*******************************************************
EAMT 2024: The 25th Annual Conference of
The European Association for Machine Translation
24 - 27 June 2024
Sheffield, UK
https://eamt2024.sheffield.ac.uk/
@eamt2024 (X account)
Tutorial proposal deadline: 08 March 2024
Tutorial date: 27 June 2024
More information:
https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers
*******************************************************
*** Overview ***
The European Association for Machine Translation (EAMT) invites proposals
for tutorials to be held in conjunction with the EAMT 2024 conference
taking place in Sheffield, UK, from 24 to 27 June, with tutorials held on
27 June. We seek proposals in all areas of machine translation (see the
call for papers of the main conference for the focus areas of EAMT 2024).
The aim of a tutorial is primarily to help the audience develop an
understanding of particular technical, applied, and business matters
related to research, development, and use of MT and translation technology.
Presentations of particular technological solutions or systems are welcome,
provided that they serve as illustrations of broader scientific
considerations.
We recommend that the tutorial covers work by the presenters as well as by
other researchers. The submission should explain that this breadth is
ensured. Tutorials should not be “self-invited talks”.
*** Submission Details ***
Proposals should not exceed 4 pages of content (plus unlimited pages for
references), should be in PDF format, and should contain the following:
- A title and authors, affiliations, and contact information.
- A brief description of the tutorial content and its relevance to the
machine translation community.
- Short description of the target audience and any expected prerequisite
background the audience should be aware of.
- An outline of the tutorial structure content and how it will be covered
in a three-hour slot (half-day). In exceptional cases, six-hour tutorial
slots (full day) are available. These time limits do not include coffee
breaks, e.g., a three-hour tutorial, in fact, occupies a 3.5-hour slot, and
a six-hour tutorial occupies a 7-hour slot.
- Diversity considerations, e.g. use of multilingual data, indications of
how the described methods scale up to various languages or domains,
participation of both senior and junior instructors, demographic and
geographical diversity of the instructors, plans for how to diversify
audience participation, etc.
- Reading list. Work that you expect the audience to read before the
tutorial can be indicated by an asterisk. Recommended papers should provide
the breadth of authorship and include work by other authors, and work from
other disciplines is welcome if relevant.
- For each tutorial presenter, a one-paragraph statement of their research
interests and areas of expertise for the tutorial topic, as well as
experience in instructing an international audience.
An estimate of the audience size for the tutorial. If the same or a similar
tutorial has been given before, include information on where any previous
version of the tutorial was given and how many attendees the tutorial
attracted.
- A description of special requirements for technical equipment.
Tutorial proposals should be submitted as PDF files to OpenReview:
https://openreview.net/group?id=EAMT.org/2024/Tutorials_Track.
Submissions should be formatted according to the templates specified below.
Anonymisation is not required. Submissions should be no longer than 4 pages
(excluding references).
*** Templates for writing your proposal ***
There templates available in the following formats (check our website --
https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers):
- LaTeX
- Cloneable Overleaf template
- Word
- Libre Office/Open Office
- PDF
*** Evaluation Criteria ***
Each tutorial proposal will be evaluated according to its clarity and
preparedness, novelty or timely character of the topic, and instructors’
experience.
** Tutorial Instructor Responsibilities ***
Accepted tutorial presenters will be notified by 8 April 2024. They must
then provide abstracts of their tutorials for inclusion in the conference
registration material by the specific conference deadlines. The description
should be in two formats: (a) an ASCII version that can be included in
email announcements and published on the conference website, and (b) a PDF
version for inclusion in the electronic proceedings (detailed instructions
will be provided). Tutorial speakers must provide tutorial materials by 15
May 2024. The final submitted tutorial materials must minimally include
copies of the course slides and a bibliography for the material covered in
the tutorial.
For each tutorial being held at EAMT 2024, we offer free registration to
the conference for one tutor only.
*** Important Dates ***
- Submission deadline for tutorial proposals: 8 March 2024
- Notification of acceptance: 8 April 2024
- Tutorial slides + abstract + bibliography + any other materials: 15 May
2024
All deadlines are at 23:59 CEST.
*** Workshop Co-Chairs ***
Mary Nurminen (Tampere University)
Diptesh Kanojia (University of Surrey)
*** Local organising committee ***
Carolina Scarton (University of Sheffield)
Charlotte Prescott (ZOO Digital)
Chris Bayliss (ZOO Digital)
Chris Oakley (ZOO Digital)
Xingyi Song (University of Sheffield)
--
*Carolina Scarton*
Lecturer in Natural Language Processing
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
*******************************************************
EAMT 2024: The 25th Annual Conference of
The European Association for Machine Translation
24 - 27 June 2024
Sheffield, UK
https://eamt2024.sheffield.ac.uk/
@eamt2024 (X account)
Paper submission deadline: 08 March 2024
More information:
https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers
*******************************************************
*******************************************************
EAMT 2024 1st Call for Papers
*******************************************************
The European Association for Machine Translation (EAMT) invites everyone
interested in machine translation (MT) and translation-related tools and
resources ― developers, researchers, users, translation and localization
professionals and managers ― to participate in this conference.
Driven by the state of the art, the research community will demonstrate
their cutting-edge research and results. Professional MTusers will provide
insights into successful MT implementation of MT in business scenarios as
well as implementation scenarios involving large corporations, governments,
or NGOs. Translation scholars and translation practitioners are also
invited to share their first-hand MT experience, which will be addressed
during a special track.
Note that papers that have been archived in arXiv can be accepted for
submission provided that they have not already been published elsewhere.
EAMT 2024 has four tracks, namely Research: Technical, Research:
Translators & Users, Implementations & Case Studies, and Products &
Projects.
*** Research: technical ***
Submissions (up to 10 pages, plus unlimited pages for references and
appendices) are invited for reports of significant research results in any
aspect of MT and related areas. Such reports should include a substantial
evaluation component, or have a strong theoretical and/or methodological
contribution where results and in-depth evaluations may not be appropriate.
Papers are welcome on all topics in the areas of MT and translation-related
technologies, including, but not limited to:
- Deep-learning approaches for MT and MT evaluation
- Advances in classical MT paradigms: statistical, rule-based, and hybrid
approaches
- Comparison of various MT approaches
- Technologies for MT deployment: quality estimation, domain adaptation,
etc.
- Resources and evaluation
- MT in special settings: low resources, massive resources, high volume,
low computing resources
- MT applications: translation/localization aids, speech translation,
multimodal MT, MT for user generated content (blogs, social networks), MT
in computer-aided language learning, etc.
- Linguistic resources for MT: corpora, terminologies, dictionaries, etc.
- MT evaluation techniques, metrics, and evaluation results
- Human factors in MT and user interfaces
- Related multilingual technologies: natural language generation,
information retrieval, text categorization, text summarization, information
extraction, optical character recognition, etc.
Papers should describe original work. They should emphasise completed work
rather than intended work, and should indicate clearly the state of
completion of the reported results. Where appropriate, concrete evaluation
results should be included.
Papers should be anonymized, prepared according to the templates specified
below, and be no longer than 10 pages (plus unlimited pages for references
and appendices). Submit the paper as a PDF to OpenReview:
https://openreview.net/group?id=EAMT.org/2024/Technical_Track. Submissions
that do not conform to the required styles may be rejected without review.
**Track co-chairs
Rachel Bawden (Inria, Paris)
Víctor M Sánchez-Cartagena (University of Alicante)
*** Research: translators & users ***
Submissions (up to 10 pages, plus unlimited pages for references and
appendices) are invited for academic research on all topics related to how
professional translators and other types of MT users interact with, are
affected by, or conceptualise MT. Papers should report significant research
results with a strong theoretical and/or methodological contribution.
Topics for the track include, but are not limited to:
- The impact of MT and post-editing: including studies on processes,
effort, strategies, usability, productivity, pricing, workflows, and
post-editese
- Human factors and psycho-social aspects of MT adoption (ergonomics,
motivation, and social impact on the profession, relationship between user
profiles and MT adoption)
- Emerging areas for MT & post-editing: e.g. audiovisual, game
localisation, literary texts, creative texts, social media, health care
communication, crisis translation
- MT and ethics
- The impact of using translators’ metadata and user activity data for
monitoring their work
- The evaluation and reception of different modalities of translation:
human translation, post-edited, raw MT
- MT and interpreting
- Human evaluations of MT output
- MT for gisting and the impact of MT on users: use cases, expectations,
perceptions, trust, views on acceptability
- MT and usability
- MT and education/language learning
- MT in the translation/interpreting classroom
Papers should describe original work. They should emphasise completed work
rather than intended work, and should indicate clearly the state of
completion of the reported results.
Papers should be anonymized, prepared according to the templates specified
below, and be no longer than 10 pages (plus unlimited pages for references
and appendices). Submit the paper as a PDF to OpenReview:
https://openreview.net/group?id=EAMT.org/2024/Research_Translators_Users_Tr….
Submissions that do not conform to the required styles may be rejected
without review.
** Track co-chairs
Patrick Cadwell (DCU)
Ekaterina Lapshinova-Koltunski (University of Hildesheim)
*** Implementations & case studies ***
Submissions (approximately 4–6 pages) are invited for reports on case
studies and implementation experience with MT in organisations of all
types, including small businesses, large corporations, governments, NGOs,
or language service providers. We also invite translation practitioners to
share their views and observations based on their day-to-day experience
working with MT in a variety of environments.
Topics for the track include, but are not limited to:
- Integrating or optimising MT and computer-assisted translation in
translation production workflows (translation memory/MT thresholds, mixing
online and offline tools, using interactive MT, dealing with MT confidence
scores)
- Managing change when implementing and using MT (e.g. switching between
multiple MT systems, limiting degradations when updating or upgrading an MT
system)
- Implementing open-source MT (e.g. strategies to get support, reports on
taking pilot results into full deployment, examples of advanced
customization sought and obtained thanks to the open-source paradigm,
collaboration within open-source MT projects)
- Evaluating MT in a real-world setting (e.g. error detection strategies
employed, metrics used, productivity or translation quality gains achieved)
- Ethical and confidentiality issues when using MT, especially MT in the
cloud
- Using MT in social networking or real-time communication (e.g. enterprise
support chat, multilingual content for social media)
- MT and usability
- Implementing MT to process multilingual content for assimilation purposes
(e.g. cross-lingual information retrieval, MT for e-discovery or spam
detection, MT for highly dynamic content)
- MT in literary, audiovisual, game localization and creative texts
- Impact of MT and post-editing on translation practices and the
profession: processes, effort, compensation,
- Psycho-social aspects of MT adoption (ergonomics, motivation, and social
impact on the profession)
- Error analysis and post-editing strategies (including automatic
post-editing and automation strategies)
- The use of translators’ metadata and user activity data in MT development
- Freelance translators’ independent use of MT
- MT and interpreting
Papers should highlight real-world use scenarios, solutions, and problems
in addition to describing MT integration processes and project settings.
Where solutions do not seem to exist, suggestions for MT researchers and
developers should be clearly emphasized. For papers on implementations and
case studies produced by academics, we require co-authorship with the
actual organizations working with MT implementations.
Papers (approximately 4–6 pages, with a maximum of 10 pages -- plus
unlimited pages for references) should be formatted according to the
templates specified below and submitted as PDF files to Open Review:
https://openreview.net/group?id=EAMT.org/2024/Implementations_Case_Studies_….
Anonymization is not required in the Implementations & Case Studies track
submissions. Submissions that do not conform to the required styles may be
rejected without review.
** Track co-chairs
Vera Cabarrão (Unbabel)
Konstantinos Chatzitheodorou (Strategic Agenda)
*** Products & Projects ***
Submissions (2 pages, including references) are invited on either of the
subtracks (Products or Projects).
- Products: Tools for MT, computer-aided translation, and other translation
technologies (including commercial products and free/open-source
software). Descriptions should include information about product
availability and licensing, an indication of cost if applicable, basic
functionality, (optionally) a comparison with other products, and a
description of the technologies used. The authors should be ready to
present the tools in the form of demos or posters during the conference.
- Projects: Research projects, funded through grants obtained in
competitive public or private calls related to MT. Descriptions should
contain: project title and acronym, funding agency, project reference,
duration, list of partner institutions or companies in the consortium if
there is one, project objectives, and a summary of partial results
available or final results if the project has ended. The authors should be
ready to present the projects in the form of posters during the conference.
This follows on from the successful ‘project villages’ held at the last
EAMT conferences.
There will be a poster boaster session for this track, in which authors
will have 120 seconds to attract attendees to their posters or demos with a
two-slide presentation.
Submissions should be formatted according to the templates specified
below. Anonymization is not required. Submissions should be no longer than
2 pages (including references), and submitted as PDF files to OpenReview:
https://openreview.net/group?id=EAMT.org/2024/Products_Projects_Track.
Track chair
Helena Moniz (University of Lisbon (FLUL), INESC-ID)
*** Templates for writing your proposal ***
There templates available in the following formats (check our website --
https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers):
- LaTeX
- Cloneable Overleaf template
- Word
- Libre Office/Open Office
- PDF
*** Important deadlines ***
- Deadline for paper submission: 8 March 2024
- Notification to authors: 8 April 2024
- Camera ready deadline: 22 April 2024
- Author Registration: 8 May 2024
All deadlines are at 23:59 CEST.
*** Local organising committee ***
Carolina Scarton (University of Sheffield)
Charlotte Prescott (ZOO Digital)
Chris Bayliss (ZOO Digital)
Chris Oakley (ZOO Digital)
Xingyi Song (University of Sheffield)
--
*Carolina Scarton*
Lecturer in Natural Language Processing
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
Dear all,
(with apologies for cross-posting)
The University of Arizona’s School of Information invites applications
for *Assistant/Associate
Professors in Cultural Heritage Informatics.*
These are tenure-line hires in our iSchool, a place for the
interdisciplinary study of information. The iSchool is particularly focused
on preparing students for living, thinking, and working in the digital age.
Students are trained to become specialists in information management, data
analysis, artificial intelligence, librarianship, social media marketing,
and much more. The iSchool has highly ranked on-campus and online degree
programs, with a normal teaching load of two graduate courses per semester
for tenure track/tenured faculty.
We intend to hire *multiple* tenure-track Assistant or Associate Professors
with records of research in creative and critical application of
information and computing technology in cultural heritage to begin in
mid-August, 2024.
We are especially interested in candidates who are well-versed in
qualitative and quantitative methodologies as well as those with interest
in academic leadership roles (e.g. program supervision, student advising)
who bring a record of working on inter- or trans-disciplinary funded grant
teams.
We invite applicants from a range of disciplines, including but not limited
to library and information science, cultural heritage studies, archival
studies, digital humanities, Indigenous studies, geography and development,
and more. Our intent is to recruit scholars with research agendas that
overlap with existing areas of strength in the iSchool regardless of
disciplinary background.
We are especially interested in candidates with any of the following
expertise:
• Curation and management of cultural heritage data and artifacts
• Digital preservation infrastructures, systems, or tools
• Digital Humanities, and data-intensive cultural heritage environments
• Archives, access, and preservation with historically marginalized
communities
• Collaborative research with/in marginalized communities and/or critical
cultural studies
• Computational techniques in analyzing archival and/or museum collections
• Convergence of libraries, archives, and museums through information
technologies such as digitization, digital imaging, access systems,
aggregation, linked data, and/or related areas.
More details/apply here:
https://arizona.csod.com/ux/ats/careersite/4/home/requisition/18291?c=arizo…
I am not affiliated with this search but I am happy to discuss life in
Tucson, moving into library-affiliated landscapes, etc. I will add that
there's tons of interest across UofA in computing and cultural informatics
to get tapped into, and our iSchool students are particularly interested in
digital scholarship!
Thank you,
Heather Froehlich
--
Dr Heather Froehlich
w // http://hfroehli.ch
t // @heatherfro
tl;dr:
-
submission deadline for research track paper via Softconf: December 18th
2023
-
submission deadline for research track submissions already reviewed via
ARR: January 17th 2024
-
submission deadline for shard task systems: January 20th 2024
-
submission deadline for shard task system descriptions via SoftConf:
January 26th 2024
https://sites.google.com/view/dialogue-evaluation/
Call for Papers
The aim of this workshop is to bring together experts working in the area
of open-domain dialogue. In this speedily advancing research area many
challenges still exist, such as learning information from conversations,
engaging in realistic and convincing simulation of human intelligence,
reasoning, and so on.
SCI-CHAT follows previous workshops on open domain dialogue, but with a
focus on the simulation of intelligent conversation, including the ability
to follow a challenging topic over a multi-turn conversation, the ability
to posit questions, refuting and reasoning with live human evaluation
employed as the primary mechanism for evaluating models. The workshop will
include a research track and shared task:
SCI-CHAT's research track aims to explore recent advances and challenges in
open-domain dialogue research. Researchers working on all aspects of
open-domain dialogue are invited to submit papers on recent advances,
resources, tools, analysis, evaluation, and challenges on the broad theme
of open-domain dialogues.
The topics of the workshop include but are not limited to the following:
-
Intelligent conversation, chit-chat, open-domain dialogue;
-
Automatic and human evaluation of open-domain dialogue;
-
Limitations, risks and safety in open-domain dialogue;
-
Instruction-tuned and instruction-enabled models;
-
Any other topic of interest to the dialogue community.
SCI-CHAT's shared task will focus on simulating intelligent conversations;
participants will be asked to submit (access to the APIs of) automated
dialogue agents with the aim of carrying out nuanced conversations over
multiple dialogue turns. Participating systems will be interactively
evaluated in a live human evaluation. All data acquired within the context
of the shared task will be made public, providing an important resource for
improving metrics and systems in this research area.
Submission guidelines:
Authors are invited to submit their unpublished work that represents novel
research through either direct submission or ARR commitment. Papers should
consist of up to 8 pages of content, plus unlimited pages for references
and appendix. Authors should make use of the EACL Latex Template
<https://2023.eacl.org/calls/styles/> alongside supplementary materials,
including technical appendices, links to source code, datasets, and
multimedia appendices.
Papers can also be submitted as non-archival, so that their content can be
reused for other venues by adding "(NON-ARCHIVAL)" to the title of their
submission. Previously published work can also be submitted as non-archival
in the same way, with the additional requirement to state such on the first
page.
-
Direct paper submissions must be submitted through SoftCon submission
link: https://softconf.com/eacl2024/SCI-CHAT-2024/
<https://softconf.com/eacl2024/SCI-CHAT-2024/>
Multiple submissions of the same paper to more EACL workshops are forbidden.
All papers will be double-blind peer-reviewed, by at least 2 program
committee members. As such, all submissions, including the main paper and
its supplementary materials, should be fully anonymized. For more
information on formatting and anonymity guidelines, please refer to EACL
guidelines <https://eacl.org/index.html>.
Organizers
-
Yvette Graham (Trinity College Dublin, Ireland)
-
Qun Liu (Huawei Noah's Ark Lab, China)
-
Gerasimos Lampouras (Huawei Noah's Ark Lab,UK)
-
Ignacio Iacobacci (Huawei Noah's Ark Lab, UK)
-
Sinead Madden (Trinity College Dublin, Ireland)
-
Haider Khalid (Trinity College Dublin, Ireland)
-
Rameez Qureshi (Trinity College Dublin, Ireland)
Important Dates
Regarding Research Track:
-
Research paper via Softconf: December 18th 2023
-
Pre-reviewed ARR commitment deadline: January 17th 2024
-
Notification of research paper acceptance: January 20th, 2024
-
Camera-ready papers due: January 30th 2024
Regarding Shared Task:
-
Release of training and development data: November 9th 2023
-
Release of baseline systems: November 9th 2023
-
Preliminary System submission deadline: January 13th 2024 (optional - if
you want help testing your API, please submit early)
-
System submission (API) deadline: January 20th 2024
-
System description paper via SoftConf: January 26th 2024
-
Camera-ready papers due: January 30th 2024
Overview of results at one-day workshop: March 21 or 22, 2024
CONTACT: sci-chat(a)adaptcentre.ie
PhD student– Information Extraction & Natural Language Processing
Starting now / at the soonest possible date, the Data & Knowledge
Engineering group at Heinrich-Heine-University (HHU, Düsseldorf),
affiliated with Knowledge Technologies for Social Sciences (KTS,
https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational
Linguistics department at HHU (
https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling…)
are looking for a
*PhD student– Information Extraction & Natural Language Processing*
(Salary group 13 TV-L, working time 75%-100%, initially limited to 36
months with the possibility of further extension)
In the context of the research project "NewOrder", we are investigating
scientific online discourse in news & social media, in an interdisciplinary
consortium involving researchers from Computer Science, Psychology,
Political and Communication Science. Our research will be concerned with
novel Natural Language Processing (NLP) methods for the analysis of
scientific online discourse (e.g. on Twitter) addressing challenges arising
from its informal nature and heterogeneity. For instance, references to
scientific works (e.g. publications, studies, datasets), scientists or
scientific organisations are often provided in informal and ambiguous ways.
Other challenges include the dynamically evolving vocabulary posing
challenges for reuse and adaptation of both pretrained language models as
well as NLP models finetuned towards specific downstream tasks. Hence,
detecting and disambiguating informal science discourse and associated
claims remains a challenging problem.
Your tasks will be:
*******************
* Research in fields such as NLP, Machine Learning, Language Modeling and
Representation learning, specifically with the aim to extract structured
information from online discourse data
* Develop NLP methods for (i) the detection, disambiguation and
classification of sources of science-related information on social media,
(ii) assessing the quality and credibility of sources and claims and (iii)
investigating implicit language cues for cognitive states and source
characteristics/traits
* Writing, publishing and presenting project results
* Collaboration with team members and project partners in an
interdisciplinary consortium
Your profile:
**************
* University degree (diploma/MSc) in Computational Linguistics, Computer
Science or related fields
* Research interests in NLP, machine learning, data mining, large language
models
* Hands-on experience with Python and handling big datasets, ideally
experience with Big Data Frameworks (e.g. Spark/Hadoop)
* Knowledge of ML-Frameworks such as TensorFlow and PyTorch
* Ability to communicate fluently in English mandatory, basic knowledge of
the German language desirable
What we offer:
***************
* Flexible working hours and home office arrangements
* A fast growing and international working environment with a lot of
creative scientific freedom
* Access to unique research data, (social) web archives and behavioral data
* Support of collaborations with international research labs and experts
through an extensive international exchange programme
The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific
Director of KTS at GESIS and Professor for Data & Knowledge Engineering at
HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics
department at HHU).
For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de)
and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de).
Interested?
*************
Please apply by sending your complete application documents as a single PDF
file to stefan.dietze(a)hhu.de by 20 December 2023.
--
Prof. Dr. Laura Kallmeyer
Institut für Linguistik
Heinrich-Heine Universität Duesseldorf
Universitaetsstr. 1
D-40225 Duesseldorf, Germany
https://user.phil.hhu.de/kallmeyer/
Phone +49 (0)211 8113899
Dear all,
Applications are invited for a fully funded PhD (4-year) on Natural language processing (NLP) and social computing.
POSITIONS: Presently, I am looking to recruit 2 PhD students to start their PhD as members of the TARTUNLP Group, Institute of Computer Science<https://cs.ut.ee/en>, at the University of Tartu. The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. As of 2023, the University of Tartu belongs to the top 1% of the world's universities. Here, 13,000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity.
SCOPE (but not limited to):
- Content analysis on Social Media (Named Entity Recognition, Sentiment analysis, etc.)
- Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.)
- Disaster Management Using Social Media
- Explainable AI in NLP
- LLM
BENEFITS:
- Scholarship approximately 2000 Euro/month gross amount.
- Health insurance cover.
- Travel grant for attending conferences and workshops, etc.
HOW TO APPLY:
- Send your latest CV to somnath.banerjee(a)ut.ee with the subject line "PhD position 2024".
Your CV must include:
- final year undergraduate/graduate project (brief description: max 150 words)
- pursued relevant subjects at undergraduate and/or Master level (if any)
- relevant work experience (if any)
- publications (if any)
- The name and email contacts of academic referees(optional)
**Do not send academic certificates, motivation letters, letters of recommendation, etc. Upon initial selection based on CVs, additional documents will be asked for further processing.
NOTE:
- Master-level students who are in their final semester also can apply.
- Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them.
For queries: Feel free to reach out with questions or comments by contacting somnath.banerjee(a)ut.ee with the subject line "PhD positions queries".
Kind regards,
Somnath Banerjee
Assistant Professor,
Chair of Natural Language Processing,
Institute of Computer Science,
University of Tartu,
webpage: http://www.ut.ee/~somnath/
SEPLN – CEDI 2024: 40th INTERNATIONAL CONFERENCE OF THE SPANISH SOCIETY FOR NATURAL LANGUAGE PROCESSING - VII CONGRESO ESPAÑOL DE INFORMÁTICA
A Coruña, Spain
June 20, 2024
The Spanish Society for Natural Language Processing (SEPLN) is pleased to invite you to participate in the Special SEPLN – CEDI Seminar 2024. The Seminar will take place on 20 June 2024 in A Coruña (Spain) co-located with the VII Congreso Español de Informática.
The SEPLN-CEDI 2024 Seminar intends to be an appropriate forum for helping new professionals to become active members in this field. In this respect, its main aim is to give the possibility to present real NLP applications (demos) and R&D projects.
Topics of interest
Topics related to NLP, including but not limited to:
Linguistic, mathematical and psycholinguistic models of language.
Machine learning in NLP.
Computational lexicography and terminology.
Corpus linguistics.
Development of linguistic resources and tools.
Morphological and syntactic analysis.
Semantics, pragmatics and discourse.
Word sense disambiguation.
Monolingual and multilingual text generation.
Machine translation.
Knowledge and common sense.
Multimodality.
Spoken language processing.
Dialogue systems and interactive systems / Conversational assistants.
Multimedia indexing and retrieval.
Monolingual and multilingual information extraction and retrieval.
Question answering systems.
Evaluation of NLP systems.
Automatic textual content analysis.
Sentiment analysis and argument mining.
Plagiarism detection.
Negation and speculation processing.
Text mining in social media.
Text summarization.
Text simplification.
NLP in the biomedical domain.
NLP-based generation of teaching resources.
NLP for languages with limited resources.
NLP industrial applications.
Low-resource NLP tasks, data augmentation.
Ethics and NLP.
Interpretability and Analysis of Models for NLP.
Structure of the Conference
The SEPLN-CEDI 2024 Seminar will be a one-day event and will include sessions to present ongoing research projects and prototype or product demos related to the topics of the conference.
Paper types and author guidelines
The SEPLN-CEDI 2024 Seinar will accept two kinds of papers: (1) research project summaries and (2) system demonstration papers.
Research project summaries. They are summaries of ongoing research projects. This kind of papers must include the following information:
Project title.
Author name, affiliation and contact information. The review of this kind of paper is not blind review.
Funding institutions.
Research Groups participating in the project.
Language: English. We will not accept research project summaries in Spanish or other languages.
An abstract of a maximum of 150 words and a list of keywords.
Minimum length: 5 A4-size pages.
Maximum length: 6 A4-size pages (including references).
In the submission platform you have to choose “Projects and Demos” as main topic.
System demonstration papers. These papers must be related to NLP applications, and they must describe the technical details and the NLP components used or developed. The paper must be written in English, the minimum length of the paper must be 5 A4-size pages and the maximum length is 6 A4-size pages of content with the references included.
In the submission platform you have to choose “Projects and Demos” as main topic.
The research project summaries and the system demonstration papers will be published in CEUR Workshop Proceedings platform, which is widely known by the computer science research community. Accordingly, the paper format must be in accordance with the CEUR template. We have adapted the CEUR Latex Template to SEPLN 2023 and you can download it (Latex, Word).
Submission Information. The papers must be submitted by February 16th, 2024. All submissions must be in PDF format and submitted electronically using the MyReview system available.
Submitted papers will be subjected to a blind review by at least three members of the SEPLN advisory council.
Camera ready - the final version of the paper should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper.
Preprint policy – The CEUR proceedings allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper is “under review” in the CEUR Proceedings. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper.
Important dates
Deadline for the submission of projects and demos: Febraury 16th, 2024.
Notification of acceptance: March 16th, 2024.
Deadline Authors Registration: April 8th, 2024
Camera Ready: May 8th, 2024.
Conference: June 20th, 2024.
Organizing Committee
Rafael Muñoz Guillena University of Alicante (Spain).
Elena Lloret Pastor University of Alicante (Spain).
Eugenio Martínez Cámara University of Granada (Spain).
Alba Bonet University of Alicante (Spain)
Robiert Sepúlveda University of Alicante (Spain)
Alvaro Rodrigo Yuste UNED (Spain)
Contact
All information related to the conference can be found at: https://seplncedi2024.gplsi.es
For all general enquiries, please contact: seplncedi2024(a)googlegroups.com
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Rafael Muñoz Guillena
Universidad de Alicante
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‘Language in the Human-Machine Era’ (https://lithme.eu/) welcomes everyone interested in the impact of new and emerging language technologies that integrate with human senses. Whether you are a tech developer who wants to learn more about linguistics, or a linguist who wants to know more about tech, we want to hear from you! You can find out more about our themes of interest from our published forecast report (https://doi.org/10.17011/jyx/reports/20210518/1) and our animations (https://lithme.eu/animations). Funding is available to people in European countries and in countries neighbouring Europe (see https://www.cost.eu/about/strategy/cost-global-networking/). Self-funded applicants from any country are also welcome, with no registration fee.
LITHME’s overall aim is to prepare for imminent changes in the way we use technology to communicate. From immersive augmented reality to super-intelligent chatbots, in the near future we will be communicating in very different ways. This will present significant challenges for all areas of linguistics and language research; meanwhile, developers need insights from linguistic research to improve the technologies themselves. So we must all adapt.
Our fully funded training school is open to any eligible researcher or practitioner who is interested in exploring these timely topics. We welcome experienced developers, but no technological expertise is required, only an interest in exploring the possible effects of these near-future advances in language technology.
More information about eligibility, and the online application form, can be found at https://lithme.eu/training-school-2024/<https://lithme.eu/training-school/>. The deadline for applications is Tuesday 19 Dec 2023, 12:00 CET.
Please forward this email on to anyone who may be interested, and please repost the announcement here:
https://twitter.com/LgHumanMachine/status/1724750085907484672https://bsky.app/profile/lghumanmachine.bsky.social/post/3ke7xbuozl22k
We hope to see you in Hradec Králové!
Best wishes,
Rui Sousa-Silva (on behalf of the training school organising committee)
Rui Sousa Silva
Faculdade de Letras, Universidade do Porto
Faculty of Arts and Humanities, University of Porto
www.linguisticaforense.pt | https://s.up.pt/qjur
*LaTeCH-CLfL 2024:
The 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural
Heritage, Social Sciences, Humanities and Literature
*
to be held in March 2024 in conjunction with EACL 2024
<https://2024.eacl.org/> in St Julian’s, Malta.
https://sighum.wordpress.com/latech-clfl-2024/
Second Call for Papers (with apologies for cross-posting)
Organisers: Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva,
Stan Szpakowicz
LaTeCH-CLfL 2024 is the eighth in a series of meetings for NLP
researchers who work with data from the broadly understood arts,
humanities and social sciences, and for specialists in those disciplines
who apply NLP techniques in their work. The workshop continues a long
tradition of annual meetings. The SIGHUM Workshops on Language
Technology for Cultural Heritage, Social Sciences, and Humanities
(LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational
Linguistics for Literature (CLfL) took place in 2012-2016. The first
seven joint workshops (LaTeCH-CLfL) were held in 2017-2023.
*Topics and content*
In the Humanities, Social Sciences, Cultural Heritage and literary
communities, there is increasing interest in, and demand for, NLP
methods for semantic and structural annotation, intelligent linking,
discovery, querying, cleaning and visualization of both primary and
secondary data. This is even true of primarily non-textual collections,
given that text is also the pervasive medium for metadata. Such
applications pose new challenges for NLP research: noisy, non-standard
textual or multi-modal input, historical languages, vague research
concepts, multilingual parts within one document, and so no. Digital
resources often have insufficient coverage; resource-intensive methods
require (semi-)automatic processing tools and domain adaptation, or
intense manual effort (e.g., annotation).
Literary texts bring their own problems, because navigating this form of
creative expression requires more than the typical information-seeking
tools. Examples of advanced tasks include the study of literature of a
certain period, author or sub-genre, recognition of certain literary
devices, or quantitative analysis of poetry.
NLP methods applied in this context not only need to achieve high
performance, but are often applied as a first step in research or
scholarly workflow. That is why it is crucial to interpret model results
properly; model interpretability might be more important than raw
performance scores, depending on the context.
More generally, there is a growing interest in computational models
whose results can be used or interpreted in meaningful ways. It is,
therefore, of mutual benefit that NLP experts, data specialists and
Digital Humanities researchers who work in and across their domains get
involved in the Computational Linguistics community and present their
fundamental or applied research results. It has already been
demonstrated how cross-disciplinary exchange not only supports work in
the Humanities, Social Sciences, and Cultural Heritage communities but
also promotes work in the Computational Linguistics community to build
richer and more effective tools and models.
Topics of interest include, but are not limited to, the following:
• adaptation of NLP tools to Cultural Heritage, Social Sciences,
Humanities and literature;
• automatic error detection and cleaning of textual data;
• complex annotation schemas, tools and interfaces;
• creation (fully- or semi-automatic) of semantic resources;
• creation and analysis of social networks of literary characters;
• discourse and narrative analysis/modelling, notably in literature;
• emotion analysis for the humanities and for literature;
• generation of literary narrative, dialogue or poetry;
• identification and analysis of literary genres;
• interpretability of large language models output for
DH-related tasks (explainable AI);
• linking and retrieving information from different sources,
media, and domains;
• low-resource and historical language processing;
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities,
Social Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• search for scientific and/or scholarly literature;
• work with linguistic variation and non-standard or historical
use of language.
*Information for authors*
We invite papers on original, unpublished work in the topic areas of the
workshop. In addition to long papers, we will consider short papers and
system descriptions (demos). We also welcome position papers.
• Long papers, presenting completed work, may consist of up to
eight (8) pages of content plus additional pages of references (just two
if possible -:). The final camera-ready versions of accepted long papers
will be given one additional page of content (up to 9 pages) so that
reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the
description of a system, and may consist of up to four (4) pages of
content plus additional pages of references (one if you can). Upon
acceptance, short papers will be given five (5) content pages in the
proceedings.
• A position paper — clearly marked as such — should not exceed
eight (8) pages including references.
All submissions are to use the EACL stylesheets (for LaTeX / Overleaf
and MS Word); there will be a link soon (we hope) but last year's
https://2023.eacl.org/calls/styles is a good guess. Papers should be
submitted electronically, only in PDF, via the LaTeCH-CLfL2024
submission website on the SoftConf pages at
https://softconf.com/eacl2024/LaTeCH-CLfL-2024/.
Reviewing will be double-blind. Please do not include the authors’ names
and affiliations, or any references to Web sites, project names,
acknowledgements and so on — anything that immediately reveals the
authors’ identity. Self-references should be kept to a reasonable
minimum, and anonymous citations cannot be used. We will make an
exception for demo papers: the review may be single-blind.
Accepted papers will be published in the workshop proceedings available
as usual in the ACL Anthology.
*Important dates* (still tentative)
Workshop paper due: December 18, 2023
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30 2024
Workshop date: March 21 or 22, 2024
*More on the organizers*
Yuri Bizzoni, Center for Humanities Computing / School for Communication
and Culture, Århus University
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland
University
Anna Kazantseva, National Research Council Canada
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa
*Contact*
latech-clfl(a)googlegroups.com