[Corpora-List] Deadline extension: Towards Digital Language Equality Workshop at LREC 2022

Itziar Aldabe itziar.aldabe at ehu.eus
Fri Apr 8 13:59:47 CEST 2022


*** The deadline has been extended to April 18, 2022 ***


> [Apologies for cross-postings]
>
>
> ==============
>
> *Second Call for Papers*
>
> Towards Digital Language Equality 2022 Workshop (TDLE 2022)
>
> Date: Monday June 20, 2022
>
> Venue: Palais du Pharo, Marseille, France
>
> Website: https://european-language-equality.eu/tdle-2022/
> <https://european-language-equality.eu/tdle-2022/>
>
> Submission Deadline: *18 April 2022 - New deadline*
>
> Submission page: https://www.softconf.com/lrec2022/Equality/
> <https://www.softconf.com/lrec2022/Equality/>
>
> ==============
>
>
> Workshop Description and Objectives
>
> Language Technology (LT) is one of the most important AI application
> areas with a fast-growing economic impact. Current LT (NLP, Speech,
> Multimodal, etc.) supports many advanced applications which would have
> been unthinkable only a few years ago. In fact, the LT community in
> multiple sectors (Machine Translation, Text Analytics, Speech,
> Language Resources, etc.) is developing powerful new deep learning
> techniques, tools and large multilingual pre-trained language models
> that are revolutionizing many language-related tasks and supporting
> improved ways of communicating, including across languages.
>
>
> Unfortunately, most of the tools and resources are not equally
> available for all languages and domains. Although LT has the potential
> to overcome the linguistic divide in the digital sphere, most
> languages are often neglected in this regard. A growing concern is
> that due to unequal access to these resources, only a small set of
> large IT companies and elite universities lead modern LT development
> (Ahmed and Wahed, 2020 <https://arxiv.org/abs/2010.15581>).
>
>
> To unleash the full potential of LT and ensure that no users of these
> technologies are disadvantaged in the digital sphere because of the
> language they use, we should facilitate long-term progress towards
> multilingual, efficient, accurate, explainable, ethical, fair and
> unbiased language understanding and communication. In short, we must
> ensure transparent Digital Language Equality
> <https://european-language-equality.eu/wp-content/uploads/2021/05/ELE_Deliverable_D1_1.pdf>(DLE)
> in all areas of society: from government to business to citizens.
>
>
> In this workshop, we would like to address the international,
> national, regional and local policies, initiatives, projects, studies
> and research that target DLE, such as models and tools that monitor,
> measure, catalog or visualize the evolution and dynamics of DLE,
> technological factors, (e.g., available language resources, tools and
> technologies) and situational context factors (e.g., societal,
> economic, educational, industrial) that may affect DLE. In addition,
> we will explore recent advances in Natural Language Understanding
> (NLU) towards DLE, including cost-efficient resource acquisition,
> processing and annotation, both monolingual and cross-lingual (such as
> annotation transfer), multilingual and cross-lingual modeling
> techniques (transfer learning), zero-resource, zero-shot models, etc.
>
>
> Topics of Interest
>
> We invite submissions with original contributions addressing all
> topics related to DLE. Areas of interest include, but are not limited
> to, the following:
>
> *
>
> Use cases and best-practice examples and guidelines for LT
> deployment for concrete scenarios or for actual deployment of LT
> for specific end-users, feasibility studies, prototype
> implementations, cost estimates or results of desk research.
>
> *
>
> Collaborative efforts towards the identification, collection,
> documentation, curation, interoperability, reuse and archiving of
> LRs/LTs and other relevant artifacts.
>
> *
>
> International, national, regional and local policies, initiatives,
> projects, studies and research that target DLE or similar/related
> notions.
>
> *
>
> Models and tools that monitor, measure, catalog or visualize the
> evolution and dynamics of DLE.
>
> *
>
> Studies on technological factors, (e.g., available language
> resources, tools and technologies) and situational context factors
> (e.g., societal, economic, educational, industrial) that may
> affect DLE.
>
> *
>
> Analysis of the benefits of DLE policies.
>
> *
>
> Impact of DLE on society.
>
> *
>
> Main breakthroughs needed in LT for achieving DLE in a certain
> multilingual region or society.
>
> *
>
> Main LT visions and development goals for DLE.
>
> *
>
> Recent advances in LT and NLU that help progress towards DLE,
> including cost-efficient resource acquisition, processing and
> annotation, both monolingual and cross-lingual (such as annotation
> transfer), multilingual and cross-lingual modeling techniques
> (including but not limited to transfer learning), zero-resource,
> zero-shot models, etc.
>
>
> Submission & Publication
>
> We accept research papers addressing Digital Language Equality.
> Authors must declare if part of the paper contains material previously
> published elsewhere.
>
>
> Papers are allowed a maximum of 8 pages, references excluded.
>
>
> Accepted papers will be published in online proceedings.
>
>
> Papers must strictly comply with the LREC stylesheet,be written in
> English and be submitted in PDF unprotected format.
>
>
> Submission page: https://www.softconf.com/lrec2022/Equality/
> <https://www.softconf.com/lrec2022/Equality/>
>
>
> Each submission will be reviewed by three programme committee members.
> In compliance with the LREC rules, papers must *not* be anonymized.
>
>
> Important dates
>
> *
>
> Paper submission deadline: *18 April 2022 - New deadline!*
>
> *
>
> Notification of acceptance: 3 May 2022
>
> *
>
> Camera-ready paper: 23 May 2022
>
> *
>
> Workshop date: 20 June 2022
>
>
> Invited Speakers
>
> *TBA*
>
>
> Organizing Committee
>
>
> Itziar Aldabe (HiTZ, UPV-EHU)
>
> Begońa Altuna (HiTZ, UPV-EHU)
>
> Aritz Farwell (HiTZ, UPV-EHU)
>
> Federico Gaspari (ADAPT, DCU)
>
> Maria Giagkou (Athena RC/ILSP)
>
> Jan Hajic (Charles University)
>
> Stelios Piperidis (Athena RC/ILSP)
>
> Georg Rehm (DFKI)
>
> German Rigau (HiTZ, UPV-EHU)
>
> Andy Way (ADAPT, DCU)
>
>
> To contact the organizers, please email Itziar Aldabe
> (itziar.aldabe at ehu.eus) and/or Aritz Farwell (aritz.farwell at ehu.eus)
> using Subject: [Towards DLE 2022].
>
>
> Programme Committee
>
>
> Xabier Arregi (HiTZ, UPV/EHU)
>
> Dimitra Anastasiou (Luxembourg Institute of Science and Technology)
>
> Albina Auksoriute (LIETUVIU KALBOS INSTITUTAS)
>
> Jeremy Barnes (HiTZ, UPV/EHU)
>
> Khalid Choukri (ELDA)
>
> Bessie Dendrinos (ECSPM)
>
> Itziar Gonzalez-Dios (HiTZ, UPV/EHU)
>
> Kristine Eide (Language Council of Norway)
>
> Ainara Estarrona (HiTZ, UPV/EHU)
>
> Inma Hernáez (HiTZ, UPV/EHU)
>
> Jaroslava Hlaváčová (CUNI)
>
> Mikel Iruskieta (HiTZ, UPV/EHU)
>
> Sabine Kirchmeier (EFNIL)
>
> Svetla Koeva (INSTITUTE FOR BULGARIAN LANGUAGE)
>
> Krister Linden (UH)
>
> Teresa Lynn (DCU)
>
> Maite Melero (BSC)
>
> Eva Navas (HiTZ, UPV/EHU)
>
> Delyth Prys (BU)
>
> Kepa Sarasola (HiTZ, UPV/EHU)
>
> Claudia Soria (ELEN)
>
> Frieda Steurs (Instituut voor de Nederlandse Taal)
>
> Jana Straková (CUNI)
>
> Tamás Váradi (Nyelvtudományi Kutatóközpont)
>
> Francois Yvon (CNRS)
>
>
> Identify, Describe and Share your LRs!
>
> *
>
> Describing your LRs in the LRE Map is now a normal practice in the
> submission procedure of LREC (introduced in 2010 and adopted by
> other conferences). To continue the efforts initiated at LREC 2014
> about “Sharing LRs” (data, tools, web-services, etc.), authors
> will have the possibility, when submitting a paper, to upload LRs
> in a special LREC repository. This effort of sharing LRs, linked
> to the LRE Map for their description, may become a new “regular”
> feature for conferences in our field, thus contributing to
> creating a common repository where everyone can deposit and share
> data.
>
> *
>
> As scientific work requires accurate citations of referenced work
> so as to allow the community to understand the whole context and
> also replicate the experiments conducted by other researchers,
> LREC 2022 endorses the need to uniquely identify LRs through the
> use of the International Standard Language Resource Number
> (ISLRN,www.islrn.org <http://www.islrn.org>), a Persistent Unique
> Identifier to be assigned to each Language Resource. The
> assignment of ISLRNs to LRs cited in LREC papers will be offered
> at submission time.
>
>
>
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