October 2024 - Corpora

New Paper Submission Deadline: October 14, 2024
by Itziar Gonzalez Dios 08 Oct '24

08 Oct '24

[ Apologies for crossposting ] *Global WordNet Conference 2025 - GWC2025* The Global Wordnet Association is delighted to announce the *13th International Global Wordnet Conference* (GWC2025), to be held in *Pavia (Italy) from 27 to 31 January, 2025*. The GWC2025 conference will be hosted by the Department of Humanities, at the University of Pavia. 📍*Dates*: 27-Jan-2025 - 31-Jan-2025 *Location*: Pavia, Italy *Meeting Email*: gwc2025pavia(a)unipv.it *Web Site*: https://unipv-larl.github.io/GWC2025/ 🗓️ *New Paper Submission Deadline: October 14, 2024* We invite submissions of original research contributions addressing, though not limited to, the topics listed below. *Presentations of new WordNets *will be assigned to a dedicated panel. Additionally, proposals for tutorials and demonstrations or panel discussions on *WordNet for ancient languages* are encouraged. Conference topics: - Lexical semantics and meaning representation; - Architecture of lexical databases; - Tools and methods for WordNet development; - Applications of WordNet; - Standardization, distribution and availability of WordNet and WordNet tools See the full call for papers here: https://easychair.org/cfp/gwc2025

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UMR Summer School in Boston 2025 - First Call
by kristine.stenzel＠colorado.edu 07 Oct '24

07 Oct '24

UMRs in Boston Summer School – 1st Call for Applications June 9-13, 2025 Brandeis University, Massachusetts, USA We invite applications for a five-day summer school on Uniform Meaning Representations (UMR). Impressive progress has been made in many aspects of natural language processing (NLP) in recent years. Most notably, the achievements of transformer-based large language models such as ChatGPT would seem to obviate the need for any type of semantic representation beyond what can be encoded as contextualized word embeddings of surface text. Advances have been particularly notable in areas where large training data sets exist, and it is advantageous to build an end-to-end training architecture without resorting to intermediate representations. For any truly interactive NLP applications, however, a more complete understanding of the information conveyed by each sentence is needed to advance the state of the art. Here, "understanding'' entails the use of some form of meaning representation. NLP techniques that can accurately capture the required elements of the meaning of each utterance in a formal representation are critical to making progress in these areas and have long been a central goal of the field. As with end-to-end NLP applications, the dominant approach for deriving meaning representations from raw textual data is through the use of machine learning and appropriate training data. This allows the development of systems that can assign appropriate meaning representations to previously unseen text. In this five-day course, instructors from the University of Colorado and Brandeis University will describe the framework of Uniform Meaning Representations (UMRs), a recent cross-lingual, multi-sentence incarnation of Abstract Meaning Representations (AMRs), that addresses these issues and comprises such a transformative representation. Incorporating Named Entity tagging, discourse relations, intra-sentential coreference, negation and modality, and the popular PropBank-style predicate argument structures with semantic role labels into a single directed acyclic graph structure, UMR builds on AMR and keeps the essential characteristics of AMR while making it cross-lingual and extending it to be a document-level representation. It also adds aspect, multi-sentence coreference and temporal relations, and scope. Each day will include lectures and hands-on practice. Topics to be covered may include the following, among others: 1. The basic structural representation of UMR and its application to multiple languages; 2. How UMR encodes different types of MWE (multi-word expressions), discourse and temporal relations, and TAM (tense-aspect-modality) information in multiple languages, and differences between AMR and UMR; 3. Going from IGT (interlinear glossed text) to UMR graphs semi-automatically; 4. Formal semantic interpretation of UMR incorporating a continuation-based semantics for scope phenomena involving modality, negation, and quantification; 5. Extension to UMR for encoding gesture in multimodal dialogue, Gesture AMR (GAMR), which aligns with speech-based UMR to account for situated grounding in dialogue. 6. UMR parsing and applications To apply, please complete this form by Nov. 15, 2024. https://www.colorado.edu/linguistics/umrs-boston-summer-school-application Other important dates: ● Notification of acceptance: Dec. 15, 2024 ● Confirmation of participation: Jan. 31, 2025 Participation will be fully funded (reasonable airfare, lodging, and meals). This summer school has been made possible by funding from NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), with additional support from Brandeis University.

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Tenure-Track Hiring in Human-Centered & Responsible AI @ UT Austin
by Matt Lease 07 Oct '24

07 Oct '24

The School of Information (iSchool) at The University of Texas at Austin (UT Austin) seeks to hire up to two tenure-track faculty in Building Human-Centered, Ethical, and Responsible AI Systems <https://apply.interfolio.com/156609>, with positions starting in Fall 2025. Application review and scheduling of initial zoom interviews will begin on November 1, 2024. The last day to apply is December 1, 2024. Questions about this faculty search should be directed to facultysearch(a)ischool.utexas.edu. Please see the job link above for full details, but below is an extract from it regarding the topic of the search. *Building AI Systems* We seek candidates who investigate human-centered artificial intelligence (AI) systems through designing, building, and technically evaluating such systems. Our call is intended to be broadly inclusive of the range of AI subdisciplines and areas such as (but not limited to): machine learning (ML), natural language processing (NLP), computer vision (CV), and generative AI and large language models (LLMs), etc. Candidates should develop AI systems in their research that advance support for human work or activities, e.g., by augmenting and amplifying the capabilities of individuals or groups of people. *Research directions in this area may include (but are not limited to)*: - Innovative methods and applications that integrate AI with human computation - Complementary human-AI teaming and supportive workflow design - Human-in-the-loop decision-making and decision-support - AI-assisted data annotation - Accelerating and improving human-centered AI evaluation protocols - Imagining other novel forms of human-AI partnerships *Potential outcomes of such research may include (but are not limited to)*: - Advancing fundamental understanding of the nature and range of human-AI partnerships, as well as how best to design, build, and evaluate them - Investigating potential productivity benefits, such as the speed, scale, quality, and/or economics of human labor with vs. without AI-augmentation - Advancing ethical and responsible design for system users, AI supply-chain workers, and/or society at-large around issues such as: trustworthiness and reliability; transparency and interpretability; fairness and social justice (for both AI users and workers); and accountability and algorithmic recourse - Protecting private and sensitive data; the information environment and information integrity; human safety, health, and wellbeing; and the environment, via sustainable, green computing We look forward to your application! -- *MATT LEASE (he/him) * Professor | School of Information Co-Director | NSF-Simons AI Institute for Cosmic Origins <https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-…> Leadership Team | UT Good Systems <http://goodsystems.utexas.edu/> (Responsible AI Initiative) Principal Investigator | Protecting Information Integrity <https://goodsystems.utexas.edu/information-integrity> *The University of Texas at Austin* p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA <https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/> 5.536 mattlease.com | X @mattlease <https://x.com/mattlease>

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Call for Papers: Corpus Linguistics 2025
by Robbie Love 07 Oct '24

07 Oct '24

Dear colleagues We are pleased to announce that the International Corpus Linguistics Conference 2025 (CL2025) - co-organised by Aston University, Birmingham City University, and the University of Birmingham - will take place from Tuesday 1st - Friday 4th July 2025 at Aston University<https://www.aston.ac.uk/>, preceded by a workshop day on Monday 30th June. The call for papers is now live on the CL2025 conference website: https://www.cl2025.co.uk/call-for-papers CL2025 welcomes submissions for paper presentations, poster presentations, thematic panels, and pre-conference workshops that engage in some way with the tools, methods, and techniques of corpus linguistics. KEY DATES * Submission deadline: 17th January 2025 * Notification of acceptance: 28th February 2025 * Early bird registration deadline: 2nd May 2025 * Conference dates: 1st - 4th July 2025 PLENARY SPEAKERS * Laurence Anthony (Waseda University, Japan) * Gavin Brookes (Lancaster University, UK) * Elizabeth Hanks (Northern Arizona University, USA) * Pascual Pérez-Paredes (University of Murcia, Spain) * Anna Marchi (University of Bologna, Italy) & Charlotte Taylor (University of Sussex, UK) For further information, please visit the conference website at www.cl2025.co.uk<http://www.cl2025.co.uk> or write to the CL2025 organising committee at corpuslinguistics2025(a)gmail.com<mailto:corpuslinguistics2025@gmail.com>. Best wishes Robbie Love On behalf of the CL2025 Organising Committee: Matt Gee (Birmingham City University), Andrew Kehoe (Birmingham City University), Joyce Lim (Aston University), Robbie Love (Aston University), Mark McGlashan (University of Liverpool), Akira Murakami (University of Birmingham), Paul Thompson (University of Birmingham) Dr Robbie Love (he/him) BA (Hons), ma, phd, cdls, fhea Senior Lecturer in English Language and Linguistics Programme Development Lead Department of English, Languages and Applied Linguistics School of Law and Social Sciences Aston University, Birmingham, UK [Aston University] Newsletter Editor, British Association for Applied Linguistics (BAAL)<https://www.baal.org.uk/> Communications Officer, BAAL Corpus Linguistics Special Interest Group<https://baal-clsig.weebly.com/> Organising Committee, Corpus Linguistics Conference 2025<https://www.cl2025.co.uk/> Research profile: research.aston.ac.uk/en/persons/robbie-love<https://research.aston.ac.uk/en/persons/robbie-love> Website: robbielove.org/<https://robbielove.org/>

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Job offer: Position as Administrative Employee - Application deadline: 15.10.2024
by Giuseppe Abrami 07 Oct '24

07 Oct '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, *one permanent position* for a *Administrative Employee (m/f/d) (E 8 TV-G-U, 50% part-time)* is available *at the next possible date*. The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The duties of this secretarial position include in particular the organization and support of the professorship and its staff in all administrative tasks. These result from their teaching, research and self-administration activities. This includes in particular: * Communication between students, the professorship and the administration, scheduling and room management, support for (teaching) events, processing and control of order and payment transactions as well as administration of personal, material and financial data. * Planning and administration of budget and third-party funds for the professorship. * Administrative organization and support of events (e.g. guest lectures, colloquiums, conferences) and business trips. * Communication with external partners from research and industry. * Maintenance of the professorships’ websites and completion of entries in the Goethe University LSF system. Requirements * Completed training in the administrative or commercial field, or comparable knowledge. * Ability to work in a team, to work independently, and interest in new tasks. * Very good communication skills, flexible and reliable customer- and service-oriented work, competent work organization, engaging and confident appearance. * Very good knowledge of Word / Excel / Power Point. * Good written and spoken English skills. If you are interested, please send your application *by 15.10.2024* with the usual documents in a PDF to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de. -- ------------------------------------------------------------------------ Giuseppe Abrami Text-Technology Lab Fakultät für Informatik und Mathematik Goethe-Universität Frankfurt Robert-Mayer-Strasse 10 4. Stock (Texttechnologie) 60325 Frankfurt am Main Postfach: 154 Tel: +49 69-798-28926 Fax: +49 69-798-28931 Mail: abrami(a)em.uni-frankfurt.de Web: http://www.texttechnologylab.org

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Two open positions for: Data science and AI expert on NLP at Barcelona Supercomputing Center, Spain
by Martin Krallinger 07 Oct '24

07 Oct '24

We have two open positions (start ASAP) here at my group at BSC: Data science and AI expert on NLP - Position 1: https://www.bsc.es/join-us/job-opportunities/67024lsnlpre2 <https://lnkd.in/dtBKEN9P> - Position 2: https://www.bsc.es/join-us/job-opportunities/66924lsnlpre2 <https://lnkd.in/dYBDVTqP> *Context And Mission:* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to clinical Language Models, multilingual NLP, benchmarking of language technology solutions and predictive content mining. The candidate will have the opportunity to advance the state of the art of biomedical language models and NLP methods working in a multidisciplinary environment alongside AI experts, computational linguists, clinical experts, and other engineers. *DUTIES*: - Predictive NLP model development: Development of advance content mining predictive solutions including clinical NLP, automatic text classification - Pre-training of medical language models for healthcare application scenarios and tasks. - Technical project coordination: Coordinate technical contributions inside the team and with clinical hospital site project collaborators. - Implementation and deployment of clinical NLP solutions: Collaborate in the implementation and technical deployment of NLP platform prototypes at clinical sites. - Documentation and Reporting: Contribute to technical reports and project documentation *REQUIREMENTS* *Education*: University degree in Computer Science, Computational Linguistic, or engineering discipline. Candidates with a minimum of a master's degree will be considered. *Essential Knowledge and Professional Experience:* - Demonstrated experience in Natural Language Processing technologies - Experience in developing and training models using transformer architectures. - Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers…) - Knowledge of deep learning methods for pre-training large language models using transformer architectures (like BERT, RoBERTA, DeBERTA, GPT, Bloom) as well as learning to implement LLMs. - Advanced programming skills in Python. - Experience in software development resources (Git) ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ =======================================

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CFP NoDaLiDa/Baltic-HLT 2025 workshop on Automatic Assessment of Atypical Speech
by Kurimo Mikko 06 Oct '24

06 Oct '24

Dear all, We’re happy to invite you to participate and submit papers to our new workshop “Automatic Assessment of Atypical Speech (AAAS)” that has been accepted to a full day workshop in March 5, 2025 in Tallinn within the NoDaLiDa/Baltic-HLT conference. The papers can be short (4p + ref) or long (8p + ref) as in the main conference. Submission DL 16 Dec, 2024. Please also consider volunteering to review 2-3 papers. For details visit the workshop page: https://teflon.aalto.fi/aaas-2025/ and the main conference page: https://www.nodalida-bhlt2025.eu/ Best regards, Mikko Kurimo (chair) and the organizing committee

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CFP - VarDial 2025 and NorSID shared task
by Yves Scherrer 04 Oct '24

04 Oct '24

Co-located with COLING 2025, VarDial deals with computational methods and language resources for closely related languages, language varieties, and dialects. VarDial will be held on Sunday, January 19th, 2025. https://sites.google.com/view/vardial-2025/home 1. Call for Shared Task Participation As part of VarDial 2025, we are organizing a shared task on dialect identification and slot and intent detection for Norwegian varieties (NorSID). For further information and instructions for participants, please visit the shared task page: https://sites.google.com/view/vardial-2025/shared-tasks Important dates: - Training and development set release: October 7, 2024 - Test set release: November 4, 2024 - Submissions due: November 15, 2024 - Paper submission deadline: November 25, 2024 - Notification of acceptance: December 5, 2024 - Camera-ready papers due: December 13, 2024 2. Call for Workshop Papers We welcome papers dealing with one or more of the following topics: - Corpora, resources, and tools for similar languages, varieties and dialects; - Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects; - Evaluation of language resources and tools when applied to language varieties; - Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.); - Corpus-driven studies in dialectology and language variation; - Computational approaches to mutual intelligibility between dialects and similar languages; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends); - Machine translation between closely related languages, language varieties and dialects. In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Important dates: - Paper submission deadline: Tuesday, November 5th, 2024 - Notification of acceptance: Monday, November 25th, 2024 - Commitment deadline for pre-reviewed papers: TBD - Camera-ready papers due: Friday, December 13th, 2024 Detailed submission guidelines available on the COLING 2025 website. All submissions must use the official COLING templates. Contributions must be submitted to Softconf: https://softconf.com/coling2025/VarDial25/ Further information about submission is available on the workshop site: https://sites.google.com/view/vardial-2025/call-for-papers Organizers Yves Scherrer - University of Oslo (Norway) Tommi Jauhiainen - University of Helsinki (Finland) Nikola Ljubešić - Jožef Stefan Institute (Slovenia) and University of Ljubljana (Slovenia) Preslav Nakov - Mohamed bin Zayed University of Artificial Intelligence (UAE) Jörg Tiedemann - University of Helsinki (Finland) Marcos Zampieri - George Mason University (USA)

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PhD job offer: Language technology for cultural heritage (1.0 FTE; deadline 14 October)
by a.w.van.cranenburgh＠rug.nl 04 Oct '24

04 Oct '24

The Computational Linguistics group (GroNLP) of the Center for Language and Cognition Groningen (CLCG) is looking for a PhD student in “Language technology for cultural heritage: New discoveries with little data” within the HAICu research project. The HAICu project is a large-scale Dutch research project by universities and cultural-heritage institutions into new forms of Artificial Intelligence-based access to multimodal Cultural-Heritage data, both contemporary and historical. Within HAICu, AI researchers, Digital Humanities researchers and a wide range of public and private partners will co-develop scientific solutions to unlock the true societal potential of the current heterogeneous digital heritage collections. It will provide easier, richer and more reliable data access to citizens, journalists, civic organisations, and various other stakeholders. HAICu is funded by the NWO National Science Agenda (NWA) and has a budget of about EUR 10 million. HAICu has started in January 2024 and will last 6 years (until Jan 2030). For more information about HAICu, please see https://www.haicu.science/ The PhD Project This specific PhD position is about effectively dealing with missing and sparse labels in humanities datasets such as literature, history, philosophy. Cultural heritage institutions, and especially the National Library of the Netherlands, offer access to a lot of digitized data which can be leveraged through computational approaches. However, it is very common that the data is incomplete. This is a challenge for typical machine learning methods that rely on being fed with representative and complete data, leading to systems that cannot handle distribution shifts or extrapolating beyond their training set. Recent developments in artificial intelligence have shown that large language models are able to learn from small amounts of training data, or even none at all (few shot and zero shot learning). Paired with more and more accessible techniques for specializing existing models for target domains and tasks, a lot of new possibilities open up for cultural heritage data, which will be explored within this project. Examples of possible topics include - Investigating literary reception and prestige over time. - Detecting and mapping intertextuality within texts. - Uncovering the influences and biases over time in datasets. - Monitoring the evolution of concepts in textual datasets. - Improving the robustness of models to out-of-distribution data. The project will, in collaboration with the National Library of The Netherlands, be coordinated by Andreas van Cranenburgh, Tommaso Caselli, and Malvina Nissim at the University of Groningen. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP) and the humanities. You will be asked to - Develop a specific research proposal within the proposed theme. - Review the academic literature relevant to the project’s goals. - Carry out research, present your results and author scientific articles on the above mentioned topics. - Collaborate with members of the Computational Linguistics group at the University of Groningen, the National Library, and with the broader Haicu consortium. - Engage and collaborate with other researchers working on computational humanities research. - Complete a PhD thesis written in English in the specified timeframe (4 years). - Collaborate on outreach and public engagement activities. - Gain teaching experience. This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience: You will be carrying out research in the context of the Computational Linguistics group of the Center for Language and Cognition (CLCG) of the University of Groningen, and will be spending at least one day a month at the National Library in The Hague. For more information, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…

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CFP - SemEval 2025 Task 8: Question Answering on Tabular Data
by Eugenio Martínez Camara 04 Oct '24

04 Oct '24

[apologies if you receive multiple copies of this call] CALL FOR PARTICIPATION - SemEval 2025 Task 8: Question Answering on Tabular Data We are pleased to announce the first SemEval task on Question Answering on Tabular Data. Our SemEval 2025 task consists of Question Answering over Tabular Data making use of the DataBench benchmark. DataBench is a benchmark composed of real-world table datasets from different domains and with large size of rows and columns, as well as a wide variety of data types that allow to assess distinct sort of questions related to each data type. We propose a task to encourage participants to develop a system that answers the questions of the kind present in DataBench over day-to-day datasets, where the answer is either a number, a categorical value, a boolean value or lists of several types. DataBench can be used as a training and validation set, while we will release another test set explicitly compiled for the task competition. The system developed by the participants will be provided by a series of (dataset, question) pairs and will need to provide an answer which would then be compared with a gold standard. The answer might be achieved through a variety of methods. In our paper we illustrate two different approaches: In-Context Learning and Code Generation. You may use any of these or come up with your own approach. There will be two subtasks: Subtask I : DataBench QA Participants will be provided with a dataset (of any size) and a question over it. The question should be answered using the data from the dataset only. Subtask II: DataBench Lite QA The task is essentially the same as the previous subtask, but involves using the sampled version of each dataset with a maximum of 20 rows per dataset (see explanation on DataBench Lite). The question should be answered using the data from the sampled dataset only. For the test set, we will similarly provide a reduced version of each dataset for this subtask. This task is especially relevant when testing for models with a smaller window size. Important Dates Official Competition start 10 January 2025 Competition end 31 January 2025 Task Organizers Jorge Osés Grijalba - Graphext L. Alfonso Ureña-López and Eugenio Martínez Cámara - University of Jaén Jose Camacho-Collados - Cardiff University Competition website: https://jorses.github.io/semeval/ Codabench: https://www.codabench.org/competitions/3360/ Google Group: https://groups.google.com/g/semeval-25-t8-tabularqa -- Suelo trabajar a deshoras por lo que este correo puede haberte llegado fuera de tu horario laboral, y al cual puedes responder en el momento que mejor se ajuste a tus hábitos de trabajo. | I sometimes work at irregular times and this email might arrive out of working hours so please be assured that I respect your working pattern and look forward to your response when it suits you. ------- Eugenio Martínez Cámara. Vicepresidente de la SEPLN <http://www.sepln.org/> | Vice President of the SEPLN <http://www.sepln.org/en>. Investigador en Proc. del Lenguaje Natural | Postdoctoral Researcher in Natural Language Proc. Grupo de Investigación SINAI <http://sinai.ujaen.es/> | SINAI <http://sinai.ujaen.es/> Research Group. Profesor Titular | Associate Professor. Dpto. de Informática | Computer Science Department. Universidad de Jaén.

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2024

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Corpora October 2024