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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

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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)

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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/ �

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NTCIR-18 - CALL FOR TASK PARTICIPATION - June 2025, Tokyo, Japan
by CHUNG-CHI CHEN 11 Nov '24

11 Nov '24

[apologies if you receive multiple copies of this call] NTCIR-18 tasks: https://research.nii.ac.jp/ntcir/ntcir-18/tasks.html NTCIR-18 registration: https://research.nii.ac.jp/ntcir/ntcir-18/howto.html ____________________________________________________________ NTCIR-18 (June 10-13, 2025, Tokyo, Japan) now calls for task participation of anyone interested in research on information access technologies and their evaluation, such as retrieval from a large amount of document collections, question answering and natural language processing. We welcome students, young researchers, professors who supervise students, researchers working for a company, and anyone who is interested in informatics. == What is NTCIR? == Development of Information Access technologies based on techniques of Information Retrieval, Natural Language Processing, and Database Management becomes increasingly more important for many applications, (e.g., providing effective access to Web resources and text archives, and analyzing big data obtained from various kinds of sensors). It is indispensable for developing such technologies to experimentally evaluate them by using test collections constructed under collaborations of many researchers. Over the past 20 years, NTCIR has been formulating the infrastructure for the evaluation, and contributing to development of the Information Access technologies. A total of over 80 "evaluation tasks" have been organized, attracting over 1,000 participant research groups worldwide so far. Furthermore, over 4,600 research groups have signed up to use the NTCIR test collections in their research. Consequently, NTCIR has been a major forum for researchers to intensively discuss the evaluation methodology of emerging information access technologies. == NTCIR-18 Tasks == NTCIR-18 Program Committee has selected 10 tasks. The overview slide of each task is available at the kick-off page: https://research.nii.ac.jp/ntcir/ntcir-18/kickoffcfp.html For more details, please visit the websites of each task: Task Overview page: https://research.nii.ac.jp/ntcir/ntcir-18/tasks.html ---------------------------------------------------------------------------- NTCIR-18 Tasks Core Tasks AEOLLM: Automatic Evaluation of LLMs - https://aeollm.github.io/ FairWeb-2: The Second Fair Web Task - sakailab.com/fairweb2/ FinArg-2: Temporal Inference of Financial Arguments - https://sites.google.com/nlg.csie.ntu.edu.tw/ntcir-18-finarg-2/ <https://sites.google.com/nlg.csie.ntu.edu.tw/ntcir-18-finarg-2/finarg-2> Lifelog-6: Personal Lifelog Organisation & Retrieval Task - http://lifelogsearch.org/ntcir-lifelog/ RadNLP: Natural Language Processing for Radiology - https://sociocom.naist.jp/radnlp-2024 MedNLP-CHAT Medical Natural Language Processing for AI Chat - https://sociocom.naist.jp/mednlp-chat Transfer-2: Resource Transfer Based Dense Retrieval - https://github.com/ntcirtransfer/transfer2/discussions Pilot Tasks HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation - https://sites.google.com/view/ntcir-18-hidden-rad/hidden-rad SUSHI: Searching Unseen Sources for Historical Information - https://sites.google.com/view/ntcir-sushi-task/ U4: Unifying, Understanding, and Utilizing Unstructured Data in Financial Reports - https://sites.google.com/view/ntcir18-u4/ == How to Participate == 1. Please carefully read "How to Participate to NTCIR-18 Task(s)": https://research.nii.ac.jp/ntcir/ntcir-18/howto.html 2. Please register at https://ntcir.nii.ac.jp/index.php/ntcir-18-registration-form/ The datasets of each task will be delivered to the team after registration (the date may vary depending on the task). Registration Due (Depend on the task): Nov. 1st, 2024 (Passed) - FairWeb-2: The Second Fair Web Task Nov. 15th, 2024 - SUSHI Searching Unseen Sources for Historical Information Dec. 1st, 2024 - RadNLP: Natural Language Processing for Radiology Dec. 16th, 2024 - Transfer-2: Resource Transfer Based Dense Retrieval Dec. 28th, 2024 - U4: Unifying, Understanding, and Utilizing Unstructured Data in Financial Reports Jan 8th, 2025 - HIDDEN-RAD: Hidden Causality Inclusion in Radiology Report Generation Jan 15th, 2025 - AEOLLM: Automatic Evaluation of LLMs - FinArg-2: Temporal Inference of Financial Arguments - Lifelog-6: Personal Lifelog Organisation & Retrieval Task Jan 17th, 2025 - MedNLP-CHAT: Medical Natural Language Processing for AI Chat == Schedule == (*Schedule can be different for different tasks. Please visit webpages of each task for the details.) Sep 2024-Feb 2025 Formal run* Feb 1, 2025 Evaluation results return Feb 1, 2025 Task overview release (draft) Mar 1, 2025 Submission due of participant papers (draft) May 1, 2025 Camera-ready participant paper due Jun 10-13, 2025 NTCIR-18 Conference (At the NTCIR-18 Conference, an online presentation will be available) == Questions? == For information regarding the task specifications etc., please contact the NTCIR Program Chairs: ntc18-pcc(a)nii.ac.jp or task organizers. For information regarding the online registration and previous NTCIR test collections, please contact the NTCIR office: ntc-secretariat(a)nii.ac.jp We are looking forward to your participation! NTCIR-18 Program Co-Chairs: Qingyao Ai (Tsinghua University, China) Chung-Chi Chen (AIST, Japan) Shoko Wakamiya (NAIST, Japan) NTCIR-18 General Co-Chairs: Charles Clarke (University of Waterloo, Canada) Noriko Kando (National Institute of Informatics, Japan) Makoto P. Kato (University of Tsukuba, Japan) Yiqun Liu (Tsinghua University, China)

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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

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[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/>

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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

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PhD positions in Computational Linguistics, University of Manitoba
by Tristan Miller 06 Nov '24

06 Nov '24

The Computational Linguistics at Manitoba (CLAM) Lab [1] at the University of Manitoba [2] is offering funded PhD positions starting in 2025 for the following research topics: 1. Computational humour, with a focus on validation of linguistic theories of humour, translation of humour, and/or classification of aggressive humour. 2. Historical born-digital corpora, with a focus on constructing and analyzing structured, annotated text corpora from Usenet or other pre-Web archives. 3. Indigenous language technology, with a focus on developing digital resources for text processing, writing, typesetting, and/or language revitalization. We are seeking highly motivated candidates with a strong interest in linguistically informed approaches to these topics. ROLE DESCRIPTION Successful candidates will pursue a doctoral degree in the Computer Science [3] or Individual Interdisciplinary Studies [4] program while working as a graduate research assistant. In these roles, and supported by their supervisor(s), they will design and carry out scientific experiments, construct and analyze text corpora or other data sets, develop and publish research software, collaborate with local and international researchers, and write papers for high-quality journals and conferences. The prospective starting date is September 2025. QUALIFICATIONS Required: * A research-based Master's degree in computer science or a related discipline, together with a strong background in (computational) linguistics or natural language processing. (Candidates with a Master's degree in linguistics and strong technical and programming skills may also be considered.) * Fulfillment of the admission requirements for the Computer Science PhD program or the Individual Interdisciplinary Studies PhD program. * Ability to work both independently and as part of a team. Highly desirable: * Past research publications in computer science or linguistics * Knowledge of any of the following: * theories of verbal humour or verbal aggression * text corpora * history of computing (pre-WWW) * language tools and resources (dictionaries, wordnets, parsers, etc.) * an indigenous language (particularly one of the Anishinaabeg, Ininiwak, Anisininewuk, Dakota Oyate, Dene, or Métis people) ABOUT THE UNIVERSITY OF MANITOBA The University of Manitoba [2] is consistently ranked among the top research-intensive universities in Canada [5]. Its strong and rapidly growing Department of Computer Science [6] advances research at the frontiers of artificial intelligence, human–computer interaction, autonomous agents, and other areas, with a track record of interdisciplinary and industry collaboration. Winnipeg [7], the sixth-largest city in Canada, and one of the most livable [8], boasts a vibrant, multicultural community and ample opportunities for sport, leisure, and entertainment. It is home to internationally renowned festivals, galleries, and museums; the historic Exchange District and The Forks; and ever-expanding research, education, and business sectors. From the Hudson Bay waters, across the farmland fields, to the pulse of the cities and towns, the province of Manitoba [9] has 100,000 lakes, 92 provincial parks, winding river valleys, and storied prairie skies. HOW TO APPLY Send the following to Dr. Tristan Miller [10] at Tristan.Miller(a)umanitoba.ca: * Your curriculum vitae * Copies of your degree certificates and transcripts * A copy of your Master's thesis and any academic publications * A cover e-mail that summarizes your interest in and aptitude for one of the three research topics above, with specific reference to your background and to any relevant projects or publications you were involved in. Applications will be accepted until December 1, 2024 or until the positions are filled. Applications are particularly encouraged from those who are women, non-binary, indigenous, or members of other underrepresented groups. Only those candidates who are shortlisted for an interview will be contacted. [1] https://clam.cs.umanitoba.ca/ [2] https://www.umanitoba.ca/ [3] https://umanitoba.ca/explore/programs-of-study/computer-science-phd [4] https://umanitoba.ca/explore/programs-of-study/individual-interdisciplinary… [5] https://u15.ca/about-us/our-members/ [6] https://www.cs.umanitoba.ca/ [7] https://www.tourismwinnipeg.com/ [8] https://www.economicdevelopmentwinnipeg.com/newsroom/read,post/1026/winnipe… [9] https://www.travelmanitoba.com/ [10] https://logological.org/ -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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PhD positions in Computational Linguistics, University of Manitoba
by Tristan Miller 06 Nov '24

06 Nov '24

The Computational Linguistics at Manitoba (CLAM) Lab [1] at the University of Manitoba [2] is offering funded PhD positions starting in 2025 for the following research topics: 1. Computational humour, with a focus on validation of linguistic theories of humour, translation of humour, and/or classification of aggressive humour. 2. Historical born-digital corpora, with a focus on constructing and analyzing structured, annotated text corpora from Usenet or other pre-Web archives. 3. Indigenous language technology, with a focus on developing digital resources for text processing, writing, typesetting, and/or language revitalization. We are seeking highly motivated candidates with a strong interest in linguistically informed approaches to these topics. ROLE DESCRIPTION Successful candidates will pursue a doctoral degree in the Computer Science [3] or Individual Interdisciplinary Studies [4] program while working as a graduate research assistant. In these roles, and supported by their supervisor(s), they will design and carry out scientific experiments, construct and analyze text corpora or other data sets, develop and publish research software, collaborate with local and international researchers, and write papers for high-quality journals and conferences. The prospective starting date is September 2025. QUALIFICATIONS Required: * A research-based Master's degree in computer science or a related discipline, together with a strong background in (computational) linguistics or natural language processing. (Candidates with a Master's degree in linguistics and strong technical and programming skills may also be considered.) * Fulfillment of the admission requirements for the Computer Science PhD program or the Individual Interdisciplinary Studies PhD program. * Ability to work both independently and as part of a team. Highly desirable: * Past research publications in computer science or linguistics * Knowledge of any of the following: * theories of verbal humour or verbal aggression * text corpora * history of computing (pre-WWW) * language tools and resources (dictionaries, wordnets, parsers, etc.) * an indigenous language (particularly one of the Anishinaabeg, Ininiwak, Anisininewuk, Dakota Oyate, Dene, or Métis people) ABOUT THE UNIVERSITY OF MANITOBA The University of Manitoba [2] is consistently ranked among the top research-intensive universities in Canada [5]. Its strong and rapidly growing Department of Computer Science [6] advances research at the frontiers of artificial intelligence, human–computer interaction, autonomous agents, and other areas, with a track record of interdisciplinary and industry collaboration. Winnipeg [7], the sixth-largest city in Canada, and one of the most livable [8], boasts a vibrant, multicultural community and ample opportunities for sport, leisure, and entertainment. It is home to internationally renowned festivals, galleries, and museums; the historic Exchange District and The Forks; and ever-expanding research, education, and business sectors. From the Hudson Bay waters, across the farmland fields, to the pulse of the cities and towns, the province of Manitoba [9] has 100,000 lakes, 92 provincial parks, winding river valleys, and storied prairie skies. HOW TO APPLY Send the following to Dr. Tristan Miller [10] at Tristan.Miller(a)umanitoba.ca: * Your curriculum vitae * Copies of your degree certificates and transcripts * A copy of your Master's thesis and any academic publications * A cover e-mail that summarizes your interest in and aptitude for one of the three research topics above, with specific reference to your background and to any relevant projects or publications you were involved in. Applications will be accepted until December 1, 2024 or until the positions are filled. Applications are particularly encouraged from those who are women, non-binary, indigenous, or members of other underrepresented groups. Only those candidates who are shortlisted for an interview will be contacted. [1] https://clam.cs.umanitoba.ca/ [2] https://www.umanitoba.ca/ [3] https://umanitoba.ca/explore/programs-of-study/computer-science-phd [4] https://umanitoba.ca/explore/programs-of-study/individual-interdisciplinary… [5] https://u15.ca/about-us/our-members/ [6] https://www.cs.umanitoba.ca/ [7] https://www.tourismwinnipeg.com/ [8] https://www.economicdevelopmentwinnipeg.com/newsroom/read,post/1026/winnipe… [9] https://www.travelmanitoba.com/ [10] https://logological.org/ -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://clam.cs.umanitoba.ca/ | Tel. +1 204 474 6792

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Digital Research Data and Human Sciences in the Age of A.I. - call for registration
by Michael Pace-Sigge 06 Nov '24

06 Nov '24

Dear friends and colleagues (apologies for cross-posting) Digital Research Data and Human Sciences in the Age of A.I. Final Call for registration (ends 05/12/2024) University of Eastern Finland, Joensuu campus, December 10 ̶ 12, 2024 https://sites.uef.fi/drd-hum-2024/ Please register here: https://registration.contio.fi/uef/Registration/Login?id=7500-T_7500-8717 Today, there are many ways in which the human and social sciences use digital tools to investigate different aspects of human life and society. As the significance and use of digital resources continually expands into new fields of study, there are some disciplines which have already been working with digital methods for decades. This conference aims to present an overview of the current state of research in fields such as archival studies, cultural studies, history, linguistics, literature, performing and visual arts, philosophy where novel approaches are being made available through digital tools. The 2024 conference focusses on novel and innovative approaches to make use of digital applications, in particular in the light of the advent of machine learning and A.I. solutions. DRDHum 2024 is organized by the University of Eastern Finland. The first (D)RDHum Conference was hosted at the University of Oulu in 2019, where the focus was specifically on linguistic text corpora. The second conference, 2022 at the University of Jyväskylä was more expansive, looking at digital resources and technologies within the humanities and include multi-modal approaches. Plenary Speakers: Professor Katherine Bode, Australian National University Professor Anna Foka, Uppsala University, Sweden Professor Michaela Mahlberg, FAU, Germany Professor Tony McEnery, University of Lancaster, UK Dr Michael Pace-Sigge (he/him/his) School of Humanities Dept. of English Language and Culture University of Eastern Finland Room 155 Agora Tel.+ 358 (0) 504423473 P.O. Box 111 FI-80101 Joensuu Finland https://orcid.org/0000-0002-5164-5242 https://sites.uef.fi/drd-hum-2024/

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