- Corpora - ELRA lists

CfP: Workshop on Context and Meaning—Navigating Disagreements in NLP Annotations
by Michael Roth 12 Nov '24

12 Nov '24

******************************************************************************** CoMeDiNLP: Context and Meaning--Navigating Disagreements in NLP Annotations https://unimplicit.github.io/ Workshop held in conjunction with COLING 2025 January 19/20, 2025 ******************************************************************************** Disagreements among annotators pose a significant challenge in Natural Language Processing, impacting the quality and reliability of datasets and consequently the performance of NLP models. This workshop aims to explore the complexities of annotation disagreements, their causes, and strategies towards their effective resolution, with a focus on meaning in context. The quality and reliability of annotated data is crucial for the development of robust NLP models. However, managing disagreements among annotators poses significant challenges to researchers and practitioners. Such disagreements can stem from various factors, including subjective interpretations, cultural biases and ambiguous guidelines. Early research has highlighted the impact of annotator disagreements on data quality and model performance (e.g. Artstein and Poesio, 2008; Pustejovsky and Stubbs, 2012; Plank et al., 2014). More recent work on perspectivism in NLP, such as that by Basile et al. (2021), highlights the importance of embracing multiple perspectives in annotation tasks to better capture the diversity of human language. This approach argues for the inclusion of various viewpoints to improve the robustness and fairness of NLP models. On the modeling side, various methods for dealing with annotation disagreements have been proposed. For example, Hovy et al. (2013) and Passonneau and Carpenter (2014) identify and weigh annotator reliability to better aggregate contributions, whereas recent approaches following the perspectivism approach leverage inherent disagreements in subjective tasks to train models handling diverse opinions (Davani et al., 2022; Deng et al., 2023). == Call for Submissions == We invite both long (8 pages) and short (4 page) papers. The limits refer to the content and any number of additional pages for references are allowed. The papers should follow the COLING 2025 formatting instructions. Each submission must be anonymized, written in English, and contain a title and abstract. We especially welcome papers that address the following themes, for a single type of disagreement or annotation disagreements in general: - New benchmarks for detecting or categorizing disagreements - Models and modeling strategies for variations in annotation - Evaluation schemes and metrics for phenomena without a single ground truth - Phenomena that are not yet within reach with current NLP technology. To encourage discussion and community building and to bootstrap potential collaborations, we elicit, in addition to shared task papers and regular "archival" track papers, also non-archival submissions. These can take 2 forms: - Works in progress, that are not yet mature enough for a full submission, can be submitted in the form of a title and abstract. Abstracts may be up to two pages in length. - Already published work, or work currently under submission elsewhere, can be submitted in the form of an abstract and a copy of the submission/publication. These works will be reviewed for topical fit and accepted submissions will be presented as posters. Depending on the final workshop program, selected works may be presented in panels. We plan for these to be an opportunity for researchers to present and discuss their work with the relevant community. Please submit your papers here: https://softconf.com/coling2025/CM-ND-NLP25/ == Important Dates == November 18, 2024: Due date for workshop and shared task papers [1] December 1-3, 2024: Author response period December 5, 2024: Notification of acceptance December 13, 2024: Camera-ready submission deadline January 19/20, 2025: Workshop date All deadlines are 11:59pm UTC-12 ("anywhere on Earth"). [1] If you plan to submit a paper but require a deadline extension, please send us an email to michael.roth(a)utn.de and dominik.schlechtweg(a)ims.uni-stuttgart.de == Organizers == Michael Roth, University of Technology Nuremberg Dominik Schlechtweg, University of Stuttgart == Program Committee == David Alfter, University of Gothenburg Valerio Basile, University of Turin Felipe Bravo, University of Chile Jing Chen, Hong Kong Polytechnic University Naihao Deng, University of Michigan Aida Mostafazadeh Davani, Google Research Diego Frassinelli, University of Konstanz / LMU Munich Haim Dubossarsky, Queen Mary University Simon Hengchen, iguanodon.ai & Université de Genève Sandra Kübler, Indiana University Andrei Kutuzov, University of Oslo Elisa Leonardelli, Fondazione Bruno Kessler Marie-Catherine de Marneffe, UCLouvain Maja Pavlovic, Queen Mary University Siyao Peng, LMU Munich Pauline Sander, University of Stuttgart Pia Sommerauer, Vrije Universiteit Amsterdam Nina Tahmasebi, University of Gothenburg Alexandra Uma Frank D. Zamora-Reina, University of Chile Wei Zhao, University of Aberdeen --- Prof. Michael Roth [he/him] Natural Language Understanding Lab University of Technology Nuremberg Technische Universität Nürnberg

1 0

1st CFP: Second Workshop on Patient-Oriented Language Processing (CL4Health) @ NAACL 2025
by Paul Thompson 12 Nov '24

12 Nov '24

Second Workshop on Patient-Oriented Language Processing (CL4Health) @ NAACL 2025 https://bionlp.nlm.nih.gov/cl4health2025/ Albuquerque, New Mexico, USA SCOPE CL4Health fills the gap among the different biomedical language processing workshops by providing a general venue for a broad spectrum of patient-oriented language processing research. The second workshop on patient-oriented language processing follows the successful inaugural CL4Health workshop (co-located with LREC-COLING 2024), which clearly demonstrated the need for a computational linguistics venue that focuses on language related to health of the public. CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions. The workshop invites papers concerning all areas of language processing focused on patients' health and health-related issues concerning the public. The issues include, but are not limited to accessibility and trustworthiness of health information provided to the public; explainable and evidence-supported answers to consumer-health questions; accurate summarization of patients' health records at their health-literacy level; understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research. The topics of interest for the workshop include but are not limited to the following: * Health-related information needs and online behaviors of the public; * Quality assurance and ethics considerations in language technologies and approaches applied to text and other modalities for public consumption; * Summarization of data from electronic health records for patients; * Detection of misinformation in consumer health-related resources and mitigation of potential harms; * Consumer health question answering (Community Question Answering)(CQA); * Biomedical text simplification/adaptation; * Dialogue systems to support patients' interactions with clinicians, healthcare systems, and online resources; * Linguistic resources, data and tools for language technologies focusing on consumer health; * Infrastructures and pre-trained language models for consumer health; SHARED TASK Perspective-aware Healthcare Answer Summarization (PerAnsSumm) will be co-located with the workshop. In community / consumer health question answering, several aspects, such as question understanding and answer generation, have been studied for over a decade. A new and important question posed by this task is the different perspectives provided in the answers to questions posted to online forums. The responses to the questions offer different answer perspectives, e.g., personal experiences, factual information, and suggestions. Traditionally, the CQA answer summarization task has focused on a single best-voted answer as a reference summary. A single answer does not capture all the perspectives. Moreover, a structured presentation of the information in the form of perspective-specific summaries may be more useful for the end-users. To address these gaps, this challenge introduces a novel perspective-specific answer summarization task within a CQA setup. The task will use the Perspective-aware healthcare Answer SuMmarizAtion (PUMA) dataset, a corpus of medical question-answer pairs created by the task organizers. The PUMA dataset consists of 3,167 CQA threads with approximately 10K answers filtered from the Yahoo! L6 corpus. Each answer in PUMA is annotated with five perspective spans: ‘cause’, ‘suggestion’, ‘experience’, ‘question’, and ‘information’. IMPORTANT DATES (Tentative) January 30, 2025 -Workshop Paper Due Date️: March 1, 2025 - Notification of acceptance: March 10, 2025 - Camera-ready papers due: April 8, 2025 - Pre-recorded video due (hard deadline): May 3 OR 4, 2025 - Workshop SUBMISSIONS Two types of submissions are invited: - Full papers: should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research. - Short papers: may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions need to be anonymous. The submission site will be announced shortly. Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. MEETING The workshop will be hybrid. Virtual attendees must be registered for the workshop to access the online environment. Accepted papers will be presented as posters or oral presentations based on the reviewers’ recommendations. ORGANIZERS - Dina Demner-Fushman, US National Library of Medicine - Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK - Paul Thompson, National Centre for Text Mining and University of Manchester, UK - Deepak Gupta, US National Library of Medicine -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

1 0

Edge Hill Corpus Research Group: Meeting #13
by Costas Gabrielatos 12 Nov '24

12 Nov '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Friday 15 November 2024, 2-4 pm (GMT) Topic: Discourse-Oriented Corpus Studies 2-3 pm Katia Adimora (Edge Hill University) Mexican immigration/immigrants in American and Mexican newspapers 3-4 pm Dan Malone (Edge Hill University) When is the extreme also typical? Using prototypicality to investigate representations of the lone-wolf terrorist Attendance is free. The abstracts and registration link are here: https://sites.edgehill.ac.uk/crg/next Registration closes tomorrow (Wednesday 13 November) at 11 am (GMT). If you have problems registering, or have any questions, please contact me: gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk> ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

1 0

Postdoc position at Cardiff University
by Steven Schockaert 11 Nov '24

11 Nov '24

Location: Cardiff, UK Deadline for applications: 25th November Start date: available immediately End date: 30th April 2027 Keywords: natural language processing, neuro-symbolic AI, graph neural networks, commonsense reasoning Details about the post Applications are invited for a Postdoctoral Research Associate in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing neuro-symbolic reasoning strategies to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available at https://www.jobs.ac.uk/job/DKK088/research-associate

1 0

Neurocognition, Language and Visual Processing (NLVP) talk series, Dec 2024 & Jan 2025 (Zoom and University of Exeter)
by h.dong2＠exeter.ac.uk 11 Nov '24

11 Nov '24

We are happy to announce the next online seminar in the Neurocognition, Language and Visual Processing (NLVP) series organized by the NLVP group and IDSAI at the University of Exeter. You can check the slides, videos of previous talks and the schedule for upcoming talks here: https://sites.google.com/view/neurocognit-lang-viz-group/seminars Zoom meeting link: https://Universityofexeter.zoom.us/j/93707609239?pwd=ErfOgIy30fwkAH7V5iFFVg… (Meeting ID: 937 0760 9239 Password: 259613) ***Seminar 1: Thursday, 12 Dec 2024, 16:00 to 17:00, BST*** Speaker: Dr Vered Shwartz (University of British Columbia) Title: Navigating Cultural Adaptation of LLMs: Knowledge, Context, and Consistency Abstract: Despite their amazing success, large language models and vision and language models suffer from several limitations. This talk focuses on one of these limitations: the models’ narrow Western, North American, or even US-centric lens, as a result of training on web text and images primarily from US-based users. As a result, users from diverse cultures that are interacting with these tools may feel misunderstood and experience them as less useful. Worse still, when such models are used in applications that make decisions about people’s lives, lack of cultural awareness may lead to models perpetuating stereotypes and reinforcing societal inequalities. In this talk, I will present a line of work from our lab aimed at quantifying and mitigating this bias. Speaker's short bio: Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia, and a CIFAR AI Chair at the Vector Institute. Her research interests include commonsense reasoning, computational semantics and pragmatics, multimodal models, and cultural considerations in NLP. Previously, Vered was a postdoctoral researcher at the Allen Institute for AI (AI2) and the University of Washington, and received her PhD in Computer Science from Bar-Ilan University. ***Seminar 2: Thursday, 16 Jan 2025, 15:00 to 16:00, BST*** Speaker: Prof Roberto Navigli (Sapienza University of Rome) Title: What's Behind Text? The Long, Challenging Path Towards a Unified Language-Independent Representation of Meaning Abstract: In the era of Large Language Models (LLMs), the pursuit of a unified, language-independent representation of meaning remains both essential and complex. This talk revisits the rationale for advancing semantic understanding beyond the capabilities of LLMs and highlights the development of a large-scale multilingual inter-task resource like MOSAICo and the design of innovative methods that bridge word- and sentence-level meanings across languages. I will also explore how building a robust, multilingual framework for interpreting meaning with greater precision and depth enhances the quality and reliability of system outputs, including text generated by LLMs. Speaker's short bio: Roberto Navigli is Professor of Natural Language Processing at the Sapienza University of Rome, where he leads the Sapienza NLP Group. He has received two ERC grants on lexical and sentence-level multilingual semantics, highlighted among the 15 projects through which the ERC transformed science. He received several prizes, including two Artificial Intelligence Journal prominent paper awards and several outstanding/best paper awards from ACL. He is the co-founder of Babelscape, a successful deep-tech company which enables NLU in dozens of languages. He served as Associate Editor of the Artificial Intelligence Journal (2013-2020) and Program Co-Chair of ACL-IJCNLP 2021. He is a Fellow of ACL, ELLIS and EurAI and currently serves as General Chair of ACL 2025. Check past and upcoming seminars at the following url: https://sites.google.com/view/neurocognit-lang-viz-group/seminars. If you want to follow future NLVP seminars, you are welcome to join our *Google group*: https://groups.google.com/g/neurocognition-language-and-vision-processing-g… Best wishes, Hang Dong (https://computerscience.exeter.ac.uk/staff/hd524) on behalf of the NLVP group (https://sites.google.com/view/neurocognit-lang-viz-group/members)

1 0

New discourse parsing framework - eRST
by Amir.Zeldes＠georgetown.edu 11 Nov '24

11 Nov '24

*Apologies for cross-postings* � eRST – enhanced Rhetorical Structure Theory � We are delighted to introduce a new parsing framework and datasets for discourse relation recognition: eRST is an ehanced version of Rhetorical Structure Theory which allows multiple, concurrent and non-projective discourse relations in a formally constrained graph, aligned to a large inventory of discourse relation signals, based on the Signaling Corpus taxonomy. Signals are divided into 9 classes and 45 sub-classes, including traditional discourse markers such as PDTB-style connectives, but also lexical, syntactic and semantic signals, such as repetition, lexical chains and anaphoric relations. � eRST is described in depth in this paper: � Zeldes, Amir, Aoyama, Tatsuya, Liu, Yang Janet, Peng, Siyao, Das, Debopam and Gessler, Luke (2024) "eRST: A Signaled Graph Theory of Discourse Relations and Organization". Computational Linguistics, 1–47. https://direct.mit.edu/coli/article/doi/10.1162/coli_a_00538/124464/eRST-A-… � You can also find an overview at the following website, as well as analyses for nearly 250K words of English in 24 spoken and written text types, from the freely available UD English GUM and GENTLE corpora: � https://gucorpling.org/erst/ � If you want to learn more and are participating in EMNLP in Miami this week, please check out our talk on Wednesday! And if you are interested in shallow discourse parsing, please check out our paper on Tuesday and the aligned PDTB3-style relations for the same data in this paper: https://aclanthology.org/2024.emnlp-main.684/ �

1 0

Digital lexicography and lexical computing workshop, Bari, Italy
by Ondřej Matuška 11 Nov '24

11 Nov '24

*<Lexicom/>* a workshop in digital lexicography and lexical computing *Registration open* *Bari, Italy*15 – 19 September 2025 Your 5 days to get up-to-date with the latest developments in *corpus-driven lexicography* and to practice your *corpus building and corpus query skills* with some of the top experts in the field. For the programme, lecturers, invited speakers, fees and registration, visit this website *lexicom.courses <https://lexicom.courses/upcoming-lexicom/>* I hope to meet you in Bari in September! Ondřej *Ondřej Matuška* sketchengine.eu <http://www.sketchengine.eu/> | Facebook <https://www.facebook.com/SketchEngine/> | LinkedIn <https://www.linkedin.com/in/ondrejmatuska> | Twitter <https://twitter.com/SketchEngine>

1 0

Call for Papers: Special Issue on Neurosymbolic Generative Models
by Kordjamshidi, Parisa 08 Nov '24

08 Nov '24

Apologies for cross-posting. We are pleased to announce a special issue of the Neurosymbolic Artificial Intelligence journal on the topic of "Neurosymbolic Generative Models". The full call for papers is available at: https://neurosymbolic-ai-journal.com/content/call-papers-special-issue-neur… Key dates: Submission deadline: November 15, 2024 Fast track submission deadline: December 15, 2024 Neurosymbolic Artificial Intelligence is an open access journal published by IOS Press. There are no fees for submission, publication or access to published articles. This special issue aims to bring together cutting-edge research on applying neurosymbolic AI techniques to Deep Generative Models (DGMs), such as large language models. We invite contributions on integrating neural and symbolic approaches to improve the performance, interpretability, and robustness of DGMs. Topics of interest include, but are not limited to: Neurosymbolic approaches for learning and reasoning in DGMs Integration of expert knowledge in learning for DGMs Neurosymbolic AI for improving interpretability and explainability of DGMs Applications of neurosymbolic DGMs in various domains We also welcome survey papers and work on related topics like neural program synthesis for DGMs. SUBMISSION GUIDELINES Full papers and surveys are invited. Submissions must be original and not previously published or under consideration elsewhere. Authors can extend previously published conference/workshop papers (see guidelines for details). Submissions should be made through the journal website: https://neurosymbolic-ai-journal.com/ Please indicate in the cover letter that the submission is for the "Special Issue on Neurosymbolic Generative Models". For any questions, please contact the guest editors at: nesy-genai(a)googlegroups.com We look forward to your submissions! ------------------------------------------------ Kordjamshidi, Parisa Associate Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/ Woman, Life, Freedom

1 0

[Andaluz.IA 2024] Call for registration
by Salud María Jiménez Zafra 08 Nov '24

08 Nov '24

(Spanish version below / Versión en español más abajo) ==================================================================== Call for Registration II Andaluz.IA Forum December 20, 2024, Antigua Escuela de Magisterio (Universidad de Jaén) https://sites.google.com/view/andaluzia ==================================================================== From ten Andalusian universities, the Joint Research Center of the European Commission, and several Andalusian researchers currently at other national and international institutions, we are organizing the II Andaluz.IA Forum <https://sites.google.com/view/andaluzia/home>, a meeting whose main objective is to show the potential and give visibility to the academic and research community in Artificial Intelligence in our region. This forum seeks to highlight the work of Andalusian scientists, both those who are currently working in Andalusia, as well as those who have spent part of their training or career in the region, regardless of their current place of work. The first edition of the Andaluz.IA forum <https://sites.google.com/view/andaluzia2023/> was organized at Universidad Pablo Olavide in Seville and this year it will take place at Universidad de Jaén. With this second edition, we want to continue highlighting the great potential for research and academic development in Artificial Intelligence that Andalusia has, in areas such as machine learning, deep learning, robotics and natural language processing. The event will be held in person on December 20, 2024 at the Antigua Escuela de Magisterio (Universidad de Jaén). Interested researchers can participate by presenting their results in oral or poster format, provided that they have been accepted in relevant conferences or journals in the area. In addition, professionals and companies wishing to participate may do so through sponsorship or direct participation by registering on the event's website. STRUCTURE OF THE EVENT The II Andaluz.IA Forum will feature two keynote lectures by two leading researchers, in particular the professor José Camacho-Collados from Cardiff University and the professor Laura Sevilla from University of Edinburgh. You can read more details about the keynotes at: https://sites.google.com/view/andaluzia/program/keynotes. Moreover, it will include two oral sessions and two poster sessions (one with coffee and one with lunch) in which the research results of the accepted participants' papers will be presented. In addition, there will be a panel discussion, a community wrap-up and a more relaxed final session with mantecados and turrón. Likewise, on December 19, the "Fundamentals of Deep Learning" workshop of the NVIDIA Deep Learning Institute training program will be held. More information about the workshop and registration can be found at: https://sites.google.com/view/andaluzia/program/nvidia-workshop. REGISTRATION We stand out that the early registration deadline is November 15, 2024, so we encourage you to take advantage of the fees of the early registration. All participants and attendees must register at https://sites.google.com/view/andaluzia/registration. IMPORTANT DATES ● Deadline for submission of papers: October 15, 2024 (extended October 24, 2024) ● Notification of acceptance: November 4, 2024 ● Deadline for registration at a reduced rate: November 15, 2024 CONTACT INFORMATION maite(a)ujaen.es sjzafra(a)ujaen.es ORGANIZING COMMITTEE https://sites.google.com/view/andaluzia/organisers ==================================================================== Llamada al Registro II Foro Andaluz.IA 20 de diciembre de 2024, Antigua Escuela de Magisterio de la Universidad de Jaén https://sites.google.com/view/andaluzia-es ==================================================================== Desde diez universidades andaluzas, el Joint Research Center de la Comisión Europea y algunos investigadores andaluces actualmente en otras instituciones nacionales e internacionales, estamos organizando el II Foro Andaluz.IA <https://sites.google.com/view/andaluzia/home>, un encuentro que tiene como objetivo principal mostrar el potencial y dar visibilidad a la comunidad académica y de investigación en Inteligencia Artificial de nuestra región. Este foro busca poner en valor el trabajo de los científicos andaluces, tanto los que actualmente desarrollan su labor en Andalucía, como aquellos que han llevado parte de su formación o carrera en la región, independientemente de su lugar de trabajo actual. La primera edición del foro Andaluz.IA <https://sites.google.com/view/andaluzia2023/> se organizó en la Universidad Pablo Olavide de Sevilla y este año tendrá lugar en la Universidad de Jaén. Con esta segunda edición, queremos continuar destacando el gran potencial de investigación y desarrollo académico en Inteligencia Artificial que posee Andalucía, en áreas como el aprendizaje automático, aprendizaje profundo, robótica y procesamiento del lenguaje natural. El evento se llevará a cabo de forma presencial el 20 de diciembre de 2024 en la Antigua Escuela de Magisterio de la Universidad de Jaén. Los investigadores interesados pueden participar presentando sus resultados en formato oral o póster, siempre que hayan sido aceptados en conferencias o revistas relevantes del área. Además, los profesionales y empresas que deseen participar podrán hacerlo a través de patrocinio o mediante participación directa, registrándose en la página web del evento. ESTRUCTURA DEL EVENTO El II Foro Andaluz.IA contará con dos ponencias a cargo de dos destacados investigadores, en concreto el profesor José Camacho-Collados de la Universidad de Cardiff y la profesora Laura Sevilla de la Universidad de Edimburgo. Pueden leer más detalles sobre las conferencias magistrales en: https://sites.google.com/view/andaluzia-es/programa/ponentes. Además, incluirá dos sesiones orales y dos sesiones de pósters (una con café y otra con almuerzo) en las que se presentarán los resultados de investigación de los trabajos de los participantes aceptados. Además, habrá una mesa redonda, una recapitulación comunitaria y una sesión final más distendida con mantecados y turrón. Asimismo, el 19 de diciembre se celebrará el taller «Fundamentos del Deep Learning» del programa de formación NVIDIA Deep Learning Institute. Más información sobre el taller e inscripciones en: https://sites.google.com/view/andaluzia-es/programa/taller-nvidia. REGISTRO El plazo de inscripción a precio reducido finaliza el 15 de Noviembre de 2024, por lo que les animamos a aprovechar la tarifa de la inscripción anticipada. Todos los participantes y asistentes deben registrarse en https://sites.google.com/view/andaluzia-es/registro. FECHAS IMPORTANTES ● Fecha tope de envío de trabajos: 15 de octubre de 2024 (extendida al 20 de octubre de 2024) ● Notificación de aceptación: 4 de noviembre de 2024 ● Fecha límite de registro a precio reducido: 15 de noviembre de 2024 INFORMACIÓN DE CONTACTO maite(a)ujaen.es sjzafra(a)ujaen.es COMITÉ ORGANIZADOR https://sites.google.com/view/andaluzia-es/organizadores [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 326 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

1 0

Research position (PhD/PostDoc) at Bielefeld University, Germany
by Sina Zarrieß 08 Nov '24

08 Nov '24

The Computional Linguistics Group at Bielefeld University is looking for a ** Researcher (full-time, PhD or PostDoc) ** to work in a project on measuring linguistic creativity in different genres. The project is part of a newly established Collaborative Research Centre (CRC 1646) on “Linguistic Creativity in Communication” [1]. The announced position will focus on computational aspects of measuring linguistic creativity. A central task will be to develop sentence embedding models that disentangle style and content, based on language models for different literary and non-literary genres, and to work on the analysis of linguistic creativity in large language models, in collaboration with other projects of the CRC. The duration of the position is approx. 3 years (until the end of 2027). Deadline for applications: 20.11.2024 Contact: Sina Zarrieß (sina.zarriess(a)uni-bielefeld.de) Apply here: https://uni-bielefeld.hr4you.org/job/view/3794/research-position?page_lang=… [1] https://www.uni-bielefeld.de/fakultaeten/linguistik-literaturwissenschaft/f… -- Prof. Dr. Sina Zarrieß Computational Linguistics https://clause-bielefeld.github.io/ University of Bielefeld Universitätsstr. 25 33615 Bielefeld, Germany +49 521 106-2534

1 0