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The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Fifth Call for Demos & DC & T
by Announce 03 Dec '25

03 Dec '25

*** Fifth Call for Demos, DC and Tutorials *** The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://cyprusconferences.org/aamas2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial submission of 1800 abstracts. This is by far the highest number of submissions (around 50% more than the previous highest number) in the 25 years of AAMAS. We still welcome submissions to the Demo Track, the DC Track as well as for tutorials. The Demo Track allows participants from both academia and industry to showcase their latest developments in agent-based and robotic systems. The DC (Doctoral Consortium) is an opportunity to interact closely with established researchers in your field as well as other PhD students to receive feedback on your work and to get advice on managing your career. Tutorials will be half-day long and will be in person — online/remote versions will not be accepted. A few full-day tutorials may be considered, but the proponents need to motivate their request when submitting their proposal. More information about the above calls, along with their respective important dates, are available on the AAMAS 2026 web site. Organizing Committee AAMAS 2026 General Chairs • Viviana Mascardi, University of Genova, Italy • John Thangarajah, RMIT University, Australia AAMAS 2026 Program Chairs • Chris Amato, Northeastern University, United States of America • Louise Dennis, University of Manchester, United Kingdom AAMAS 2026 Local Chairs • George A. Papadopoulos, University of Cyprus, Cyprus (Chair) • Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair)

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Job opening: Open rank position in Cognitive Science, Aarhus University
by rdkm＠cc.au.dk 02 Dec '25

02 Dec '25

Dear colleagues, The School of Communication and Culture at Aarhus University, Denmark invites applications for the position of either assistant professor, associate professor or full professor of cognitive science, based at the Department of Linguistics, Cognitive Science and Semiotics. The assistant professorship is a full-time, three-year fixed-term position, and subject to appropriate funding, there will be an opportunity to apply for a subsequent associate professorship. The associate and full professorships are both full-time, tenured positions. We are looking for an applicant who can strengthen our research profile in computational modelling of cognitive processes and/or computational modelling of social processes. The ideal applicant will contribute to the department’s collective research on cognitive and social processes and to the continued development of courses on mathematical and computational modelling of cognition within our BSc and MSc cognitive science programmes. Please note that this can also include computational linguistics and natural language processing, particularly in applied contexts. The deadline for applying is January 8th 2026. You can read the full job listing and apply here: https://international.au.dk/about/profile/vacant-positions/job/assistant-pr… — Ross Deans Kristensen-McLachlan Associate Professor, PhD Department for Linguistics, Cognitive Science, and Semiotics Aarhus University

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Final call, PROPOR 2026
by Hugo Gonçalo Oliveira 02 Dec '25

02 Dec '25

We remind interested authors that *PROPOR 2026*, the17th International Conference on Computational Processing of Portuguese Salvador - Bahia April 13th to 16th 2026 accepts submissions until *7 December 2025*. See the website for more details: https://propor2026.ufba.br/#cfp Larissa Freitas and Diana Santos, program chairs ---------- Hugo Gonçalo Oliveira CISUC, Department of Informatics Engineering, University of Coimbra http://eden.dei.uc.pt/~hroliv

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Dataset release: AraFinNews – the largest Arabic financial-news summarisation dataset to date.
by El-Haj, Mo 02 Dec '25

02 Dec '25

Dear all, I’m pleased to announce the release of AraFinNews, the largest Arabic financial-news summarisation dataset to date. GitHub: https://github.com/ArabicNLP-UK/AraFinNews HuggingFace: https://huggingface.co/datasets/drelhaj/AraFinNews Paper: https://arxiv.org/abs/2511.01265 AraFinNews includes 212,500 article–headline pairs (2015–2025) from reputable financial media, making it a strong Arabic counterpart to benchmarks like CNN/DailyMail. It provides clean structured text and article-level metadata, with ready-to-use splits for summarisation and for building downstream financial NLP tasks. Using this dataset, we evaluated mT5, AraT5, and the domain-adapted FinAraT5, with results demonstrating clear gains from financial-domain pretraining in headline generation. Best wishes, Mo See more of our NLP datasets and tools on: ArabicNLP.uk https://arabicnlp.uk/ HuggingFace: https://huggingface.co/drelhaj GitHub: https://github.com/drelhaj ArabicNLP-UK: https://github.com/orgs/ArabicNLP-UK/ UCREL: https://github.com/UCREL ———— Dr Mo El-Haj Director of NLP @ VinUniversity Reader (Associate Professor) in NLP CECS, VinUniversity, Vietnam SCC, Lancaster University, UK https://elhaj.uk<https://elhaj.uk/> https://vinnlp.com<https://vinnlp.com/>

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Release: Modality in Text - a Portuguese Corpus
by Amália Mendes 02 Dec '25

02 Dec '25

Dear all We are pleased to announce the release of several Portuguese corpus samples that have been manually annotated for modality. Please find more details here: https://github.com/Irishx/modality-pt-corpus Best regards, Iris Hendrickx and Amália Mendes Centro de Linguística da Universidade de Lisboa <http://www.letras.ulisboa.pt/>https://www.clul.ulisboa.pt

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1st CfP: Challenges in the Management of Large Corpora
by Piotr Banski 02 Dec '25

02 Dec '25

* 12th Workshop on the Challenges in the Management of Large Corpora (CMLC) 1st Call for Papers The next meeting of CMLC will be held as part of the LREC-2026 conference <https://lrec2026.info/>in Palma, Mallorca. See https://corpora.ids-mannheim.de/cmlc-2026.html <https://corpora.ids-mannheim.de/cmlc-2026.html>for up-to-date information. 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 • How to make corpora as accessible as possible • Interoperable APIs for query and analysis software • Provision of multiple levels of access for different tasks Machine/Deep Learning • Data preparation for machine learning input • Creation, curation, maintenance and dissemination of language models based on machine learning (e.g. word embeddings and entire deep learning networks) • Legal issues concerning language model distribution Linguistic content challenges • Dealing with the variety of language: multilinguality, minority and/or underrepresented languages, historical texts, noisy OCR texts, user-generated content, etc. • Diversity and inclusion in language resources • Integration of human computation (crowdsourcing) and automatic annotation • Quality management of annotations • 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. • Integrating different linguistic data types (text, audio, video, facsimiles, experimental data, neuroimaging data, …) Technical challenges • Storage and retrieval solutions for large text corpora: primary data (potentially including facsimiles, etc.), metadata, and annotation data • Corpus versioning and release management • Scalable and efficient NLP tooling for annotating and analysing large datasets: distributed and GPGPU computing; using big data analysis frameworks for language processing • Dealing with streaming data (e.g. Social Media) and rapidly changing corpora • Environmental impact of big language data computing • Engineering and management of research software Exploitation challenges • Legal and privacy issues • Query languages, data models, and standardisation • Licensing models of open and closed data, coping with intellectual property restrictions • Innovative approaches for aggregation and visualisation of text analytics • 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: 16.02.2026 • Notification of acceptance: 12.03.2026 • Deadline for the submission of camera-ready papers: 30.03.2026 • Meeting: details TBA Paper submission We invite anonymised extended abstracts for oral presentations on the topics listed below, as PDF created according to LREC-2026 templates <https://lrec2026.info/authors-kit/>. 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 the START system (URL TBA). A volume of proceedings will be published online by ELRA. 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 Names will be added as Programme Committee members confirm their participation. 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 at http://corpora.ids-mannheim.de/cmlc.html <http://corpora.ids-mannheim.de/cmlc.html> * -- Dr. Piotr Bański Leibniz-Institut für Deutsche Sprache, R5 6-13 68-161 Mannheim, Germany

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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): Last Call for Doctoral Consortium
by Announce 02 Dec '25

02 Dec '25

*** Last Call for Doctoral Consortium *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). The IUI 2026 Doctoral Consortium (DC) provides students an opportunity to present their research and receive feedback from a panel of mentors comprising senior researchers in the field. We invite students who want to benefit from the guidance given by the experienced mentors for planning the future steps in their research project. The ideal participant is a doctoral student about two years from finishing their Ph.D. However, we will also consider advanced Master students and junior Ph.D students provided their research plan is sufficiently developed to benefit from the discussion at the DC. The IUI Doctoral Consortium will provide students with an opportunity to: • present and discuss the status of their research with experienced scholars in a supportive, formative, and yet critical environment; • explore and further develop their research ideas through constructive feedback provided by the mentors and other DC students; • network and build collaborations with other members of the community; • discuss various professional aspects and career opportunities. Submission and Participation Submissions will be reviewed and selected by the DC committee and DC mentors. DC candidates should have developed a clear topic and research approach and have made some progress, but are not too far along in their research so that they can still reshape their research topic or approach. The final version of accepted Doctoral Consortium submissions will be included in the IUI companion proceedings published in the ACM Digital Library. DC participants are expected to attend in person the Doctoral Consortium workshop that will take place as a separate session during the conference (date to be announced). DC participants will also have the opportunity to present their research in the poster session during the main program. Complimentary/reduced conference registration will be available for DC participants under the precondition that they agree to assist as student volunteers in the organization of the conference. They will also be given priority when applying for the student travel awards (for details, see the Travel Funding page on the conference website). Submission Instructions If you are unsure about eligibility or submission requirements, please do not hesitate to email us at dc2026(a)iui.acm.org! To apply for the Doctoral Consortium, two steps are required: • Please submit a single PDF containing your technical submission (for details see below) via PCS by December 17, 2025. • In addition, your doctoral or thesis advisor should send a separate, brief letter of recommendation to the DC chairs at dc2026(a)iui.acm.org by December 17, 2025. For the technical submission, please upload a single PDF containing the following four items to https://new.precisionconference.com/~sigchi<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> . 1. Cover Letter (1 page max): Please include your full name, contact details, affiliation, web page, expected graduation date and target degree, the name of your thesis advisor, gender (optional), home country (optional), and whether you are a member of an underrepresented minority group (optional). 2. DC Submission (4 pages max including references): A document describing your thesis/dissertation topic and research plan and your progress thus far. Key points the submission should include: • motivation for your dissertation research • goal and research questions • related work that frames your research • methods/approach to reach the goal • results, if any • next steps for your research 3. Questions to mentors and co-students (1 page max): List the main questions and discussion points regarding your thesis/dissertation topic for which you expect to receive feedback from the Doctoral Consortium mentors/ participants. 4. Your CV (3 pages max): Provide an academic curriculum vitae (CV) document. How to Format and Submit Prepare your submission for review in a single column format, using the latest templates: Word Submission Template, or the LaTeX template using \documentclass[manuscript,review,anonymous]{acmart} for the LaTeX template. All materials must be submitted electronically to PCS 2.0 https://new.precisionconference.com/~sigchi<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> by the Doctoral Consortium deadline. In PCS 2.0, first click "Submissions" at the top of the page, from the dropdown menus for society, conference, and track select "SIGCHI", "IUI 2026" and "IUI 2026 DC", respectively, and press "Go". Notifications and Possible SIGCHI Funding Acceptance notifications will be sent by January 6, 2026. Note that SIGCHI offers travel funding via the Gary Marsden Travel Awards. The application deadline for this is Jan 9th. More information can be find at https://iui.acm.org/2026/travel-funding/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> . Important Dates • Paper Submission: December 17, 2025 • Acceptance Notification: January 6, 2026 All dates are 23:59h AoE (anywhere on Earth). Organisation General Chairs • Tsvi Kuflik, The University of Haifa, Israel • Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair • George A. Papadopoulos, University of Cyprus, Cyprus Doctoral Consortium Chairs • Bart Knijnenburg, Clemson University, USA • Osnat (Ossi) Mokryn, University of Haifa, Israel • Martijn Willemsen, Eindhoven University of Technology & JADS, The Netherlands

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Second Call for Papers: The Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026 @ EACL)
by Ranasinghe, Tharindu 01 Dec '25

01 Dec '25

𝗦𝗲𝗰𝗼𝗻𝗱 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗧𝗵𝗲 𝗦𝗲𝗰𝗼𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗟𝗼𝘄-𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 [Workshop website - https://loreslm.github.io/home] [CFP - https://loreslm.github.io/cfp] [Submissions - https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM] Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. Supporting this important shift, LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages. 𝗧𝗼𝗽𝗶𝗰𝘀 LoResLM 2026 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages. We welcome research that explores modalities beyond text and encourage work on low-resource dialects in addition to major language varieties. Topics of interest include, but are not limited to: • Building language models for low-resource languages. • Adapting/extending existing language models/large language models for low-resource languages. • Corpora creation and curation technologies for training language models/large language models for low-resource languages. • Benchmarks to evaluate language models/large language models in low-resource languages. • Prompting/in-context learning strategies for low-resource languages with large language models. • Review of available corpora to train/fine-tune language models/large language models for low-resource languages. • Multilingual/cross-lingual language models/large language models for low-resource languages. • Multimodal language models/large language models for low-resource languages • Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.) 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀 We follow the EACL 2026 standards for submission format and guidelines. LoResLM 2026 invites submissions of long papers up to 8 pages and short papers up to 4 pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references), papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an appendix. To prepare your submission, please make sure to use the EACL 2026 style files available here: • Latex - https://github.com/acl-org/acl-style-files • Overleaf - https://www.overleaf.com/latex/templates/association-for-computational-ling… Papers should be submitted through OpenReview using the following link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀 • Paper submission: 6th January 2026 • Notification of acceptance: 28th January 2026 • Camera-ready submission: 3rd February 2026 • Workshop: March 28, 2026- March 29, 2026 (TBD) @ EACL 𝗩𝗲𝗻𝘂𝗲 LoResLM 2026 will be held in conjunction with EACL 2026 in Rabat, Morocco. 𝗣𝗿𝗼𝗰𝗲𝗲𝗱𝗶𝗻𝗴𝘀 Proceedings of the workshop will appear in the ACL Anthology. For the past proceedings, please refer https://scholar.google.co.uk/citations?user=rvm3HOgAAAAJ&hl=en 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 Prof Barbara Plank - Full professor and chair for AI and Computational Linguistics at Ludwig-Maximilians-Universität München, Head of the Munich AI and NLP (MaiNLP) lab, and co-director of the Centre for Information and Language Processing (CIS) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 David Ifeoluwa Adelani - McGill School of Computer Science, Canada Idris Abdulmumin - University of Pretoria, South Africa Godfred Agyapong - University of Florida, USA Isuri Anuradha - Lancaster University, UK Laura Bernardy - University of Luxembourg, Luxembourg Ana-Maria Bucur - University of Lugano, Switzerland Eleftheria Briakou - Google Tommaso Caselli - University of Groningen, Netherlands Çağrı Çöltekin - University of Tübingen, Germany Charibeth Ko Cheng - De La Salle University, Philippines Claudiu Creanga - University of Bucharest Sourabh Deoghare - Indian Institute of Technology, Bombay, India Bosheng Ding - Nanyang Technological University, Singapore Alphaeus Dmonte - George Mason University, USA Daan van Esch - Google Ignatius Ezeani - Lancaster University, UK Anna Furtado - University of Galway, Ireland Ona de Gibert - University of Helsinki, Finland Amal Htait - Aston University, UK Diptesh Kanojia - University of Surrey, UK Jaroslav Kopčan - Kempelen Institute of Intelligent Technologies, Slovakia Constantine Lignos - Brandeis University, USA Cedric Lothritz - Luxembourg Institute of Science and Technology, Luxembourg Anne-Marie Lutgen - University of Luxembourg, Luxembourg Sheng Li - Institute of Science Tokyo, Japan Veronika Lipp - Hungarian Research Centre for Linguistics, Hungary Vukosi Marivate - University of Pretoria, South Africa Muhidin Mohamed - Aston University, UK Simon Münker - Trier University, Germany Abiodun Modupe - University of Pretoria, South Africa Fred Philippy - University of Luxembourg, Luxembourg Md Nishat Raihan - George Mason University, USA Mariana Romanyshyn - Grammarly Guokan Shang - Mohamed bin Zayed University of Artificial Intelligence, France Ravi Shekhar - University of Essex, UK Archchana Sindhujan - University of Surrey, UK Hristo Tanev - Joint Research Centre, European Commission Uthayasanker Thayasivam - University of Moratuwa, Sri Lanka Raúl Vázquez - University of Helsinki, Finland Taro Watanabe - Nara Institute of Science and Technology, Japan- Zheng Xin Yong - Brown University, USA Alexandra Zbaganu - University of Bucharest, Romania 𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 Hansi Hettiarachchi – Lancaster University, UK Tharindu Ranasinghe – Lancaster University, UK Alistair Plum – University of Luxembourg, Luxembourg Damith Premasiri – Lancaster University, UK Fiona Anting Tan – National University of Singapore, Singapore Lasitha Uyangodage – University of Münster, Germany 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘀 Paul Rayson – Lancaster University, UK Ruslan Mitkov – Lancaster University, UK Mohamed Gaber – Queensland University of Technology, Australia 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆 The workshop is supported in part by the Artificial Intelligence Journal, which promotes and disseminates AI research. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝘂𝘀 Contact us through loreslm.contact(a)gmail.com. Follow us on social media • LinkedIn - https://www.linkedin.com/company/loreslm/ • X - https://x.com/LoResLM2026 • BlueSky - https://bsky.app/profile/loreslm.bsky.social Best Regards Tharindu Ranasinghe, on behalf of the organising committee, LoResLM 2026 Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science School of Computing and Communications | Lancaster University

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 01 Dec '25

01 Dec '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

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PhD and Postdoc positions in NLP @ Uni Potsdam, Germany
by David Schlangen 01 Dec '25

01 Dec '25

There will be several openings in 2026 in my lab at the University of Potsdam, Germany: - For a start in early 2026, there will be one position for a PhD student in a project, and another position (that comes with a teaching load) for a PhD student or a postdoc. - For a start in autumn 2026, there will be a position for a Postdoc (again, with teaching load). Some keywords: language learning in interaction / learning to interact; simulating situated use / building "agents"; evaluating LLM(-agents) in interaction; pragmatics of human/AI interaction. Positions are open until filled; reviewing of applications has started. For more information about the positions and on how to apply, see: https://clp.ling.uni-potsdam.de/positions/ . -David Schlangen --- David Schlangen Chair "Foundations of Computational Linguistics" Department of Linguistics, University of Potsdam Karl-Liebknecht-Strasse 24-25 14476 Potsdam, Germany Campus Golm, Building 14, Room 2.18 Tel. +49 331 977 2692 Tel. Secretary +49 331 977 2016 http://clp.ling.uni-potsdam.de

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