- Corpora - ELRA lists

Open position as Group Leader in Natural Language Processing, Bielefeld University
by cimiano＠cit-ec.uni-bielefeld.de 16 Oct '24

16 Oct '24

Bielefeld University has an open position as group leader in Natural Language Processing at the Faculty of Technology. We are looking for a postdoctoral researcher who can independently set up and lead a group on Natural Language Processing. The group leader is expected to build up an independent research profile in the field of Natural Language Processing (NLP) and to publish the research work at international conferences (e.g. ACL, EMNLP, COLING, AAAI, …). The group leader will be affiliated with the „Semantic Computing Lab“ [1] led by Prof. Philipp Cimiano The research of the group leader should be compatible with the research topics of the „Semantic Computing“ lab. Possible research topics include: • Robustness and safety of large language models for NLP • Ethical aspects and FAIRness of NLP systems • Fine-tuning and transfer learning for the adaptation of LLMs • LLMs for information extraction • Auto-ML for LLMs • Argument Mining • Common Sense Knowledge for NLP • Temporal Reasoning for NLP The successful candidate has an excellent track record in the field of NLP with demonstrated ability to publish at top tier conferences. Ideally, the candidate will have teaching experience and experience in third party funding acquisition. The position involves teaching duties corresponding to 4 hours per week. The position is available for 3 years and can be extended for up to 3 further years. Inquires and applications should be sent to cimiano(a)techfak.uni-bielefeld.de <mailto:cimiano@techfak.uni-bielefeld.de> <mailto:cimiano@techfak.uni-bielefeld.de>. The application deadline is October 25th. Applications should include a CV, research statement and teaching concept. [1] https://www.uni-bielefeld.de/fakultaeten/technische-fakultaet/arbeitsgruppe… Prof. Dr. Philipp Cimiano AG Semantic Computing Coordinator of the Cognitive Interaction Technology Center (CITEC) Co-Director of the Joint Artificial Intelligence Institute (JAII) Universität Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano(a)cit-ec.uni-bielefeld.de Personal Zoom Room: https://uni-bielefeld.zoom-x.de/my/pcimiano Office CITEC-2.307 Universitätsstr. 21-25 33615 Bielefeld, NRW Germany

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SEPLN: CFP issue 74 of the journal Procesamiento del Lenguaje Natural Deadline ***22nd November***
by aitziber.atucha＠ehu.eus 15 Oct '24

15 Oct '24

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** Call for papers for issue 74 of the journal Procesamiento del Lenguaje Natural http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines Introduction The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews, and summaries of PhD theses. The scientific quality of the Journal is supported by the 2023 JCR index (JIF: 1.2, JCI: 0.39, Q2-Linguistics - Q4-Computer Sciences, Artificial Intelligence ESCI), the SCImago Journal Ranking (2023 SJR: 0.677, Q2-Computer Science Applications, Q1-Linguistics and Language), the Scopus Index (2023 CiteScore: 5.4) and the index SNIP (Source Normalized Impact per Paper) with 2.07 points. More information at: http://www.sepln.org/en/journal/quality. Topics NLP for low-resource languages Efficient and sustainable NLP methods Ethics, Bias and Fairness in NLP Truthworthy and explainability in NLP Security and privacy in NLP Text and Multimodal Generation Multimodality and Language Grounding to Vision Knowledge and common sense Computational lexicography and terminology Linguistic theories, Cognitive Modeling and Psycolinguistics Morphological and Syntactic analysis Corpus linguistics Development of linguistic resources and tools Semantics, pragmatics, and discourse Machine translation Speech synthesis and recognition Audio indexing and retrieval Dialogue systems and interactive systems/ Conversational assistants Monolingual and multilingual information extraction and retrieval Question answering systems Automatic textual content analysis Sentiment analysis, opinion mining and argument mining Plagiarism detection Negation and speculation processing Text summarization Text simplification Image retrieval NLP in specific domains (Medicine, Law, Education) Submission Information The proposal must be submitted by November 22nd, 2024 and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the OpenReview system. Submitted papers will be subjected to a blind review by at least three members of the program committee. Categories of papers Regular papers with original contributions. Summary of PhD thesis. Information for Authors The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: The title of the communication (in English and Spanish). An abstract in English and Spanish (maximum 150 words). A list of keywords or related topics (in English and Spanish). The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines Note on camera ready The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. Preprint policy The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. Important dates Submission deadline: November 22nd, 2024 Notification of acceptance: January 27th, 2025 Camera ready: February 7th, 2025 Publication: March 2025 Contact person: Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 74. http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores Objetivos de la revista La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2023 (JIF: 1.2, JCI: 0.39, Q2-Linguistics - Q4-Computer Sciences, Artificial Intelligence ESCI), el índice SCImago Journal Ranking (2023 SJR: 0.677, Q2-Computer Science Applications, Q1-Linguistics and Language), el índice de Scopus (2023 CiteScore: 5.4) y el índice SNIP (Source Normalized Impact per Paper) con 2,07 puntos. Más información en http://www.sepln.org/la-revista/calidad. Áreas temáticas PLN para lenguas con recursos limitados Diversidad y PNL para lenguas de bajos recursos Métodos de PNL eficientes y sostenibles LLM: Diseño, Creación, Evaluación Ética, Sesgo y Equidad en la PNL PNL veraz y explicable Seguridad y Privacidad en PNL Generación Texto y Multimodal Multimodalidad y fundamento del lenguaje para la visión Conocimiento y sentido común Teorías lingüísticas, modelado cognitivo y psicolingüística Análisis Morfológico y Sintáctico Lingüística de corpus Desarrollo de recursos y herramientas lingüísticas Semántica, pragmática y discurso Traducción automática Reconocimiento y síntesis de habla Indexación y recuperación de Audio Sistemas de diálogo y sistemas interactivos/Asistentes conversacionales Recuperación y extracción de información monolingüe y multilingüe Sistemas de búsqueda de respuestas Análisis automático de contenido textual Análisis de opiniones, emociones y minería de la argumentación Detección de plagio Procesamiento de la negación y la especulación Resumen automático de texto Simplificación de texto Recuperación de imágenes PLN especifico al dominio (Medico, Juridico-administrativo, Educación, etc) Envío de trabajos Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del 22 de Noviembre de 2024. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema OpenReview. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. Tipos de trabajos Artículos sobre contribuciones originales. Reseñas de tesis doctorales. Instrucciones para los Autores Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: El título del artículo (en español e inglés). Un resumen en español y un abstract en inglés de un máximo de 150 palabras. Un listado de temas relacionados o palabras clave (en español e inglés). Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. Nota sobre la versión final La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. Política de prepublicación La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. Fechas importantes Envío de trabajos: 22 de Noviembre 2024 Notificación de aceptación/rechazo: 27 de Enero 2025 Versión final: 7 de febrero de 2025 Publicación: Marzo de 2025 Persona de contacto:Aitziber Atutxa (aitziber.atucha(a)ehu.eus) Consejo de redacción de la revista Procesamiento del Lenguaje Natural.

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October 2024 Newsletter - LDC
by Penn LDC 15 Oct '24

15 Oct '24

In this newsletter: LDC/Penn receives US Dept of Education research grant Membership year 2025 publication preview Fall 2024 data scholarship recipients New publications: RST Continuity Corpus<https://catalog.ldc.upenn.edu/LDC2024T08> MultiTACRED<https://catalog.ldc.upenn.edu/LDC2024T09> ________________________________ LDC/Penn receives US Dept of Education research grant LDC and Penn's Graduate School of Education and Department of Computer and Information Science are part of a team that was recently awarded a $10 million grant from the US Department of Education<https://ies.ed.gov/funding/grantsearch/details.asp?ID=6066> to develop the Using Generative Artificial Intelligence for Reading R&D Center (U-GAIN Reading) which will explore using generative AI to improve elementary school reading instruction for English learners. Led by the education nonprofit Digital Promise, U-GAIN Reading will build on an existing research-based tutoring platform, Amira Learning, that is used by more than 1 million students each year. The LDC/Penn team will contribute expertise in computational linguistics, computer science, and learning analytics. An evaluation team at MDRC will measure learner outcomes both to improve the R&D and to benchmark its eventual impacts. Additional experts in the science of reading, ethics, and strategies for national impact will support the project's work. Data developed in the project will be shared with the community through the LDC Catalog. Membership year 2025 publication preview The 2025 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * Iraqi Arabic - English Lexical Database: a set of six interrelated tables (roots, lemmas, wordforms, multi-word expressions, English definitions, example phrases) presenting each Iraqi Arabic word in Arabic script and IPA format, a result of LDC's collaboration with Georgetown University Press to enhance and update three dialectal Arabic dictionaries * AIDA topic source data and annotations: multimodal source data and annotations in multiple languages (Russian, English, Spanish) for information and entity extraction * 2015 NIST Language Recognition Evaluation Test Set: 164,000+ segments of conversational telephone speech and broadcast narrow band speech in six linguistic varieties (Arabic, Spanish, English, Chinese, Slavic, French) representing 20 languages, used in NIST's 2015 language recognition evaluation * BOLT CALLFRIEND CALLHOME CTS Audio, Transcripts and Translations: previously unpublished Chinese and Egyptian Arabic telephone conversations from the CALLFRIEND and CALLHOME collections, with transcripts and translations developed by LDC for the DARPA BOLT program * Chinese Sentence Pattern Structure Treebank: 5,000+ sentences from ancient and modern Chinese texts with syntactic annotation based on sentence constituent analysis, developed by Beijing Normal University and Peking University * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Georgian, Kazakh, Lithuanian) * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Hungarian, Hindi, Amharic, Somali) Check your inbox for more information about membership renewal. Fall 2024 data scholarship recipients Congratulations to the recipients of LDC's Fall 2024 data scholarships: Yomma Gamaleldin: Alexandria University (Egypt): Master's student, Computer and Systems Engineering Department. Yomma is awarded a copy of Qatari Corpus of Argumentative Writing (LDC2022T04) for her work in Arabic automated essay scoring. Arhane Mahaganapathy: Jaffna University (Sri Lanka): Master's student, Department of Computer Science. Ahrane is awarded copies of IARPA Babel Tamil Language Pack (LDC2017S13) and Multi-Language Telephone Speech 2011 - South Asian (LDC2017S14) for her work in Tamil speech-to-text systems. Sivashanth Suthakar: Jaffna University (Sri Lanka): Master's student, Department of Computer Science. Sivashanth is awarded copies of CAMIO Transcription Languages (LDC2022T07) and LORELEI Tamil Representative Language Pack (LDC2023T03) for his work in Tamil OCR systems. Oshan Yalegama: University of Moratuwa (Sri Lanka): BSc, Electronic and Telecommunication Engineering. Oshan is awarded copies of CSR-I (WSJ0) Complete (LDC93S6A) and TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1) for his work in audio signal processing. Samer Mohammed Yaseen: Sana'a University (Yemen): PhD candidate, Faculty of Computer and Information Technology. Samer is awarded a copy of Arabic Newswire Part 1 (LDC2001T55) for his work in Arabic information retrieval. ________________________________ New publications: RST Continuity Corpus<https://catalog.ldc.upenn.edu/LDC2024T08> was developed at Åbo Akademi University and Humboldt-Universität zu Berlin and contains annotations for continuity dimensions added to RST Discourse Treebank (LDC2002T07)<https://catalog.ldc.upenn.edu/LDC2002T07>. RST Discourse Treebank is a collection of English news texts from the Penn Treebank<https://catalog.ldc.upenn.edu/LDC99T42> annotated for rhetorical relations under the RST (Rhetorical Structure Theory) framework. In RST Continuity Corpus, the relations are annotated for the seven continuity dimensions: time, space, reference, action, perspective, modality, and speech act. The relations are also annotated for polarity, order of segments, nuclearity, and context. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * MultiTACRED<https://catalog.ldc.upenn.edu/LDC2024T09> was developed by the German Research Center for Artificial Intelligence (DFKI) Speech and Language Technology Lab<https://www.dfki.de/en/web/research/research-departments/speech-and-languag…> and is a machine translation of TAC Relation Extraction Dataset (LDC2018T24)<https://catalog.ldc.upenn.edu/LDC2018T24> (TACRED) into twelve languages with projected entity annotations. TACRED is a large-scale relation extraction dataset containing 106,264 examples built over English newswire and web text used in the NIST TAC KBP English slot filling evaluations during the period 2009-2014. The training and evaluation data for the TAC KBP slot filling tasks was developed by the Linguistic Data Consortium. TACRED training, development, and test splits were translated into Arabic, Chinese, Finnish, French, German, Hindi, Hungarian, Japanese, Polish, Russian, Spanish, and Turkish using DeepL<https://www.deepl.com/> or Google Translate<https://translate.google.com>. The test split was back-translated into English to generate machine-translated English test data. TACRED annotations are specified by token offsets. For translation, tokens were concatenated with white space, and the entity offsets were converted into XML-style markers to denote argument. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Release: 𝐒𝐢𝐧𝐚𝐓𝐨𝐨𝐥𝐬 – 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐓𝐨𝐨𝐥𝐤𝐢𝐭 𝐟𝐨𝐫 𝐀𝐫𝐚𝐛𝐢𝐜 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐍𝐋𝐔
by Mustafa Jarrar 15 Oct '24

15 Oct '24

We are happy to release SinaTools - Open Source Toolkit for Arabic NLP and NLU We are excited to release SinaTools - Open Source Toolkit for Arabic NLP and NLU, which consists of Python APIs, command lines, online demos, and many datasets - free for both commercial and non-commercial purposes. It outperforms all related tools in all tasks in speed and accuracy. It includes the following modules: ▸ Morphology Tagger: Lemmatizer, POS tagger, root tagger. ▸ WSD Tagger: Pipeline of semantic taggers: single-word WSD, multi-word WSD, and NER ▸ Synonyms Generator: Extends a set of synonyms with more synonyms. ▸ Semantic Relatedness: Association between two sentences across various dimensions, meaning, underlying concepts, domain-specificity, etc. ▸ Named Entity Recognition: Nested and flat NER, 21 entity types. ▸ Relation Extraction: Extract events and their arguments (agents, locations, and dates). ▸ Diacritic-Based Matching: Decides whether two Arabic words are the same taking into account diacratization compatibility. ▸ Utilities: A set of useful NLP methods for sentence splitting, duplicate word removal, Arabic Jaccard similarity metrics, transliteration, and others. Try and Download: https://sina.birzeit.edu/sinatools. Article: Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia: SinaTools: Open Source Toolkit for Arabic Natural Language Understanding <https://www.jarrar.info/publications/HJK24.pdf>. In Proceedings of the 2024 AI in Computational Linguistics (ACLING 2024), Procedia Computer Science, Dubai. ELSEVIER. https://www.jarrar.info/publications/HJK24.pdf --Mustafa __________________________ Mustafa Jarrar, PhD Professor of Artificial Intelligence Chair, PhD Program in Computer Science Birzeit University, Palestine Page: http://www.jarrar.info <http://www.jarrar.info/> SinaLab: https://sina.birzeit.edu <https://sina.birzeit.edu/>

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Job: Assistant Professor of Linguistics at Boston University (Computational Linguistics, AI cluster hiring at the Faculty of Computing & Data Sciences)
by najoung＠bu.edu 15 Oct '24

15 Oct '24

The Department of Linguistics at Boston University seeks to hire an Assistant Professor specializing in Computational Linguistics as part of a cluster hiring initiative in AI led by the Faculty of Computing & Data Sciences (CDS). The application will be handled centrally through CDS, and we encourage candidates interested in the Department of Linguistics to explicitly include the keyword "Linguistics" in their primary research interests in their AJO application. We will give full consideration to applications submitted by December 1, 2024, and will continue the review on a rolling basis until April 15, 2025. The candidate will hold a primary appointment in Linguistics, with a secondary appointment in or affiliation with CDS. We expect the candidate to conduct research and teach courses in Computational Linguistics and related areas at all levels, and advise undergraduate and graduate students. The candidate's research must be at the intersection of Linguistics and AI; this could include, but is not limited to: studying how linguistic theory and experimental linguistic methodology can productively inform the evaluation of new language technologies, how domain knowledge about specific languages---especially understudied languages---can help generalize the benefits of such technologies in more equitable ways, or how the newly emerging capacities of AI can expand the computational linguists' modeling and analysis toolkit, potentially leading to methodological innovations and discoveries that were not possible before. We furthermore expect the candidate to hold a secondary specialization in at least one subfield of Linguistics. Requirements for this position include a PhD in relevant disciplines (e.g., Linguistics, Cognitive Science, Computer Science) in hand by the start date, plus demonstrated excellence in teaching and research. For questions, please contact the search chair (Paul Hagstrom, hagstrom(a)bu.edu). For details on the cluster hiring initiative, and on how to apply, see the official advertisement from CDS below. Official CDS announcement: https://www.bu.edu/cds-faculty/culture-community/join-us/faculty-positions/… Application link: https://academicjobsonline.org/ajo/jobs/28310 Najoung Kim Assistant Professor Department of Linguistics & Computer Science (affiliate), Boston University https://najoung.kim 🍪

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[Andaluz.IA 2024] II Andaluz.IA Forum - Deadline for submissions today
by Salud María Jiménez Zafra 15 Oct '24

15 Oct '24

==================================================================== CFP II Andaluz.IA Forum December 20, 2024, Antigua Escuela de Magisterio (Universidad de Jaén) *Deadline for submissions today* ==================================================================== 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. For more information on registration, submission of papers and forms of sponsorship, please consult the following link: https://sites.google.com/view/andaluzia/call-for-papers. IMPORTANT DATES ● *Deadline for submission of papers: October 15, 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 [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/>

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Call for Papers: Nordic-Baltic Responsible Evaluation and Alignment of Language Models Workshop 2025
by Annika Simonsen - HI 15 Oct '24

15 Oct '24

***Apologies for possible cross-posting *** We are pleased to invite submissions to the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL), to be held on March 2, 2025, as part of the NoDaLiDa/Baltic-HLT 2025 conference in Tallinn, Estonia. About the Workshop This half-day workshop focuses on the responsible evaluation and alignment of Large Language Models (LLMs) for Nordic and Baltic languages. Our goal is to bring together researchers, practitioners, and stakeholders to address the unique challenges and opportunities in this rapidly evolving field. Topics of Interest We welcome submissions on topics including, but not limited to: - Ethical benchmarks for evaluating LLMs in Nordic and Baltic languages - Methods for creating culturally sensitive and inclusive evaluation datasets - Responsible techniques for generating or collecting alignment data - Challenges and solutions in ethical LLM alignment for less-resourced languages - Case studies on responsible LLM evaluation or alignment projects - Ethical considerations in LLM evaluation and alignment - Comparative studies of LLM performance and fairness in Nordic and Baltic languages - Innovative approaches to leveraging limited language resources in evaluation or alignment of language models Important Dates Paper Submission Deadline: December 16, 2024 Notification of Acceptance: January 13, 2025 Camera-Ready Deadline: February 3, 2025 Workshop Date: March 2, 2025 Workshop Format NB-REAL 2025 will be a half-day workshop held on March 2, 2025 (pre-conference). It will be a hybrid event with both on-site and online participation available. Organizers: Hafsteinn Einarsson, Associate Professor in Computer Science, University of Iceland (hafsteinne(a)hi.is) Annika Simonsen, PhD Student, University of Iceland (annika(a)hi.is) Dan Saattrup Nielsen, Senior AI Specialist, Alexandra Institute (dan.nielsen(a)alexandra.dk) For more information, please visit our website: https://nbreal.xyz/ We look forward to your contributions and to seeing you at NB-REAL 2025!

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Job: Lecturer(~Assistant Professor)/Associate Professor in Computational Linguistics at University College London
by Sebastian Schuster 14 Oct '24

14 Oct '24

Lecturer/Associate Professor in Computational Linguistics University College London Application link: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=11512&… The Department of Linguistics at University College London is looking for a Lecturer (~Assistant Professor)/Associate Professor in Computational Linguistics, beginning in September 2025. About us The UCL Linguistics department has a track record of innovative and excellent research in formal theoretical linguistics and the cognitive science of language. It is part of the UCL Division of Psychology and Language Sciences (PaLS), which is ranked second in the world for psychology (Shanghai Global Ranking of Academic Subjects 2022) and UCL is the top-ranked university in the UK for research power in Psychology, Psychiatry and Neuroscience according to the UK’s Research Excellence Framework 2021. Part of the Faculty of Brain Sciences, we lead the way in the fields of mind, behaviour and language. About the role The Department of Linguistics seeks to train the next generation of linguists who are comfortable integrating computational approaches into their research; and to offer our undergraduate students development in skills that are applicable in the information/data industries. Thus the expectations for the role will include carrying out computational research that makes substantive contact with language theory or research on cognitive science of language; advising masters and doctoral students; and contributing to the departmental teaching in natural language processing, computational linguistics, and linguistics, more generally. About you The successful candidate will have a clear program of research within computational linguistics which makes contact with language theory or cognitive science of language. The successful candidate will have an outstanding record of high-quality publications and research-related activity commensurate with the stage of their academic career. They should hold a PhD in computational linguistics or a closely related area. The successful applicant will be expected to commence their appointment at UCL on 1st September 2025. Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. For informal queries about the role and the application process please contact PaLS HR (pals.hr(a)ucl.ac.uk <mailto:pals.hr@ucl.ac.uk>).

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Job: Assistant Professor of Computational Linguistics at Rochester Institute of Technolog
by Cecilia Alm 14 Oct '24

14 Oct '24

Assistant Professor of Computational Linguistics Rochester Institute of Technology Detailed Job Description The Department of Psychology and Department of Modern Languages and Cultures at the Rochester Institute of Technology jointly invite applications for a full-time, 9-month tenure-track Assistant Professor of Computational Linguistics, beginning in August 2025. Candidates are expected to have an earned doctoral degree (in hand by August 2025) in Linguistics, Computational Linguistics, or a related field. Successful candidates should demonstrate computational expertise, strong research talent, and initiative in grant writing. Candidates should also have a plan for excellence in teaching and student mentoring at the undergraduate and graduate levels. Applicants must be able to teach our courses in language technology, natural language processing, and/or speech processing. In addition, applicants should be able to teach foundational linguistics from a cross-linguistic perspective, as well as courses in one or more linguistics or cognitive science subfields. Proficiency in a language other than English is preferred, and we welcome research or teaching experience involving language learning. The position requires a strong commitment to teaching and mentoring, active research and publication, and a strong potential to attract external funding. Research and teaching are priorities for faculty at RIT, and all faculty are expected to mentor students through advising, research, and in-class experiences. The computational linguistics-related programs at RIT serve a rapidly expanding student population at a technical university. We are particularly looking for a faculty colleague who can also contribute to the interdisciplinary Ph.D. program in Cognitive Science and the M.S. in Artificial Intelligence. In addition, RIT provides many opportunities for collaborative research across the institute in areas such as linguistics of sign languages and languages other than English, artificial intelligence, human-centered computing, and cybersecurity. RIT faculty have access to extensive research computing resources. We are seeking an individual who has the ability and interest in contributing to a community committed to student centeredness; professional development and scholarship; integrity and ethics; respect, diversity and pluralism; innovation and flexibility; and teamwork and collaboration. Select to view links to RIT’s core values<https://www.rit.edu/policies/p040>, honor code<https://www.rit.edu/policies/p030>, and diversity commitment<https://www.rit.edu/diversity/>. Department/College Description The Department of Psychology at RIT offers B.S. and M.S. degrees, Advanced Certificates, minors, immersions, electives, and co-supports interdisciplinary graduate degrees including the Ph.D. program in Cognitive Science and the M.S. program in Artificial Intelligence. It also contributes to joint undergraduate degrees in Human-Centered Computing and Neuroscience. The Department of Modern Languages and Cultures offers a B.S. in Applied Modern Language and Culture with tracks in Chinese, French, Japanese, and Spanish, in addition to minors, immersions, and general education courses in Language Science<https://www.rit.edu/study/language-science-minor>, American Sign Language and Deaf Cultural Studies, Arabic, Chinese, French, German, Italian, Japanese, Latino/Latina/Latin American Studies, Portuguese, Russian, and Spanish. The Department houses a Modern Language Technology Center where faculty and students actively integrate technology into language teaching and learning. The College of Liberal Arts is one of nine colleges within Rochester Institute of Technology. The College has over 150 faculty in 13 departments in the arts, humanities and social sciences. The College currently offers fourteen undergraduate degree programs and five Master degrees, serving over 800 students. The Ph.D. program in Cognitive Science, with language as one of the areas, is interdisciplinary with multiple partner units across the university. The College also jointly delivers the M.S. in Artificial Intelligence with other colleges of the university. We encourage the creation, development, dissemination, and application of human knowledge in the arts, humanities, and social sciences by promoting innovative teaching, scholarship, and research, thus providing a comprehensive education for all RIT students. We strive to prepare students for a lifetime of personal growth and responsible citizenship in an increasingly technological and rapidly changing society by maintaining and promoting the intellectual climate on campus, contributing to students’ awareness and understanding of diversity, and enhancing students’ abilities to reason critically and communicate effectively. We value a rigorous liberal arts education that encourages innovative experiential learning and active scholarship, the highest ethical standards, the educational and social benefits of diversity and global awareness, an interdisciplinary and collaborative environment of openness and academic freedom, a working environment in which all staff and faculty enjoy respect and recognition, and the active and meaningful participation of all members of the College community. Required Minimum Qualifications • Ph.D. (in hand by August 2025) in Linguistics, Computational Linguistics, or a related field. • Have demonstrated ability to conduct independent research in computational linguistics. • Have consistently and recently published. • Demonstrate potential for excellence in teaching language technology, natural language processing, and/or speech processing. • Demonstrate potential for excellence in teaching foundational linguistics from a cross-linguistic perspective, as well as courses in one or more linguistics or cognitive science subfields. • Demonstrate potential for excellence in supervising student research. • Demonstrate potential for external research grant attainment. • Show a career trajectory that emphasizes a balance between research and teaching. • Ability to contribute in meaningful ways to the College’s continuing commitment to cultural diversity, pluralism, and individual differences. How To Apply Apply online at http://careers.rit.edu/faculty; search openings, then Keyword Search 9260BR. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments: * A research statement that includes information about previous grant work, the potential for future grants, and information about one-on-one supervision of student research * A brief teaching philosophy * The names, email addresses, and phone numbers of three references * Contribution to Diversity Statement You can contact the co-chairs of the search committee, Cecilia Alm, Ph.D. and Zhong Chen, Ph.D., with questions on the position at: cecilia.o.alm(a)rit.edu<mailto:cecilia.o.alm@rit.edu> and z.chen(a)rit.edu<mailto:z.chen@rit.edu>. Review of applications will begin November 15, 2024 and will continue until an acceptable candidate is found. RIT does not discriminate. RIT promotes and values diversity, pluralism and inclusion in the work place. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientations, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities.

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PhD & Postdoc positions in data attribution for LLMs at IT University of Copenhagen
by Anna Rogers 14 Oct '24

14 Oct '24

[apologies for cross-posting] IT University of Copenhagen has open positions for a postdoc and 2x PhD students in *data attribution for Large Language Models* (LLMs). These positions are a part of a large project on the problem of attribution for LLM outputs to the original data sources, on which the LLMs were trained. *Application deadlines are Nov 22 (PhD), Nov 15 (postdoc)*. Applications can be submitted via ITU job portal: - PhD (2x 3-year positions): https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… - Postdoc (2-year position): https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… IT University of Copenhagen is the leading Danish university dedicated to various aspects of IT technology, and Copenhagen is one of the happiest and most livable cities in the world. The candidates will be part of NLPNorth research group <https://nlpnorth.github.io/> (with 5 full-time faculty working in various areas of NLP), as well as Pioneer Center for AI <https://www.aicentre.dk/>. The project is led by Assoc. Prof. Anna Rogers <https://annargrs.github.io>, to whom inquires about the project can be directed (arog(a)itu.dk). The project has planned academic and industry collaborations (potentially with research stays for PhD students), with labs in Allen Institute for AI, Carnegie Mellon University, HuggingFace, and RIKEN high-performance computing center (Japan). -- Best regards, Anna Rogers Associate Professor IT University of Copenhagen http://annargrs.github.io/

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