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CfP: 2nd Call for Research, In-use, and Resource Track Papers at ISWC 2025 (Abstract: May 6)
by Genet Asefa Gesese 08 Apr '25

08 Apr '25

24th International Semantic Web Conference (ISWC 2025) Nara, Japan November 2-6, 2025 Follow us: Twitter/X: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/company/iswc/ Mastodon Social: https://mastodon.social/@iswc_conf Bsky: https://bsky.app/profile/iswc-conf.bsky.social ISWC 2025 features multiple tracks - including Research, Resources, and In-Use, among others, Hence, authors are kindly asked to check out the calls of each track to choose the one that best fits their contribution. ========================= Call for Research Track Papers The research track of ISWC 2025 solicits novel and significant research contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web. We welcome work describing original and replicable research showing evidence of significant contribution to the Semantic Web. More details: https://iswc2025.semanticweb.org/#/calls/research Research Track Chairs: Contact: iswc2025-research(a)easychair.org Daniel Garijo, Universidad Politécnica de Madrid, Spain Sabrina Kirrane, Vienna University of Economics and Business, Austria ======================== Call for Resource Track Papers The ISWC 2025 Resources Track aims to promote the sharing of resources that support, enable, or utilize semantic web research. We welcome descriptions of resources that leverage knowledge representation based on Semantic Web standards or other graph data models to improve the acquisition, processing, and sharing of data on the web. More details: https://iswc2025.semanticweb.org/#/calls/resource Resource Track Chairs: Contact: iswc2025-resource(a)easychair.org Cogan Shimizu, Wright State University, US Angelo Salatino, KMi,The Open University, UK ======================= Call for In-use Track Papers The In-Use track seeks submissions describing applied research as well as software tools, systems, or architectures that benefit from the use of Semantic Web and Knowledge Graph technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of the use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web and Knowledge Graph research communities. More details: https://iswc2025.semanticweb.org/#/calls/in-use In-Use Track Chairs: Contact: iswc2025-in-use(a)easychair.org Maribel Acosta Technical University of Munich, Germany Andrea Giovanni Nuzzolese CNR - Institute of Cognitive Sciences and Technologies, Italy =========================================== Important Dates: Abstract submission due May 6th, 2025 Full paper submission due May 13th, 2025 Rebuttal June 17th - 20th, 2025 Notifications July 17th, 2025 Camera ready papers due July 31st, 2025 Website: https://iswc2025.semanticweb.org/ Would you like to know about the host city, Nara? Check out this blog: https://iswc2025.semanticweb.org/#/blogs/host -- *Dr.-Ing. **Genet Asefa Gesese* Head of Machine Learning Department (Abteilungsleitung Maschinelles Lernen) FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, Germany ( *https://www.fiz-karlsruhe.de/en/bereiche/lebenslauf-und-publikationen-dr-ing-genet-asefa-gesese <https://www.fiz-karlsruhe.de/en/bereiche/lebenslauf-und-publikationen-dr-in…>* ) AND Karlsruhe Institute of Technology (KIT) *( https://ise.aifb.kit.edu/21_89.php <https://ise.aifb.kit.edu/21_89.php> )*

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First Call for Participation: LLMs with Limited Resources WMT2025 Shared Task
by Daryna Dementieva 08 Apr '25

08 Apr '25

LLMs with Limited Resources for Slavic Languages @ WMT2025 @ EMNLP2025 Website: https://www2.statmt.org/wmt25/limited-resources-slavic-llm.html Join our Google Group! https://groups.google.com/g/slavic-llms-mt2025 HuggingFace Collection: https://huggingface.co/collections/tum-nlp/llms-for-slavic-languages-67f399… This shared task explores how LLMs perform on MT and QA jointly, aiming to investigate task synergy under limited data and compute resources. Ukrainian (uk) is a mid-resource language (~40M L1 speakers), while Upper Sorbian (hsb) and Lower Sorbian (dsb) are minority West Slavic languages (30k and 7k L1 speakers, respectively) spoken in Germany. Data Overview Ukrainian - MT directions: en→uk, cs→uk - QA: Derived from high-school graduation exams (ZNO) - Training sets examples: - MT: WMT24++ <https://huggingface.co/datasets/google/wmt24pp>, SMOL <https://huggingface.co/datasets/google/smol> - QA: UNLP2024 <https://huggingface.co/datasets/osyvokon/zno>, ZNO-EVAL <https://github.com/NLPForUA/ZNO>, Cohere INCLUDE <https://huggingface.co/datasets/CohereForAI/include-base-44> Upper Sorbian & Lower Sorbian (two separate tracks) - MT directions: de→hsb, de→dsb - QA: Multiple-choice questions based on actual CEFR-based language certification exams (A1–C1 levels) - We will prepare the following resources: - Parallel & monolingual corpora via Witaj-Sprachzentrum and Leipzig Corpora Collection; - Previous WMT low-resource tracks (2020–2022); - QA task adapted from language certifications of different levels. Submission Guidelines - Models must produce both MT & QA outputs for the chosen language(s); - Submissions are language-specific; submit to one or multiple language tracks; - Participants can only use one of the following base models that are restricted to 3B parameters maximum: - Qwen2.5-3B-Instruct <https://huggingface.co/Qwen/Qwen2.5-3B-Instruct> - Qwen2.5-1.5B <https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct> - Qwen2.5-0.5B <https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct> - Quantized or Unsloth variants from HuggingFace collections Key Dates (AoE) - Registration opens now!: Join our Google group https://groups.google.com/g/slavic-llms-mt2025 - Training/dev data release: Late April - Test data release: Late June - Submission deadline: Early July - System description deadline: Late July - Final workshop: 5-9th November @ EMNLP 2025 in Suzhou, China! Organisers TUM Heilbronn: Daryna Dementieva Marion di Marco Lukas Edman Alexander Fraser Kathy Hämmerl Shu Okabe Witaj-Sprachzentrum: Beate Brězan, Anita Hendrichowa Marko Měškank Tomaš Šołta Acknowledgements We thank the UNLP 2024 Shared Task team (Roman Kyslyi, Mariana Romanyshyn, Oleksiy Syvokon) for kindly sharing Ukrainian QA resources. Best regards, Daryna Dementieva On behalf of TUM Heilbronn Workshop Organizers

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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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2025

2024

2023

2022