We invite proposals for tasks to be run as part of RANLP 2025 (Recent Advances in Natural Language Processing): https://ranlp.org/ranlp2025/.<https://ranlp.org/ranlp2025/>
RANLP is one of the most influential and competitive NLP conferences. RANLP 2025 will take place in September 2025 at the Black Sea city of Varna. For the first time in RANLP history, we are organising a shared task campaign as part of the main conference and inviting task organisers to submit their task proposals. Researchers and practitioners from all areas of Natural Language Processing and related communities are invited to submit task proposals.
For RANLP 2025, we welcome any task that can evaluate an automatic system for natural language processing. We especially encourage tasks for languages other than English, multi-lingual tasks, and tasks that develop novel applications of natural language processing.
We strongly encourage proposals based on already published datasets, as this can provide concrete examples and help minimise the challenges of organising the shared task. In the event of receiving many proposals, preference will be given to proposals based on already published datasets.
If you are unsure whether a task is suitable, please contact the shared task chairs to discuss your idea.
Task Selection
Task proposals will be reviewed by at least two reviewers, and the reviews will serve as the basis for acceptance decisions. Task proposals will be evaluated on:
*
Novelty - Is the task based on a new problem that has not been explored much in the community? If similar tasks have been organised before, does this task cover new languages/ domains?
* Data – Is the data available and published already? Do annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for the use and re-use of the data been secured?
* Evaluation—Is the evaluation methodology sound? Is there an automated platform for the evaluation (e.g., CodaLab, Kaggle)?
Task Organisation
We specifically welcome task proposals from early career researchers. However, we strongly encourage tasks that have a diverse team of organisers as that will ease the task organisation. Apart from providing a dataset, task organisers are expected to:
1. Verify data quality in terms of annotator agreement.
2. Verify licenses for the data to allow its use in the competition.
3. Provide task participants with baseline systems.
4. Create a CodaLab or other similar evaluation platform for the task and manage automatic evaluation.
5. Promote the task within the target research community.
6. Manage and organise review process of participants’ submissions of system description papers.
7. Write a task description paper to be included in RANLP proceedings.
8. Contribute to the tasks overview paper written by shared task chairs and other task organisers which will also be included in RANLP proceedings.
9. Register and present the shared task description paper at RANLP 2025 on either 11th or 12th September 2025 (the exact date will be confirmed later)
Important Dates
* Task proposals due - October 28, 2024
* Task selection notification – November 4, 2024
Recommended Timeline for the Tasks
* Sample data and task website ready - November 15, 2024
* Training data ready - December 15, 2024
* Evaluation data ready - March 1, 2025
* Evaluation starts – March 10, 2025
* Evaluation end - March 31, 2025 (latest date; task organisers may choose an earlier date)
* Paper submission due – April 20, 2025
* Notification to authors – May 16, 2025
* Task overview paper due – May 25, 2025
* Camera-ready due - May 31, 2025
* Shared task presentation co-located with RANLP 2025 – September 11 and September 12, 2025
Tasks that do not meet critical deadlines such as those for launching the task, setting up the CodaLab website, and uploading samples, training, and evaluation data may be cancelled at the discretion of the shared task chairs.
Submission Details
The task proposal should be a self-contained document of no longer than 2 pages (plus additional pages for references). All submissions must be in PDF format, following the RANLP 2023 template available at https://ranlp.org/ranlp2023/index.php/submissions/
Each proposal should contain the following:
* Overview
* Summary of the task – What is the goal of the task
* Expected number of participants and justification
* Data & Resources
* How the training/testing data will be produced. Discuss whether the dataset is already published
* Details of license, so that the data can be used by the research community
* How much data will be produced
* How data quality will be ensured and evaluated
* An example of what the data would look like
* Evaluation
* The evaluation methodology to be used, including clear evaluation criteria -
* The evaluation platform (i.e. CodaLab, Kaggle etc.)
* Task organisers
* Names, affiliations, email addresses
* brief description of relevant experience or expertise
The submissions should be done via START - https://softconf.com/ranlp25/papers/user/scmd.cgi?scmd=submitPaperCustom&pa…
Proceedings
Tasks overview paper, task description papers and participant papers will be published as part of RANLP 2025 proceedings in ACLAnthology. Task organisers and participants are expected to attend RANLP 2025 on September 11 and September 12, 2025, and present their work in order to include it in the proceedings.
Shared Task Chairs
Dr Tharindu Ranasinghe, Lancaster University, UK
Dr Saad Ezzini, Lancaster University, UK
RANLP 2024 Chairs
Programme Committee Chair: Prof Dr Ruslan Mitkov, Lancaster University, UK
Organising Committee Chair: Prof Dr Galia Angelova, Bulgarian Academy of Sciences, Bulgaria
Best Regards
Dr Tharindu Ranasinghe
School of Computing and Communications | Lancaster University
Open Advanced methods in corpus linguistics research group.
The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers an online fortnightly research group for current and prospective students, early career as well as senior researchers led by Prof. Vaclav Brezina. The focus this term is on the #LancsBox tool<https://lancsbox.lancs.ac.uk/> and statistical analyses.
For the first time, we are making the research group open to students and researchers outside of Lancaster University (prospective MA/PhD students, researchers and educators) via MS Teams links.
Register for free: https://forms.office.com/e/YT5md2fjka
Professor Vaclav Brezina
Professor in Corpus Linguistics
Department of Linguistics and English Language
ESRC Centre for Corpus Approaches to Social Science
Faculty of Arts and Social Sciences, Lancaster University
Lancaster, LA1 4YD
Office: County South, room C05
T: +44 (0)1524 510828
[cid:image001.jpg@01DB1993.CE61E290]@vaclavbrezina
[cid:image002.jpg@01DB1993.CE61E290]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>
====================================================================
CFP II Andaluz.IA Forum
December 20, 2024, Antigua Escuela de Magisterio (Universidad de Jaén)
====================================================================
From ten Andalusian universities and the Joint Research Centre of the
European Commission 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
<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/>
[ Apologies for crossposting ]
*Global WordNet Conference 2025 - GWC2025*
The Global Wordnet Association is delighted to announce the *13th
International Global Wordnet Conference* (GWC2025), to be held in *Pavia
(Italy) from 27 to 31 January, 2025*. The GWC2025 conference will be hosted
by the Department of Humanities, at the University of Pavia.
📍*Dates*: 27-Jan-2025 - 31-Jan-2025
*Location*: Pavia, Italy
*Meeting Email*: gwc2025pavia(a)unipv.it
*Web Site*: https://unipv-larl.github.io/GWC2025/
🗓️ *New Paper Submission Deadline: October 14, 2024*
We invite submissions of original research contributions addressing, though
not limited to, the topics listed below. *Presentations of new WordNets *will
be assigned to a dedicated panel. Additionally, proposals for tutorials and
demonstrations or panel discussions on *WordNet for ancient languages* are
encouraged.
Conference topics:
- Lexical semantics and meaning representation;
- Architecture of lexical databases;
- Tools and methods for WordNet development;
- Applications of WordNet;
- Standardization, distribution and availability of WordNet and WordNet
tools
See the full call for papers here: https://easychair.org/cfp/gwc2025
UMRs in Boston Summer School – 1st Call for Applications
June 9-13, 2025
Brandeis University, Massachusetts, USA
We invite applications for a five-day summer school on Uniform Meaning Representations (UMR).
Impressive progress has been made in many aspects of natural language processing (NLP) in recent years. Most notably, the achievements of transformer-based large language models such as ChatGPT would seem to obviate the need for any type of semantic representation beyond what can be encoded as contextualized word embeddings of surface text. Advances have been particularly notable in areas where large training data sets exist, and it is advantageous to build an end-to-end training architecture without resorting to intermediate representations. For any truly interactive NLP applications, however, a more complete understanding of the information conveyed by each sentence is needed to advance the state of the art. Here, "understanding'' entails the use of some form of meaning representation. NLP techniques that can accurately capture the required elements of the meaning of each utterance in a formal representation are critical to making progress in these areas and have long been a central goal of the field. As with end-to-end NLP applications, the dominant approach for deriving meaning representations from raw textual data is through the use of machine learning and appropriate training data. This allows the development of systems that can assign appropriate meaning representations to previously unseen text.
In this five-day course, instructors from the University of Colorado and Brandeis University will describe the framework of Uniform Meaning Representations (UMRs), a recent cross-lingual, multi-sentence incarnation of Abstract Meaning Representations (AMRs), that addresses these issues and comprises such a transformative representation. Incorporating Named Entity tagging, discourse relations, intra-sentential coreference, negation and modality, and the popular PropBank-style predicate argument structures with semantic role labels into a single directed acyclic graph structure, UMR builds on AMR and keeps the essential characteristics of AMR while making it cross-lingual and extending it to be a document-level representation. It also adds aspect, multi-sentence coreference and temporal relations, and scope. Each day will include lectures and hands-on practice.
Topics to be covered may include the following, among others:
1. The basic structural representation of UMR and its application to multiple languages;
2. How UMR encodes different types of MWE (multi-word expressions), discourse and temporal relations, and TAM (tense-aspect-modality) information in multiple languages, and differences between AMR and UMR;
3. Going from IGT (interlinear glossed text) to UMR graphs semi-automatically;
4. Formal semantic interpretation of UMR incorporating a continuation-based semantics for scope phenomena involving modality, negation, and quantification;
5. Extension to UMR for encoding gesture in multimodal dialogue, Gesture AMR (GAMR), which aligns with speech-based UMR to account for situated grounding in dialogue.
6. UMR parsing and applications
To apply, please complete this form by Nov. 15, 2024.
https://www.colorado.edu/linguistics/umrs-boston-summer-school-application
Other important dates:
● Notification of acceptance: Dec. 15, 2024
● Confirmation of participation: Jan. 31, 2025
Participation will be fully funded (reasonable airfare, lodging, and meals). This summer school has been made possible by funding from NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), with additional support from Brandeis University.
The School of Information (iSchool) at The University of Texas at Austin
(UT Austin) seeks to hire up to two tenure-track faculty in Building
Human-Centered, Ethical, and Responsible AI Systems
<https://apply.interfolio.com/156609>, with positions starting in Fall
2025. Application review and scheduling of initial zoom interviews will
begin on November 1, 2024. The last day to apply is December 1, 2024.
Questions about this faculty search should be directed to
facultysearch(a)ischool.utexas.edu.
Please see the job link above for full details, but below is an extract
from it regarding the topic of the search.
*Building AI Systems*
We seek candidates who investigate human-centered artificial intelligence
(AI) systems through designing, building, and technically evaluating such
systems. Our call is intended to be broadly inclusive of the range of AI
subdisciplines and areas such as (but not limited to): machine learning
(ML), natural language processing (NLP), computer vision (CV), and
generative AI and large language models (LLMs), etc. Candidates should
develop AI systems in their research that advance support for human work or
activities, e.g., by augmenting and amplifying the capabilities of
individuals or groups of people.
*Research directions in this area may include (but are not limited to)*:
- Innovative methods and applications that integrate AI with human
computation
- Complementary human-AI teaming and supportive workflow design
- Human-in-the-loop decision-making and decision-support
- AI-assisted data annotation
- Accelerating and improving human-centered AI evaluation protocols
- Imagining other novel forms of human-AI partnerships
*Potential outcomes of such research may include (but are not limited to)*:
- Advancing fundamental understanding of the nature and range of
human-AI partnerships, as well as how best to design, build, and evaluate
them
- Investigating potential productivity benefits, such as the speed,
scale, quality, and/or economics of human labor with vs. without
AI-augmentation
- Advancing ethical and responsible design for system users, AI
supply-chain workers, and/or society at-large around issues such as:
trustworthiness and reliability; transparency and interpretability;
fairness and social justice (for both AI users and workers); and
accountability and algorithmic recourse
- Protecting private and sensitive data; the information environment and
information integrity; human safety, health, and wellbeing; and the
environment, via sustainable, green computing
We look forward to your application!
--
*MATT LEASE (he/him) *
Professor | School of Information
Co-Director | NSF-Simons AI Institute for Cosmic Origins
<https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-…>
Leadership Team | UT Good Systems <http://goodsystems.utexas.edu/> (Responsible
AI Initiative)
Principal Investigator | Protecting Information Integrity
<https://goodsystems.utexas.edu/information-integrity>
*The University of Texas at Austin*
p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA
<https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/>
5.536
mattlease.com | X @mattlease <https://x.com/mattlease>
Dear colleagues
We are pleased to announce that the International Corpus Linguistics Conference 2025 (CL2025) - co-organised by Aston University, Birmingham City University, and the University of Birmingham - will take place from Tuesday 1st - Friday 4th July 2025 at Aston University<https://www.aston.ac.uk/>, preceded by a workshop day on Monday 30th June.
The call for papers is now live on the CL2025 conference website: https://www.cl2025.co.uk/call-for-papers
CL2025 welcomes submissions for paper presentations, poster presentations, thematic panels, and pre-conference workshops that engage in some way with the tools, methods, and techniques of corpus linguistics.
KEY DATES
* Submission deadline: 17th January 2025
* Notification of acceptance: 28th February 2025
* Early bird registration deadline: 2nd May 2025
* Conference dates: 1st - 4th July 2025
PLENARY SPEAKERS
* Laurence Anthony (Waseda University, Japan)
* Gavin Brookes (Lancaster University, UK)
* Elizabeth Hanks (Northern Arizona University, USA)
* Pascual Pérez-Paredes (University of Murcia, Spain)
* Anna Marchi (University of Bologna, Italy) & Charlotte Taylor (University of Sussex, UK)
For further information, please visit the conference website at www.cl2025.co.uk<http://www.cl2025.co.uk> or write to the CL2025 organising committee at corpuslinguistics2025(a)gmail.com<mailto:corpuslinguistics2025@gmail.com>.
Best wishes
Robbie Love
On behalf of the CL2025 Organising Committee:
Matt Gee (Birmingham City University), Andrew Kehoe (Birmingham City University), Joyce Lim (Aston University), Robbie Love (Aston University), Mark McGlashan (University of Liverpool), Akira Murakami (University of Birmingham), Paul Thompson (University of Birmingham)
Dr Robbie Love (he/him) BA (Hons), ma, phd, cdls, fhea
Senior Lecturer in English Language and Linguistics
Programme Development Lead
Department of English, Languages and Applied Linguistics
School of Law and Social Sciences
Aston University, Birmingham, UK
[Aston University]
Newsletter Editor, British Association for Applied Linguistics (BAAL)<https://www.baal.org.uk/>
Communications Officer, BAAL Corpus Linguistics Special Interest Group<https://baal-clsig.weebly.com/>
Organising Committee, Corpus Linguistics Conference 2025<https://www.cl2025.co.uk/>
Research profile: research.aston.ac.uk/en/persons/robbie-love<https://research.aston.ac.uk/en/persons/robbie-love>
Website: robbielove.org/<https://robbielove.org/>
***Apologies for cross-postings***
At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab,
https://www.texttechnologylab.org/), Department of Computer Science and
Mathematics at Goethe University Frankfurt, *one permanent position* for a
*Administrative Employee (m/f/d)
(E 8 TV-G-U, 50% part-time)*
is available *at the next possible date*. The salary group
classification is based on the job characteristics determined by the
collective labour agreement in effect for the Goethe University (TV-G-U).
The duties of this secretarial position include in particular the
organization and support of the professorship and its staff in all
administrative tasks. These result from their teaching, research and
self-administration activities. This includes in particular:
* Communication between students, the professorship and the
administration, scheduling and room management, support for
(teaching) events, processing and control of order and payment
transactions as well as administration of personal, material and
financial data.
* Planning and administration of budget and third-party funds for the
professorship.
* Administrative organization and support of events (e.g. guest
lectures, colloquiums, conferences) and business trips.
* Communication with external partners from research and industry.
* Maintenance of the professorships’ websites and completion of
entries in the Goethe University LSF system.
Requirements
* Completed training in the administrative or commercial field, or
comparable knowledge.
* Ability to work in a team, to work independently, and interest in
new tasks.
* Very good communication skills, flexible and reliable customer- and
service-oriented work, competent work organization, engaging and
confident appearance.
* Very good knowledge of Word / Excel / Power Point.
* Good written and spoken English skills.
If you are interested, please send your application *by 15.10.2024* with
the usual documents in a PDF to Prof. Dr. Alexander Mehler:
mehler(a)em.uni-frankfurt.de.
--
------------------------------------------------------------------------
Giuseppe Abrami
Text-Technology Lab
Fakultät für Informatik und Mathematik
Goethe-Universität Frankfurt
Robert-Mayer-Strasse 10
4. Stock (Texttechnologie)
60325 Frankfurt am Main
Postfach: 154
Tel: +49 69-798-28926
Fax: +49 69-798-28931
Mail: abrami(a)em.uni-frankfurt.de
Web: http://www.texttechnologylab.org
We have two open positions (start ASAP) here at my group at BSC:
Data science and AI expert on NLP
- Position 1: https://www.bsc.es/join-us/job-opportunities/67024lsnlpre2
<https://lnkd.in/dtBKEN9P>
- Position 2: https://www.bsc.es/join-us/job-opportunities/66924lsnlpre2
<https://lnkd.in/dYBDVTqP>
*Context And Mission:*
The Natural Language Processing for Biomedical Information Analysis
(NLP4BIA) group at BSC is an internationally renowned research group
working on the development of NLP, language technology, and text mining
solutions applied primarily to biomedical and clinical data. It is a highly
interdisciplinary team, funded through competitive European and National
projects requiring the implementation of natural language processing and
advanced AI solutions making use of diverse technologies, including
Transformers and recent advances in Large Language Models (LLM) to improve
healthcare data analysis.
The NLP4BIA-BSC is looking for a Research Engineer with experience in
Language Technologies and Deep Learning. The candidate will be involved in
technical work related to international projects, being part of a team of
researchers working on topics related to clinical Language Models,
multilingual NLP, benchmarking of language technology solutions and
predictive content mining. The candidate will have the opportunity to
advance the state of the art of biomedical language models and NLP methods
working in a multidisciplinary environment alongside AI experts,
computational linguists, clinical experts, and other engineers.
*DUTIES*:
- Predictive NLP model development: Development of advance content
mining predictive solutions including clinical NLP, automatic text
classification
- Pre-training of medical language models for healthcare application
scenarios and tasks.
- Technical project coordination: Coordinate technical contributions
inside the team and with clinical hospital site project collaborators.
- Implementation and deployment of clinical NLP solutions: Collaborate
in the implementation and technical deployment of NLP platform prototypes
at clinical sites.
- Documentation and Reporting: Contribute to technical reports and
project documentation
*REQUIREMENTS*
*Education*:
University degree in Computer Science, Computational Linguistic, or
engineering discipline. Candidates with a minimum of a master's degree will
be considered.
*Essential Knowledge and Professional Experience:*
- Demonstrated experience in Natural Language Processing technologies
- Experience in developing and training models using transformer
architectures.
- Practical experience with deep learning libraries (e.g. Pytorch,
TensorFlow, Spacy, Transformers…)
- Knowledge of deep learning methods for pre-training large language
models using transformer architectures (like BERT, RoBERTA, DeBERTA, GPT,
Bloom) as well as learning to implement LLMs.
- Advanced programming skills in Python.
- Experience in software development resources (Git)
=======================================
Martin Krallinger, Dr.
Head of NLP for Biomedical Information Analysis Unit
Barcelona Supercomputing Center (BSC-CNS)
https://www.linkedin.com/in/martin-krallinger-85495920/
=======================================
Dear all,
We’re happy to invite you to participate and submit papers to our new workshop “Automatic Assessment of Atypical Speech (AAAS)” that has been accepted to a full day workshop in March 5, 2025 in Tallinn within the NoDaLiDa/Baltic-HLT conference.
The papers can be short (4p + ref) or long (8p + ref) as in the main conference.
Submission DL 16 Dec, 2024.
Please also consider volunteering to review 2-3 papers.
For details visit the workshop page: https://teflon.aalto.fi/aaas-2025/
and the main conference page: https://www.nodalida-bhlt2025.eu/
Best regards,
Mikko Kurimo (chair) and the organizing committee