*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/
�
*<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>
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
(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/>
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
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
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
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/0000-0002-5164-5242https://sites.uef.fi/drd-hum-2024/
Dear colleague, working on lexical innovation and neologisms,
If you didn’t have the chance yet, we kindly invite you to participate in the ENEOLI survey on neology by November 15 and help us get valuable information about available resources for neology research and documentation: https://1ka.arnes.si/eneoli .
The survey is being conducted as part of the European Network on Lexical Innovation (ENEOLI) Cost Action CA22126. Its objective is to gather insights into the methods, practices, tools, and resources used in neology, the study of lexical innovations, including both neologisms (new words or expressions) and new senses of existing words.
We want to reach as many people as we can, so please share the survey with your colleagues, your local research and expert communities and through social media channels
Best regards,
On behalf of the ENEOLI action,
Kris Heylen (Dutch Language Institute, Leiden, The Netherlands)
[Due to many requests, we have extended the submission deadline]
Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages.
>> Topics
LoResLM 2025 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages, including but not limited to the following.
*
Building language models for low-resource languages.
*
Adapting/extending existing language models/large language models for low-resource languages.
*
Corpora creation and curation technologies for training language models/large language models for low-resource languages.
*
Benchmarks to evaluate language models/large language models in low-resource languages.
*
Prompting/in-context learning strategies for low-resource languages with large language models.
*
Review of available corpora to train/fine-tune language models/large language models for low-resource languages.
*
Multilingual/cross-lingual language models/large language models for low-resource languages.
*
Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.
>> Important Dates
*
Paper submission due – 5th November 2024 12th November 2024
*
Notification of acceptance – 25th November 2024
*
Camera-ready due – 13th December 2024
*
LoResLM 2025 workshop – 19th / 20th January 2025 co-located with COLING 2025
>> Submission Guidelines
We follow the COLING 2025 standards for submission format and guidelines. LoResLM 2025 invites the submission of long papers of up to eight pages and short papers of up to four pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references), papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an unlimited appendix.
To prepare your submission, please make sure to use the COLING 2025 style files available here:
*
Latex - https://coling2025.org/downloads/coling-2025.zip
*
Word - https://coling2025.org/downloads/coling-2025.docx
*
Overleaf - https://www.overleaf.com/latex/templates/instructions-for-coling-2025-proce…
Papers should be submitted through Softconf/START using the following link: https://softconf.com/coling2025/LoResLM25/
>> Organising Committee
*
Hansi Hettiarachchi, Lancaster University, UK
*
Tharindu Ranasinghe, Lancaster University, UK
*
Paul Rayson, Lancaster University, UK
*
Ruslan Mitkov, Lancaster University, UK
*
Mohamed Gaber, Birmingham City University, UK
*
Damith Premasiri, Lancaster University, UK
*
Fiona Anting Tan, National University of Singapore, Singapore
*
Lasitha Uyangodage, University of Münster, Germany
>> Programme Committee
*
Burcu Can - University of Stirling, UK
*
Çağrı Çöltekin - University of Tübingen, Germany
*
Debashish Das - Birmingham City University, UK
*
Alphaeus Dmonte - George Mason University, USA
*
Daan van Esch - Google
*
Ignatius Ezeani - Lancaster University, UK
*
Anna Furtado - University of Galway, Ireland
*
Amal Htait - Aston University, UK
*
Ali Hürriyetoğlu - Wageningen University & Research, Netherlands
*
Danka Jokic - University of Belgrade, Serbia
*
Diptesh Kanojia - University of Surrey, UK
*
Jean Maillard - Meta
*
Maite Melero - Barcelona Supercomputing Centre, Spain
*
Muhidin Mohamed - Aston University, UK
*
Nadeesha Pathirana - Aston University, UK
*
Alistair Plum - University of Luxembourg, Luxembourg
*
Sandaru Seneviratne - Australian National University, Australia
*
Ravi Shekhar - University of Essex, UK
*
Taro Watanabe - Nara Institute of Science and Technology, Japan
*
Phil Weber - Aston University, UK
URL - https://loreslm.github.io/
Twitter - https://x.com/LoResLM2025
Best Regards
Tharindu Ranasinghe