-Chung Fan; Mariano Felice; Nigel Fernandez; Michael Flor; Thomas François; Thomas Gaillat; Ananya Ganesh; Ritik Garg; Sebastian Gombert; Samuel González López; Cyril Goutte; Abigail Gurin Schleifer; Na-Rae Han; Ching Nam Hang; Jiangang Hao; Aki Härmä; Hasnain Heickal; Chieh-Yang Huang; Chung-Chi Huang; Radu Tudor Ionescu; Elsayed Issa; N J Karthika; Anisia Katinskaia; Elma Kerz; Fazel Keshtkar; Grandee Lee; Ji-Ung Lee; Arun Balajiee Lekshmi Narayanan; Jiazheng Li; Anastassia Loukina; Wanjing Anya Ma; Jakub Macina; Lieve Macken; Nitin Madnani; Arianna Masciolini; Detmar Meurers; Michael Mohler; Phoebe Mulcaire; Ricardo Muñoz Sánchez; Sungjin Nam; Diane Napolitano; Huy Nguyen; S Jaya Nirmala; Sergiu Nisioi; Michael Noah-Manuel; Adam Nohejl; Amin Omidvar; Daniel Oyeniran; Robert Östling; Ulrike Pado; Yannick Parmentier; Ted Pedersen; Mengyang Qiu; Martí Quixal; Chatrine Qwaider; Arjun Ramesh Rao; Vivi Peggie Rantung; Manikandan Ravikiran; Hanumant Redkar; Robert Reynolds; Saed Rezayi; Frankie Robertson; Aiala Rosá; Andreas Säuberli; Nicy Scaria; Ronald Seoh; Pritam Sil; Astha Singh; Lucy Skidmore; Maja Stahl; Katherine Stasaski; Helmer Strik; Hakyung Sung; Sowmya Vajjala; Elena Volodina; Nikhil Wani; Alistair Willis; Fabian Zehner. If you would like to join our PC, please fill in the form: https://forms.gle/gtKo6Bx6EFmwWf9w5

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Call for paper: 1st Workshop on Clinical Natural Language Processing for Quality of Life (cNLP4QoL)
by jej_0312_＠naver.com 06 Feb '26

06 Feb '26

1. Workshop Overview: Quality of Life (WHOQOL) is a multi-dimensional, whole-person construct encompassing physical health, psychological state, level of independence, social relationships, environment, and spirituality, operationalized through 24 facets including pain & discomfort, energy & fatigue, sleep & rest, mobility, activities of daily living, dependence on medication/treatment, work capacity, positive feelings, thinking/learning/memory/concentration, self-esteem, bodily image & appearance, negative feelings, personal relationships, social support, sexual activity, physical safety & security, home environment, financial resources, health & social care accessibility/quality, opportunities for acquiring information/skills, participation in recreation/leisure, physical environment (pollution/noise/traffic/climate), transport, and spirituality/religion/personal beliefs. Many of the most meaningful QoL indicators are primarily documented in unstructured clinical narratives and patient-generated text. This workshop adopts a whole-person perspective and aims to bring together researchers, clinicians, and practitioners to advance robust, explainable, and clinically actionable NLP methods for extracting, modeling, and integrating QoL signals into real-world healthcare workflows. 2. Topics of Interest (include but are not limited to): - NLP methods for extracting, interpreting, and predicting QoL indicators - Functional, psychosocial, and behavioral health modeling from text - Explainability, trustworthiness, and reasoning in clinical language models - Annotation frameworks and evaluation metrics for subjective QoL constructs - Patient portals, clinical messages, conversations, and longitudinal narratives - Synthetic data generation, ontologies, knowledge graphs, and benchmarks for QoL - Clinical deployment and workflow integration of QoL-focused NLP systems - Applications: EHRs including clinical notes, social media data, patient narratives 3. Submission Types (original, unpublished work): - Regular papers (8–10 pages): mature work with substantial evaluation - Short papers (4–6 pages): innovative ideas with preliminary results - Position papers (4–6 pages): emerging directions or critical perspectives - Abstracts (2 pages): vision papers or work in progress All submissions will undergo single-blind peer review. Accepted papers will be presented at the workshop and published in the IEEE ICHI 2026 Proceedings, archived in IEEE Xplore (camera-ready submission required). 4. Important Dates: - Workshop paper submission deadline: March 15, 2026 - Notification of acceptance: March 21, 2026 - Camera-ready papers due: March 28, 2026 - Workshop date: June 1, 2026 5. Submission Link: https://easychair.org/my2/conference?conf=ieeeichi2026 followed by cNLP4QoL track. Website Link: https://cnlp4qol.github.io/ICHI-cnlp4qol-2026/ Contact: cnlp4qol(a)gmail.com

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Job announcement: W3-Professorship in Digital Humanities at the University of Freiburg
by DH Lab 05 Feb '26

05 Feb '26

Dear all, We are pleased to share the following professorship announcement with you. Best regards / Mit freundlichen Grüßen Klara Oehler und Elena Renje University of Freiburg Coordination Digital Humanities Lab Job announcement: W3-Professorship for Digital Humanities at the University of Freiburg German Version below The Faculty of Philology (Department of General Linguistics in collaboration with the Digital Humanities Lab) is offering a W3-Professorship for Digital Humanities. * Application deadline: 17 March 2026 * Start date: At the earliest possible date * Scope of work: Full-time position * Id no.: 00004827 Description We are looking for an internationally visible scholar from the field of Digital Humanities (DH) with a language- or text-focused profile. A specialization in methods, applications, and contexts of Artificial Intelligence in the broader sense (including technical understanding such as coding, application to philological research questions, and ideological/ethical/didactic implications, etc.) is required. In-depth knowledge of established DH methods (e.g., NLP and other computational techniques and models, distant reading, etc.) is advantageous. Networking within the Faculty of Philology as well as active participation in research foci, centers, and collaborative projects are expected. The successful candidate will assume a leadership function in the DH Lab established in 2024 at the Faculty of Philology, and will play a leading role in the (further) development of DH-related study and certificate programs, as well as in modules within language, literary and cultural studies curricula. In all other respects, the conditions for appointment according to § 47 Landeshochschulgesetz apply: https://www.landesrecht-bw.de/bsbw/document/jlr-HSchulGBWV28P47 We request the following application materials: * Resumé * Certificates and diplomas * Complete list of publications and lectures, listing the five most important publications We will be particularly pleased to receive applications from women for the position advertised here. The university supports individuals appointed to professorial positions through a Dual Career Service and a Family Service. Application Please send your application including supporting documents mentioned above and the application form (https://intranet.uni-freiburg.de/public/downloads/saz/bewerbungsbogen-profe…) citing the reference number 00004827, by 17 March 2026 at the latest. Please send your application to the following address in written or electronic form: Prof. Dr. Dr. h.c. Bernd Kortmann University of Freiburg Faculty of Philology P.O. Box 79085 Freiburg or to the email address bewerbungen(a)philologie.uni-freiburg.de For further information, please contact Herr Prof. Dr. Achim Rabus on the phone number +49 761 203-8315 or E-Mail achim.rabus(a)slavistik.uni-freiburg.de Further information on the appointment procedure can be found in the Code for Practice for professorial appointments (in German): https://intranet.uni-freiburg.de/public/downloads/saz/berufungsleitfaden.pdf Link to job posting: https://uni-freiburg.de/en/job/00004827/ General and legal remarks: Full-time positions may generally be split up into two or more part-time positions, provided that there are no formal or legal barriers. Candidates are selected in accordance with the provisions of the AGG (Allgemeines Gleichbehandlungsgesetz - German General Equal Treatment Act). Applicants with disabilities (Schwerbehinderte Menschen) will be given preferential consideration in case of equal qualification. The department offering the position is liable for the content of this job posting. Textual errors do not constitute a basis for any claims or rights. The relevant human resources department has sole responsibility for all legal transactions made within the context of the selection and hiring process. Please note that breaches in privacy and unauthorized access by third parties cannot be excluded in communication by unencrypted email. Privacy policy: Privacy policy professorship: https://uni-freiburg.de/en/data-protection-applications/ ________________________________________ GERMAN VERSION Ausschreibung: W3-Professur für Digital Humanities an der Albert-Ludwigs-Universität Freiburg An der Philologischen Fakultät ist am Sprachwissenschaftlichen Seminar gemeinsam mit dem Digital Humanities Lab eine W3-Professur für Digital Humanities zu besetzen. * Bewerbungsfrist: 17. März 2026 * Eintrittstermin: Zum nächstmöglichen Zeitpunkt * Arbeitsumfang: Vollzeitstelle * Kennziffer: 00004827 Beschreibung Gesucht wird eine international sichtbare Persönlichkeit aus dem Bereich der Digital Humanities (DH) mit sprach- bzw. textbezogenem Profil. Ein Schwerpunkt im Bereich von Methoden, Anwendungen und Kontexten der Künstlichen Intelligenz im weiteren Sinne (technisches Verständnis inkl. Coding, Nutzbarmachung für philologische Fragestellungen, ideologische/ethische/didaktische Implikationen usw.) wird vorausgesetzt. Von Vorteil sind vertiefte Kenntnisse klassischer Methoden der DH (beispielsweise NLP- und weiterer komputationeller Techniken und Modelle, Distant Reading usw.). Die Vernetzung innerhalb der Philologischen Fakultät sowie die Mitwirkung an Forschungsschwerpunkten, Zentren und Verbundprojekten werden vorausgesetzt. Der*die erfolgreiche Kandidat*in nimmt eine leitende Funktion im 2024 gegründeten DH Lab an der Philologischen Fakultät ein und spielt eine führende Rolle bei der (Weiter-)Entwicklung DH-bezogener Studien- und Zertifikatsprogramme sowie von Modulen in sprach-, literatur- und kulturwissenschaftlichen Studiengängen. Im Übrigen gelten die Einstellungsvoraussetzungen des § 47 Landeshochschulgesetz: https://www.landesrecht-bw.de/bsbw/document/jlr-HSchulGBWV28P47 Folgende Bewerbungsunterlagen werden erbeten: * Lebenslauf * Zeugnisse und Urkunden * Vollständiges Schriften- und Vortragsverzeichnis unter Nennung der fünf wichtigsten Publikationen Für die hier ausgeschriebene Position freuen wir uns besonders über Bewerbungen von Frauen. Die Universität unterstützt Berufene über einen Dual Career Service und einen Familienservice. Bewerbung Bitte bewerben Sie sich mit o. g. Unterlagen und dem Ausdruck Ihres Bewerbungsformulars: https://intranet.uni-freiburg.de/public/downloads/saz/bewerbungsbogen-profe… unter Angabe der Kennziffer 00004827 bis spätestens 17. März 2026. Ihre Bewerbung richten Sie bitte in schriftlicher oder elektronischer Form an: Herrn Prof. Dr. Dr. h.c. Bernd Kortmann Universität Freiburg Philologische Fakultät Postfach 79085 Freiburg bzw. an die Mailadresse bewerbungen(a)philologie.uni-freiburg.de Für nähere Informationen steht Ihnen Herr Prof. Dr. Achim Rabus unter Tel. +49 761 203-8315 oder E-Mail achim.rabus(a)slavistik.uni-freiburg.de zur Verfügung. Weitere Informationen zum Berufungsverfahren: https://intranet.uni-freiburg.de/public/downloads/saz/berufungsleitfaden.pdf Link zur Stellenausschreibung: https://uni-freiburg.de/stellenangebot/00004827/ Allgemeine und rechtliche Hinweise Vollzeitstellen sind grundsätzlich teilbar, soweit dienstliche oder rechtliche Gründe nicht entgegenstehen. Die Auswahl erfolgt nach den Regeln des AGG (Allgemeines Gleichbehandlungsgesetz). Schwerbehinderte Menschen werden bei entsprechender Eignung bevorzugt eingestellt. Für den Inhalt dieser Anzeige ist die jeweils ausschreibende Einrichtung verantwortlich. Etwaige inhaltliche Fehler begründen keine Ansprüche oder Rechte. Die rechtsgeschäftliche Vertretung im Zusammenhang mit dem Besetzungsverfahren und der Einstellung erfolgt ausschließlich durch das zuständige Personaldezernat. Bitte beachten Sie, dass Gefährdungen der Vertraulichkeit und der unberechtigte Zugriff Dritter bei der Kommunikation per unverschlüsselter Mail nicht ausgeschlossen werden können. Datenschutz Datenschutzerklärung Professur: https://uni-freiburg.de/datenschutz-bewerbungen/

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2026

2025

2024

2023

2022

Corpora