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
Co-located with COLING 2025, VarDial deals with computational methods and language resources for closely related languages, language varieties, and dialects. VarDial will be held on Sunday, January 19th, 2025. https://sites.google.com/view/vardial-2025/home
1. Call for Shared Task Participation
As part of VarDial 2025, we are organizing a shared task on dialect identification and slot and intent detection for Norwegian varieties (NorSID). For further information and instructions for participants, please visit the shared task page:
https://sites.google.com/view/vardial-2025/shared-tasks
Important dates:
- Training and development set release: October 7, 2024
- Test set release: November 4, 2024
- Submissions due: November 15, 2024
- Paper submission deadline: November 25, 2024
- Notification of acceptance: December 5, 2024
- Camera-ready papers due: December 13, 2024
2. Call for Workshop Papers
We welcome papers dealing with one or more of the following topics:
- Corpora, resources, and tools for similar languages, varieties and dialects;
- Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects;
- Evaluation of language resources and tools when applied to language varieties;
- Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.);
- Corpus-driven studies in dialectology and language variation;
- Computational approaches to mutual intelligibility between dialects and similar languages;
- Automatic identification of lexical variation;
- Automatic classification of language varieties;
- Text similarity and adaptation between language varieties;
- Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends);
- Machine translation between closely related languages, language varieties and dialects.
In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects).
Important dates:
- Paper submission deadline: Tuesday, November 5th, 2024
- Notification of acceptance: Monday, November 25th, 2024
- Commitment deadline for pre-reviewed papers: TBD
- Camera-ready papers due: Friday, December 13th, 2024
Detailed submission guidelines available on the COLING 2025 website. All submissions must use the official COLING templates. Contributions must be submitted to Softconf:
https://softconf.com/coling2025/VarDial25/
Further information about submission is available on the workshop site:
https://sites.google.com/view/vardial-2025/call-for-papers
Organizers
Yves Scherrer - University of Oslo (Norway)
Tommi Jauhiainen - University of Helsinki (Finland)
Nikola Ljubešić - Jožef Stefan Institute (Slovenia) and University of Ljubljana (Slovenia)
Preslav Nakov - Mohamed bin Zayed University of Artificial Intelligence (UAE)
Jörg Tiedemann - University of Helsinki (Finland)
Marcos Zampieri - George Mason University (USA)
The Computational Linguistics group (GroNLP) of the Center for Language and Cognition Groningen (CLCG) is looking for a PhD student in “Language technology for cultural heritage: New discoveries with little data” within the HAICu research project. The HAICu project is a large-scale Dutch research project by universities and cultural-heritage institutions into new forms of Artificial Intelligence-based access to multimodal Cultural-Heritage data, both contemporary and historical. Within HAICu, AI researchers, Digital Humanities researchers and a wide range of public and private partners will co-develop scientific solutions to unlock the true societal potential of the current heterogeneous digital heritage collections. It will provide easier, richer and more reliable data access to citizens, journalists, civic organisations, and various other stakeholders.
HAICu is funded by the NWO National Science Agenda (NWA) and has a budget of about EUR 10 million. HAICu has started in January 2024 and will last 6 years (until Jan 2030). For more information about HAICu, please see https://www.haicu.science/
The PhD Project
This specific PhD position is about effectively dealing with missing and sparse labels in humanities datasets such as literature, history, philosophy. Cultural heritage institutions, and especially the National Library of the Netherlands, offer access to a lot of digitized data which can be leveraged through computational approaches. However, it is very common that the data is incomplete. This is a challenge for typical machine learning methods that rely on being fed with representative and complete data, leading to systems that cannot handle distribution shifts or extrapolating beyond their training set.
Recent developments in artificial intelligence have shown that large language models are able to learn from small amounts of training data, or even none at all (few shot and zero shot learning). Paired with more and more accessible techniques for specializing existing models for target domains and tasks, a lot of new possibilities open up for cultural heritage data, which will be explored within this project. Examples of possible topics include
- Investigating literary reception and prestige over time.
- Detecting and mapping intertextuality within texts.
- Uncovering the influences and biases over time in datasets.
- Monitoring the evolution of concepts in textual datasets.
- Improving the robustness of models to out-of-distribution data.
The project will, in collaboration with the National Library of The Netherlands, be coordinated by Andreas van Cranenburgh, Tommaso Caselli, and Malvina Nissim at the University of Groningen. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP) and the humanities.
You will be asked to
- Develop a specific research proposal within the proposed theme.
- Review the academic literature relevant to the project’s goals.
- Carry out research, present your results and author scientific articles on the above mentioned topics.
- Collaborate with members of the Computational Linguistics group at the University of Groningen, the National Library, and with the broader Haicu consortium.
- Engage and collaborate with other researchers working on computational humanities research.
- Complete a PhD thesis written in English in the specified timeframe (4 years).
- Collaborate on outreach and public engagement activities.
- Gain teaching experience.
This PhD project offers a unique opportunity to work in an international environment and to acquire valuable research experience: You will be carrying out research in the context of the Computational Linguistics group of the Center for Language and Cognition (CLCG) of the University of Groningen, and will be spending at least one day a month at the National Library in The Hague.
For more information, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…
[apologies if you receive multiple copies of this call]
CALL FOR PARTICIPATION - SemEval 2025 Task 8: Question Answering on Tabular
Data
We are pleased to announce the first SemEval task on Question Answering on
Tabular Data.
Our SemEval 2025 task consists of Question Answering over Tabular Data
making use of the DataBench benchmark. DataBench is a benchmark composed of
real-world table datasets from different domains and with large size of
rows and columns, as well as a wide variety of data types that allow to
assess distinct sort of questions related to each data type.
We propose a task to encourage participants to develop a system that
answers the questions of the kind present in DataBench over day-to-day
datasets, where the answer is either a number, a categorical value, a
boolean value or lists of several types. DataBench can be used as a
training and validation set, while we will release another test set
explicitly compiled for the task competition.
The system developed by the participants will be provided by a series of
(dataset, question) pairs and will need to provide an answer which would
then be compared with a gold standard.
The answer might be achieved through a variety of methods. In our paper we
illustrate two different approaches: In-Context Learning and Code
Generation. You may use any of these or come up with your own approach.
There will be two subtasks:
Subtask I : DataBench QA
Participants will be provided with a dataset (of any size) and a question
over it. The question should be answered using the data from the dataset
only.
Subtask II: DataBench Lite QA
The task is essentially the same as the previous subtask, but involves
using the sampled version of each dataset with a maximum of 20 rows per
dataset (see explanation on DataBench Lite). The question should be
answered using the data from the sampled dataset only. For the test set, we
will similarly provide a reduced version of each dataset for this subtask.
This task is especially relevant when testing for models with a smaller
window size.
Important Dates
Official Competition start 10 January 2025
Competition end 31 January 2025
Task Organizers
Jorge Osés Grijalba - Graphext
L. Alfonso Ureña-López and Eugenio Martínez Cámara - University of Jaén
Jose Camacho-Collados - Cardiff University
Competition website: https://jorses.github.io/semeval/
Codabench: https://www.codabench.org/competitions/3360/
Google Group: https://groups.google.com/g/semeval-25-t8-tabularqa
--
Suelo trabajar a deshoras por lo que este correo puede haberte llegado
fuera de tu horario laboral, y al cual puedes responder en el momento que
mejor se ajuste a tus hábitos de trabajo. | I sometimes work at irregular
times and this email might arrive out of working hours so please be assured
that I respect your working pattern and look forward to your response when
it suits you.
-------
Eugenio Martínez Cámara.
Vicepresidente de la SEPLN <http://www.sepln.org/> | Vice President of the
SEPLN <http://www.sepln.org/en>.
Investigador en Proc. del Lenguaje Natural | Postdoctoral Researcher in
Natural Language Proc.
Grupo de Investigación SINAI <http://sinai.ujaen.es/> | SINAI
<http://sinai.ujaen.es/> Research Group.
Profesor Titular | Associate Professor.
Dpto. de Informática | Computer Science Department.
Universidad de Jaén.
Dear Colleagues,
We are delighted to announce the second CfP for The First Workshop of Evaluation of Multi-Modal Generation @ COLING 2025. It is now open and closes on 20th November 2024 (11:59PM AoE UTC-12).
Website link: https://evalmg.github.io/
The 1st Evaluation of Multi-Modal Generation Workshop @ COLING 2025
----------------------------------------------------------------------------------------------------------
Multimodal generation techniques have opened new avenues for creative content generation. However, evaluating the quality of multimodal generation remains underexplored and some key questions are unanswered, such as the contributions of each modal, the utility of pre-trained large language models for multimodal generation, and measuring faithfulness and fairness in multimodal outputs. This workshop aims to foster discussions and research efforts by bringing together researchers and practitioners in natural language processing, computer vision, and multimodal AI. Our goal is to establish evaluation methods for multimodal research and advance research efforts in this direction.
Call for Papers
----------------------
Both long paper and short papers (up to 8 pages and 4 pages respectively with unlimited references and appendices) are welcomed for submission.
A list of topics relevant to this workshop (but not limited to):
- Evaluation metrics for multimodal text generation for assessing informativeness, factuality and faithfulness
- New benchmark datasets, evaluation protocols and annotations
- Challenges in evaluating multimodal coherence, relevance and contribution of modalities and inter- and intra-interactions
- Assessing information integration and aggregation across multiple modalities
- Adversarial evaluation approaches for testing the robustness and reliability of multimodal generation systems
- Ethical considerations in the evaluation of multimodal text generation, including bias detection and mitigation strategies
- Multilingual multimodal text generation systems for low-resource languages
- Evaluating fairness and privacy in multimodal learning and applications
Important Dates
---------------------------
- Nov 20, 2024: Paper submission due date
- Dec 05, 2024: Notification of acceptance
- Dec 11, 2024: Camera-ready version due
- Jan 20, 2025: Workshop Date
Note: All deadlines are 11:59PM UTC-12:00 (“Anywhere on Earth”)
Submission Instructions
-------------------------------------
You are invited to submit your papers in our START/SoftConf submission portal. All the submitted papers have to be anonymous for double-blind review. The content of the paper should not be longer than 8 pages for long papers and 4 pages for short papers, strictly following the COLING 2025 templates, with the mandatory limitation section not counting towards the page limit. Supplementary and appendices (either as separate files or appended after the main submission) are allowed. We encourage code link submissions for reproducibility.
Submission Link: https://softconf.com/coling2025/EvalMG25
ACL style template: https://coling2025.org/calls/submission_guidlines/
Non-archival Option
-------------------------------
To promote discussions within the community, our workshop includes non-archival track. Authors have the flexbility to submit their unpublished work or papers accepted to COLING main conference to our workshop. The organisers may offer the opportunity to give oral or poster presentation.
Organisers
-------------------------------
* Wei Emma Zhang, The University of Adelaide
* Xiang Dai, CSIRO
* Desmond Elliot, University of Copenhagen
* Byron Fang, CSIRO
* Haojie Zhuang, The University of Adelaide
* Mong Yuan Sim, The University of Adelaide & CSIRO
* Weitong Chen, The University of Adelaide
Kind regards,
COLING25 EvalMG Organisers
ComputEL-8: Eighth Workshop on the Use of Computational Methods in the
Study of Endangered Languages
FINAL CALL FOR PAPERS for REGULAR SESSION (and SPECIAL SESSION)
Submission deadline (POSTPONED): October 14, 2024
Submission link: https://easychair.org/conferences/?conf=computel8
REGULAR SESSION
(For details about Special Session, scroll further below.)
We encourage submissions that explore the interface and intersection of
computational linguistics, documentary linguistics, and community-based
efforts in language revitalization and reclamation. This includes
submissions that:
(i) propose or demonstrate new methods or technologies for tasks or
applications focused on low-resource settings, and in particular,
endangered languages
(ii) examine the use of specific methods in the analysis of data from
low-resource languages, or propose new methods for analysis of such
data, oriented toward the goals of language reclamation and revitalization
(iii) propose new models for the collection, management, and
mobilization of language data in community settings, with attention to
e.g. issues of data sovereignty and community protocols
(iv) explore concrete steps for a more fruitful interaction among
computer scientists, documentary linguists, and language communities
IMPORTANT DATES
14-Oct-2024 Deadline for submission of papers or extended abstracts
22-Nov-2024 Notification of Acceptance
10-Jan-2025 Camera-ready papers due
4 & 5 March 2025 Workshop
PRESENTATIONS
Presentation of accepted papers will be in both oral sessions and a
poster session. The decision on whether a presentation for a paper will
be oral and/or poster will be made by the Organizing Committee on the
advice of the Program Committee, taking into account the subject matter
and how the content might be best conveyed. Oral and poster
presentations will not be distinguished in the Proceedings.
SUBMISSIONS
In line with our goal of reaching multiple overlapping communities, we
offer two modes of submission: extended abstract and full paper. The
mode of submission does not influence the likelihood of acceptance.
Either can be submitted to one of the workshop’s tracks: (a) language
community perspective and (b) academic perspective.
Submissions must be uploaded to EasyChair
(https://easychair.org/conferences/?conf=computel8) no later than
October 14, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may
be considered for both the regular session and the special session.
All submissions must be anonymous following ACL guidelines and will be
peer-reviewed by the scientific Program Committee.
A. Extended Abstract:
Please submit anonymous abstracts of up to 1500 words, excluding
references. Extended abstracts must be submitted as attached documents.
B. Full Paper:
Please submit anonymously either a) a long paper - max. 8 pages
excluding references and appendices; or b) a short paper - max. 4 pages
excluding references, according to the style and formatting guidelines
provided in by ACL Style Files (download template files for LaTeX or
Microsoft Word: https://github.com/acl-org/acl-style-files).
PROCEEDINGS
The authors of selected accepted full papers (long or short) will be
invited by the Organizing Committee to submit their papers for online
publication via the open-access ACL Anthology. Final versions of long
and short papers will be allotted one additional page (altogether 5 and
9 pages) excluding references.
Proceedings papers should be revised and improved versions of the work
that was submitted for, and which underwent, review. Any revisions
should concern responses to reviewer comments or the addition of
relevant details and clarifications, but not entirely new, unreviewed
content. Camera-ready versions of the articles for publication will be
due on January 10, 2025.
Please see the ComputEL-8 website for further information:
https://computel-workshop.org/computel-8/
SPECIAL THEME SESSION - BUILDING TOOLS TOGETHER
In addition to the main session, ComputEL-8 invites self-identified
submissions to a special themed session on “Building Tools Together”,
oriented toward amplifying our shared understanding of how best to work
together across disciplinary and cultural boundaries to build
technological tools that support community language revitalization.
We invite presentations that: (1) describe collaborations in the
development of new tools and technologies; and/or (2) describe or
identify technological or computational needs within community language
reclamation contexts, and/or propose solutions.
1. For presentations that describe a collaboration among language
communities, academic researchers, and (in some cases) industry or
non-governmental organizations towards the development of new tools,
resources, and technologies in, we encourage submissions which address
questions such as:
a. How did the idea for the tool or technology come about?
b. How did the team members meet and come to work together?
c. What has been the impact of this tool? How are you evaluating it? How
has the project d. benefitted community efforts at language maintenance
and revitalization?
d. What are some challenges (logistical, technical, interdisciplinary,
intercultural) that you encountered, and how did you address them?
e. How have you balanced the needs and priorities of different team
members through the lifespan of the project?
f. What lessons have you learned that might benefit similar collaborations?
2. For presentations that identify technological or computational needs
within community language reclamation contexts, and/or propose
solutions, e we encourage submissions which address questions such as:
a. What is the need that this tool would meet? Who will it serve?
b. What is the blue-sky version of this tool? What is the minimum viable
product version?
c. What kinds of data, digital assets, or media content would be
required to create the tool, and how would they be assembled?
d. What challenges might the team face in the development process?
e. How do you anticipate the collaborative process to best incorporate
diverse areas of expertise from cultural and community-grounded
knowledge to academic, technical, and production-oriented knowledge?
Please submit anonymous extended abstracts of up to 1500 words,
excluding references.
Submissions representing community-led collaborations are strongly
encouraged.
Submissions must be uploaded to EasyChair
(https://easychair.org/conferences/?conf=computel8) no later than
October 14, 2024 11:59PM (UTC-12, “anywhere on earth”). Submissions may
be considered for both the regular session and the special session.
Notification of acceptance to the Special Session will be sent out by
November 22, 2024.
All authors of papers in the Special Theme Session will be invited to
contribute to a follow-up paper that synthesizes the findings of the
Session.
IMPORTANT DATES
14-Oct-2024 Deadline for submission of papers or extended abstracts
22-Nov-2024 Notification of Acceptance
10-Jan-2025 Camera-ready papers due
4 & 5 March 2025 Workshop
Please see the ComputEL-8 website for further information:
https://computel-workshop.org/special-theme-session-building-tools-together/
ORGANIZING COMMITTEE
Godfred Agyapong (University of Florida)
Antti Arppe (University of Alberta)
Aditi Chaudhary (Google DeepMind)
Jordan Lachler (University of Alberta)
Sarah Moeller (University of Florida)
Shruti Rijhwani (Google DeepMind)
Daisy Rosenblum (University of British Columbia)
Olivia Waring (University of Hawai'i Mānoa)
CONTACT US
WEB: https://computel-workshop.org/ComputEL-8/
EMAIL: computel.workshop(a)gmail.com
--
======================================================================
Antti Arppe - Ph.D (General Linguistics), M.Sc. (Engineering)
Professor of Quantitative Linguistics
Director, Alberta Language Technology Lab (ALTLab)
Project Director, 21st Century Tools for Indigenous Languages (21C)
Past President, ACL SIG for Endangered Languages (SIGEL)
Department of Linguistics, University of Alberta
E-mail: arppe(a)ualberta.ca, antti.arppe(a)iki.fi
WWW: www.ualberta.ca/~arppe, altlab.artsrn.ualberta.ca
Mānahtu ina rēdûti ihza ummânūti ihannaq - dulum ugulak úmun ingul
----------------------------------------------------------------------