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Assistant professor in Computational lingustics
by Sara Stymne 08 Apr '25

08 Apr '25

Join the Computational Linguistics group at Uppsala University! We are hiring an Assistant Professor (Tenure Track) in Computational Linguistics Application deadline: April 29, 2025 Find out more and apply: https://uu.varbi.com/en/what:job/jobID:809532/ ****************************** Description The department is seeking an associate senior lecturer in computational linguistics. Computational linguistics, or language technology, is an interdisciplinary field dealing with computational models of natural language. Traditionally, research has been driven both by the theoretical goal of understanding human language and by practical applications such as machine translation, information retrieval, and human-computer dialogue. The area has in recent years increasingly been influenced by the emergence of large language models and generative AI. The computational linguistics group at Uppsala University conducts research within a broad field with two focus areas: digital philology and multilingual language technology. Education is primarily offered at the second-cycle level, within the international master’s program in language technology, and at the third-cycle level within the PhD program in computational linguistics. Subject area Computational linguistics Duties The aim of the position is to give the teacher the opportunity to develop independence as a researcher and enhance their academic as well as their pedagogical qualifications in order to meet the criteria for employment as senior lecturer. The duties comprise research within the relevant area of specialization (50% of full-time) as well as teaching and administration (no more than 50% of full-time). Teaching includes supervision, course responsibility, course administration, and course development. Teaching primarily consists of courses in language technology, including master’s thesis supervision, within the international master’s program in language technology, which is taught in English. Teaching may include courses with the following specializations: general language technology, language technology applications such as information retrieval and machine translation, machine learning in language technology, as well as programming and mathematics. It may also include supervision of PhD students. As an associate senior lecturer, the candidate is expected to actively apply for external research funding, to stay aware of developments within their field of specialization, and to take part in the faculty’s and department’s development of research and teaching. Eligibility requirements Applicants are eligible for employment as associate senior lecturer if they hold a doctoral degree or have the equivalent academic competence, have demonstrated pedagogical competence, and have the personal characteristics required in order to carry out the duties that the position involves well. Precedence will be given to applicants who completed their PhD projects or reached the equivalent competence no more than five years before the deadline for applications. In order to meet the requirement of pedagogical competence, the applicant should have completed at least five weeks of relevant training in tertiary-level teaching or acquired the equivalent competence in other ways. In special circumstances, the training can be carried out during the first two years of employment. Ability to teach in English is required. The candidate is furthermore expected to be able to use Swedish as a working language within two years. The candidate should have the personal characteristics required to carry out the duties of the position well. Such characteristics include flexibility, the capacity to work well with others, and a sense of responsibility. It is a requirement that the applicant’s academic, pedagogical, and professional competence is relevant to the subject area and duties that the position involves. När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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Survey about data annotation and data acquisition platforms
by Roman Klinger 08 Apr '25

08 Apr '25

Dear Colleagues, Cornelia Sindermann (computational psychologist, University of Stuttgart) and I (natural language processing person, University of Bamberg) are in the phase of preparing a project proposal, for which we could use your help. Our goal is to develop a novel annotation and data acquisition platform that is flexible enough to be used across research fields. In preparation for that, we would like to collect some information on the use of data acquisition platforms (survey tools, annotation tools) that are used in our various research communities. You could help us with that by filling the form at https://tinyurl.com/annotation2025fis (redirects to a qualtrics survey). If you have questions about this, please do not hesitate to contact us at roman.klinger(a)uni-bamberg.de and cornelia.sindermann(a)iris.uni-stuttgart.de! Thank you in advance and best regards, Roman

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[2nd CFP] The LLMs4Subjects Shared Task -- LLM-based Subject Tagging for a Technical Library's Digital Catalog
by D'Souza, Jennifer 08 Apr '25

08 Apr '25

The 2nd LLMs4Subjects Shared Task: LLM-based Subject Tagging for the TIB Technical Library's Digital Catalog Theme: The Development of Energy- and Compute-Efficient LLM Systems Organized as part of the German Evaluation (GermEval 2025) Shared Task Series 10. - 12. September, 2025 Hildesheim, Germany (co-located with KONVENS 2025 - Conference on Natural Language Processing) 2nd LLMs4Subjects Shared Task: https://sites.google.com/view/llms4subjects-germeval/ KONVENS 2025: https://konvens-2025.hs-hannover.de/about/ Task Overview LLMs4Subjects challenges the research community to develop cutting-edge LLM-based solutions for subject tagging of technical records from Leibniz University's Technical Library (TIBKAT). Participants are tasked with leveraging large language models (LLMs) to tag technical records using the GND taxonomy. The task involves bilingual language modeling, as systems must process technical documents in both German and English. Successful solutions may be integrated into the operational workflows of TIB, the Leibniz Information Centre for Science and Technology. With the rapid advancements in LLMs, the focus is shifting toward making these models more energy- and compute-efficient while maintaining high performance. Recent innovations, such as the DeepSeek series, have demonstrated how techniques like mixture-of-experts (MoE) and model distillation can significantly reduce computational costs without sacrificing effectiveness. The 2nd LLMs4Subjects shared task highlights the importance of efficiency in LLMs, encouraging participants to explore strategies that enhance model performance while optimizing for energy consumption and inference speed. We welcome approaches (but not limited to) that leverage model compression, quantization, efficient fine-tuning, and adaptive computation techniques to push the boundaries of sustainable AI development. Subtasks The 2nd LLMs4Subjects shared task organizes the following two subtasks: Subtask 1 - Multi-Domain Classification of Library Records Subtask 2 - Large-scale Multilabel Subject Indexing of Library Records Important Dates * Release of training data: March 8, 2025 * Release of testing data: May 23, 2025 * Deadline for system submissions: June 2, 2025 * Evaluation end: June 27, 2025 * Paper submission deadline: July 7, 2025 * Notification of acceptance: June 28, 2025 * Camera-ready paper due: August 15, 2025 * Workshop/KONVENS: September 10 - 12, 2025 (TBA)

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Fully-funded PhD position in language acquisition / computational linguistics
by Matusevych, Yevgen 08 Apr '25

08 Apr '25

A PhD position at the University of Groningen, the Netherlands: - Fully-funded 4-year position - Research focus: using computational models (including small probabilistic models and neural network language models) to study the acquisition of modal verbs - Programming skills and background in linguistics / language acquisition required - Supervisors: Annemarie van Dooren, Yevgen Matusevych, Arianna Bisazza - Application deadline: 24 April 2025 - More details and application: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… -- Yevgen Matusevych Assistant Professor Computational Linguistics, University of Groningen https://yevgen.web.rug.nl

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2nd CFP: ClimateCheck – Shared Task on Scientific Fact-Checking of Social Media Claims on Climate Change
by Georg Rehm 08 Apr '25

08 Apr '25

ClimateCheck: Shared Task on Scientific Fact-Checking of Social Media Claims on Climate Change Hosted as part of the SDP 2025 Workshop at ACL 2025 31 July 2025 Vienna, Austria ClimateCheck Shared Task: https://sdproc.org/2025/climatecheck.html Competition on Codabench: https://www.codabench.org/competitions/6639/ Shared Task Overview Social media facilitates discussions on critical issues such as climate change, but it also contributes to the rapid dissemination of misinformation, which complicates efforts to maintain an informed public and create evidence-based policies. In this shared task, we emphasise the need to link public discourse to peer-reviewed scholarly articles by gathering claims from social media about climate change (both real-life and automatically generated ones) as well as a corpus of about 400,000 abstracts of publications from climate science research. The participants will be asked to retrieve relevant abstracts for each claim (subtask I) and classify the relation between the claim and abstract as ‘supports’, ‘refutes’, or ‘not enough information’ (subtask II). Participants are allowed to take part either in subtask I only, or in both subtasks. Subtask I: Abstracts Retrieval Task: given a claim from social media about climate change and a corpus of abstracts, retrieve the top 10 most relevant abstracts. Evaluation: Recall@K (K=2, 5, 10) and B-Pref based on annotated gold data; additional unjudged documents will be reviewed by annotators. Subtask II: Claim Verification Task: given the claim-abstract pairs received from the previous subtask, classify their relation as ‘supports’, ‘refutes’, or ‘not enough information’. Evaluation: Precision, Recall, and F1 weighted scores based on annotated documents. Important dates Release of training data: April 1, 2025 Release of testing data: April 15, 2025 Deadline for system submissions: May 16, 2025 Paper submission deadline: May 23, 2025 Notification of acceptance: June 13, 2025 Camera-ready paper due: June 20, 2025 Workshop: July 31, 2025 We encourage and invite participation from junior researchers and students from diverse backgrounds. Participants are also encouraged to submit a paper describing their systems to the SDP 2025 workshop. Organisers Raia Abu Ahmad (DFKI, Berlin, Germany) Aida Usmanova (Leuphana University, Lüneburg, Germany) Georg Rehm (DFKI, Berlin, Germany)

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2nd Call for Participation: Scientific Visual Question Answering Shared Task (SciVQA)
by Georg Rehm 08 Apr '25

08 Apr '25

SciVQA: Scientific Visual Question Answering Shared Task Hosted as part of the SDP 2025 Workshop at ACL 2025 31 July 2025 Vienna, Austria SciVQA Shared Task: https://sdproc.org/2025/scivqa.html Competition on Codabench: https://www.codabench.org/competitions/5904 Shared Task Overview Scholarly articles convey valuable information not only through unstructured text but also via (semi-)structured figures such as charts and diagrams. Automatically interpreting the semantics of knowledge encoded in these figures can be beneficial for downstream tasks such as question answering (QA). In SciVQA, challenge participants will develop multimodal QA systems using a dataset of 3000 images of scientific figures from ACL Anthology and arXiv papers. Each figure is annotated with seven QA pairs (21000 in total) and includes metadata such as caption, ID, type (e.g., compound, line graph, bar chart, scatter plot), and QA pair type. This shared task specifically focuses on closed-ended visual (i.e., addressing visual attributes such as colour, shape, size, height, etc.) and non-visual (not addressing figure visual attributes) questions. Evaluation Systems will be evaluated using BERTscore, ROUGE-L, and ROUGE-1 metrics. Automated evaluations of submitted systems will be performed through Codabench. Important Dates Release of training data: April 1, 2025 Release of testing data: April 15, 2025 Deadline for system submissions: May 16, 2025 Paper submission deadline: May 23, 2025 Notification of acceptance: June 13, 2025 Camera-ready paper due: June 20, 2025 Workshop: July 31, 2025 Participants are invited to submit papers on their systems. Successful submissions will be published in the proceedings of the SDP 2025 workshop. Organizers Ekaterina Borisova (DFKI, Berlin, Germany) Georg Rehm (DFKI, Berlin, Germany)

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2nd CALL FOR PAPERS: ICNLSP 2025, 8th International Conference on Natural Language and Speech Processing, August 25-27, 2025, Odense, Denmark
by Mourad Abbas 08 Apr '25

08 Apr '25

The *8th International Conference on Natural Language and Speech Processing (ICNLSP 2025)* <https://www.icnlsp.org/2025welcome/> welcomes contributions on both the *theoretical foundations and applied aspects of Natural Language Processing (NLP) and Speech Processing*. The conference will feature regular sessions, along with keynote talks delivered by distinguished international researchers. We invite authors to submit their work on topics relevant to *ICNLSP 2025* <https://www.icnlsp.org/2025welcome/> and contribute to advancing research in the field. *The conference will be hybrid.* Topics (ICNLSP 2025) invites contributions on a wide range of topics, including but not limited to: -Natural Language Processing (NLP): Cognition and NLP Machine translation Text categorization Summarization Sentiment analysis and opinion mining Computational social web Under-resourced languages: tools and corpora Large language models (LLMs) NLP tools for software requirements and engineering Text annotation tools Knowledge fundamentals and knowledge management systems Information extraction Data mining and information retrieval Lexical semantics and knowledge representation Visualization for nlp -Speech Processing: Signal processing and acoustic modeling Speech recognition (architecture, search methods, lexical modeling, language modeling, adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.) Speech analysis Paralinguistics in speech and language (perception of paralinguistic phenomena, speaker states and traits analysis, etc.) Spoken dialogue systems and conversational analysis Speech translation Speech synthesis Speaker verification and identification Language identification Speech coding, enhancement, and intelligibility Speech perception and production Brain studies on speech Phonetics, phonology, and prosody Speech and hearing disorders Paralinguistics of pathological speech and language Speech technology for disordered speech and hearing *Important dates* All deadlines are 11:59 PM UTC-12:00 (“anywhere on Earth”). *Submission deadline:* May 25, 2025 11:59 PM (GMT). *Notification of acceptance:* July 20, 2025. *Camera-ready paper due:* August 3, 2025. *Conference dates:* August 25-27, 2025. Keynote speakers- Prof. Dr. Barbara Plank, LMU Munich, Germany. - Prof. Peter Schneider-Kamp, SDU, Denmark. *Publication* 1- *All accepted papers will be published in ACL Anthology <https://aclanthology.org/>.* *2- **Selected** papers will be published (after extension) in:* Signals and Communication Technology (Springer), indexed in *Scopus* <https://www.scopus.com/> and *zbMATH* <https://zbmath.org/>. *Best paper award* To recognize outstanding scientific contributions, *ICNLSP 2025* will present two awards: - *Best Full Paper Award* - *Best Short Paper Award* These awards will be judged by the *Scientific Committee*, based on recommendations from the *Program Committee*. The selection process will consider the *originality, significance, and quality* of the research, as well as the clarity of presentation. We look forward to honoring exceptional contributions to the field of *Natural Language and Speech Processing*! For more information check the conference website : *icnlsp.org/2025welcome* <http://icnlsp.org/2025welcome>

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GermEval 2025 Shared Task on Candy Speech Detection: 3rd Call for Participation
by Michael Wiegand 08 Apr '25

08 Apr '25

apologies for cross-posting We are pleased to announce the *GermEval Shared Task on Candy Speech Detection („Flausch-Erkennung“)* This is the third call to participate in the shared task on candy speech detection („Flausch-Erkennung“). We invite everyone from academia and industry to participate in the shared task. The workshop discussing the results of this shared task is planned to be held in conjunction with the Conference on Natural Language Processing (KONVENS) in September 2025. *Introduction* Numerous methods have been developed for detecting and censoring negative speech (e.g., hate speech or offensive or harmful language) on social media platforms. However, there is much less focus on identifying and promoting positive supportive discourse in online communities. Our shared task aims to address this gap and encourage researchers to focus on such positive expressions. The task is to identify expressions of candy speech (Flausch) in online posts (YouTube comments). We define candy speech as expression of positive attitudes on social media toward individuals or their output (videos, comments, etc.). The purpose of candy speech is to encourage, cheer up, support and empower others. It can be viewed as the counterpart to hate speech, as it also aims to influence the self-image of the target person or group, but in a positive way. *Data* We will provide the participants with annotated training (and development) and unlabeled test datasets containing complete written, German language comment threads under YouTube videos posted by different content creators. The content creators and communities vary in topic, style, age group, etc. The training and test datasets do not overlap in terms of YouTube videos. Furthermore, the test dataset mostly contains (comments on) videos from content creators that are different from those in the training dataset. The communities commenting on these videos can therefore be expected to differ. *Task Details* Candy speech detection is the task of identifying the presence of candy speech (at the span level) in a given YouTube comment and classifying each expression in one of the predefined categories. This shared task focuses on German speaking YouTube communities. Participants will be provided with a dataset of YouTube comments manually annotated for different types of candy speech expressions. We offer the following two subtasks. Participants in this year's shared task may choose to participate in either subtask: Subtask 1: Coarse-Grained Classification The goal of this subtask is to identify whether the given comment contains candy speech ("Flausch") or not. The dataset is manually annotated for the presence of candy speech. Subtask 2: Fine-Grained Classification The goal of this subtask is to identify the span of each candy speech expression in a given text and classify it in one of the predefined categories. The dataset is manually annotated for 10 different types of candy speech expressions, such as “positive feedback”, “compliment”, “group membership” etc. More details on the subtasks (including examples) can be found at the website of the shared task (see link below). *Important dates* Trial data available: February 15, 2025 Training data available: March 3, 2025 Test data available: June 10, 2025 Evaluation start: June 16, 2025 Evaluation end: June 27, 2025 Paper submission due: July 11, 2025 Camera ready due: August 15, 2025 GermEval workshop: September 10, 2025 (co-located with KONVENS) *Website* https://yuliacl.github.io/GermEval2025-Flausch-Erkennung/ *GermEval* GermEval is a series of shared task evaluation campaigns that focus on Natural Language Processing for the German language. GermEval has been conducted regularly since 2014 in co-location with KONVENS/GSCL conferences: https://germeval.github.io/tasks/ *contact email* Please send any enquiry to the following email address: germeval-2025-candy-speech(a)ruhr-uni-bochum.de Best regards, Yulia Clausen, Ruhr-Universität Bochum, Germany Tatjana Scheffler, Ruhr-Universität Bochum, Germany Michael Wiegand, Universität Wien, Austria

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[IJCAI-2025] 2nd Workshop on Agent AI for Scenario Planning (AgentScen)
by CHUNG-CHI CHEN 08 Apr '25

08 Apr '25

Dear Colleagues, (Apologize if you received multiple emails from different mailing lists) We are pleased to announce that the 2nd Workshop on Agent AI for Scenario Planning (AgentScen) will be held in conjunction with* IJCAI-25* from August 16–22, 2025, in Montreal, Canada. This workshop will include both paper presentations and *a shared task - **generating business ideas from patent documents*. The goal of the AgentScen workshop is to explore the potential of agent AI in scenario planning.* The submission deadline is May 9, 2025. Workshop details can be found at: * https://sites.google.com/view/agentscen Scenario planning can be applied to key healthcare and biomedical domains, such as pandemic preparedness, hospital resource management, advancements in medical technology, health insurance sustainability, and the future of telemedicine. In the finance and business sectors, it can assist executives, financial analysts, and decision-makers in navigating uncertainties related to market volatility, interest rate fluctuations, investment risks, corporate financial planning, regulatory changes, and technological disruptions. By constructing and analyzing alternative scenarios, organizations can better anticipate challenges and seize emerging opportunities. We are also introducing* a shared task focused on generating business ideas from patent documents.* Participants will be provided with a set of patents and asked to generate explanations for potential future products based on the patented technologies. The aim is to foster AI-driven innovation by leveraging patents as rich sources of technical insight. We look forward to your participation. Best regards, AgentScen Organizers Chung-Chi Chen - Artificial Intelligence Research Center, AIST, Japan Tatsuya Ishigaki - Artificial Intelligence Research Center, AIST, Japan Sophia Ananiadou - University of Manchester, UK Hiroya Takamura - Artificial Intelligence Research Center, AIST, Japan Wataru Hirota - Stockmark, Japan (Shared Task) Tomoko Ohkuma - Asahi Kasei Corporation, Japan (Shared Task) Tomoki Taniguchi - Asahi Kasei Corporation, Japan (Shared Task)

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2nd CFP - AAAS-2025
by Kurimo Mikko 07 Apr '25

07 Apr '25

[Apologies for cross-posting] == Second Call for Papers and Extended Abstracts == 1st Workshop on Automatic Assessment of Atypical Speech (AAAS-2025) We would like to invite you to submit papers to AAAS workshop co-located with NoDaLiDa/Baltic-HLT<https://www.nodalida-bhlt2025.eu> in Hestia Hotel Europa in Tallinn, Estonia on March 5th, 2025. Workshop website: https://teflon.aalto.fi/aaas-2025/ == Important Dates == Submission DL: 16 December 2024 (both papers and abstracts) Notification of acceptance: 24 January 2025 Camera-ready DL: 3 February 2025 Workshop: 5 March 2025 (full day) All deadlines are 11:55PM UTC-12:00 ("anywhere on Earth"). == Overview == Automatic Assessment of Atypical Speech (AAAS) explores the assessment of pronunciation and speaking skills of children, language learners, people with speech sound disorders and methods to provide automatic rating and feedback using automatic speech recognition (ASR) and large language models (LLMs). Automatic speaking assessment (ASA) is a rapidly growing field that answers to the need of developing AI tools for self-practising second and foreign language skills. This is not limited to pronunciation assessment, but the AI tools can also provide more complex feedback about fluency, vocabulary and grammar of the recorded speech. ASA is also very relevant for detection and quantification of speech disorders and for developing speech exercises that can be performed independent of time and place. The important applications of non-standard speech also include interfaces for children and elderly speakers as an alternative to using text input and output. The topic is timely, because the latest large speech models allow us now to develop ASR and classification methods for low-resourced data, such as atypical speech, where annotated training datasets are rarely available and expensive and difficult to produce and share. The goal of this workshop is to present the latest results in ASA and discuss the future work and collaboration between the researchers in Nordic and Baltic countries. == Topics of Interest == In particular, we would like to invite students, researchers, and other experts and stakeholders to contribute papers and/or join the discussion on the following (and related) topics: Automatic speaking assessment (ASA) for L2 (second or foreign language) pronunciation ASA for spoken L2 proficiency ASA for speech sound disorders (SSD) Automatic speech recognition (ASR) for L2 learners ASR for children and young L2 learners ASA and ASR for Nordic and other low-resource languages and tasks Spoken L2 learning and speech therapy using games Automatic generation of verbal feedback for spoken L2 learners using LLMs == Submission Details == We accept both short and long papers, as well as demo papers. The submissions must describe original and unpublished work. Paper length: Short and demo papers up to 4 pages. Long papers up to 8 pages. References are not included in the page count, and the camera-ready versions of accepted papers will be added to the page to address reviewer comments. Papers should describe original unpublished work or work-in-progress and will be peer-reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be published in the ACL anthology. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word. The links to the templates can be found here: https://drive.google.com/file/d/1osWGzuRnYRQGRS70Lx_pdQKrIT-NefKS/view https://www.overleaf.com/latex/templates/instructions-for-nodalida-baltic-h… The submission will be through EasyChair: https://easychair.org/conferences/?conf=aaas2025 We also invite submissions of maximum 2-page long extended non-anonymous abstracts with any number of pages for references describing work in progress, negative results and opinion pieces. The abstracts, which should follow the same formatting templates as the peer-reviewed papers, will be considered for presentation by the workshop organisers and the accepted ones will be posted on the workshop website. The abstracts can be based on results related to our theme and already published elsewhere. The abstracts will not be published in the proceedings, but only in the workshop program. Please also consider volunteering to review 2-3 papers. == Invited Speakers == We have the pleasure to announce two invited speakers: 1. Nina R. Benway: What is so hard about AI Speech Therapy? Evidence from Efficacy Trials. Nina R Benway, PhD CCC-SLP, is a Postdoctoral Fellow in Electrical and Computer Engineering with Dr. Carol Espy-Wilson. Nina completed her doctoral training in speech-language pathology (concentration: neuroscience) with Dr. Jonathan Preston at Syracuse University, focusing on clinical trials in children with chronic rhotic speech sound disorders. The three studies of her dissertation resulted in the curation of an open-access 175,000-utterance speech corpus, the engineering of audio classification algorithms predicting speech-language pathologist perception of rhotic speech errors, and the clinical trial validation of an artificial intelligence tool that fully automates a speech sound treatment session. Nina’s doctoral training builds upon her undergraduate training in linguistics (acoustic phonetics) at Cornell University, graduate clinical training at The College of Saint Rose, and six years of clinical practice. Through these experiences Nina has refined a multidisciplinary skill set in speech science, speech signal processing, natural language processing, corpus phonetics, machine learning/artificial intelligence (AI), user interface development, cognitive frameworks of learning, and neurocomputational frameworks of speech production. 2. Ari Huhta: Automatic assessment of second/foreign language speaking: Review of developments for examination and teaching/learning purposes. Ari Huhta is a Professor of Language Assessment at the Centre for Applied Language Studies, University of Jyväskylä, Finland. His research interests include diagnostic foreign/second language (L2) assessment, computerised assessment, self-assessment, as well as the development of reading, writing and vocabulary knowledge in L2. He was involved in developing the large-scale multilingual DIALANG online assessment and feedback system in the early 2000s and since then he has specialised in assessments that support language learning. Although his research has focused on learning and assessing reading and writing, he has been involved in designing several rating scales for speaking and in evaluating rating quality and studying rater behavior. Recently, he has participated in research projects that are developing ASR and automated assessment of L2 speaking, as well as using LLMs to evaluate Finnish L2 learners’ proficiency level. == Organizers == Mikko Kurimo (chair), Aalto University, mikko.kurimo(a)aalto.fi Giampiero Salvi, NTNU Sofia Strömbergsson, Karolinska Institutet Sari Ylinen, Tampere University Minna Lehtonen, University of Turku Tamas Grosz, Aalto University Ekaterina Voskoboinik, Aalto University Yaroslav Getman, Aalto University Nhan Phan, Aalto University This workshop is supported by “Technology-enhanced foreign and second-language learning of Nordic languages (TEFLON)” https://teflon.aalto.fi/ NordForsk project nr. 103893. == Contact Information == For questions and comments, please email mikko.kurimo(a)aalto.fi

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