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Funding opportunity for mobility provided by COST Action LITHME (Language in the Human-Machine Era)
by Claudia Soria 23 Oct '20

23 Oct '20

Dear Collegues,   'Language In The Human-Machine Era' (LITHME) is a research network funded by the EU COST programme (https://cost.eu). LITHME is centered around the relationship between language and machines, with the aim of forecasting the impact that future technology may have on language, and prepare research to that future. A COST Action is basically a networking mechanism that fosters exchange across researchers coming from different disciplines and countries.   During the COVID travel restrictions we sadly can't arrange large in-person meetings. But COST also funds individual 'Short-term Scientific Missions', where one researcher travels across borders to learn and share knowledge. So for the time being we're focusing on these short term individual visits where cross-border travel is allowed, and ensuring COVID safety protocols during the visit and associated travel. Intended for novel dialogue as outlined above, these visits should increase understanding and preparation for language in the human-machine era.   For eligibility criteria and further information, please see our website: https://lithme.eu/STSM Please also forward this message on to anyone who might be interested, and retweet us here: https://twitter.com/LgHumanMachine/status/1318260873216012289 All the best, Claudia -- Claudia Soria Researcher Istituto di Linguistica Computazionale "A. Zampolli" Consiglio Nazionale delle Ricerche Via Moruzzi 1 56124 Pisa Italy Management Committee member COST Action CA19102 ‘Language In The Human-Machine Era' (LITHME) www.lithme.eu Tel. +39 050 3153166 Skype clausor

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Fwd: [2020PC+Board] The State and Fate of Linguistic Diversity and Inclusion in the NLP World
by Joseph Mariani 30 Sep '20

30 Sep '20

fyi Joseph -------- Message transféré -------- Sujet : [2020PC+Board] The State and Fate of Linguistic Diversity and Inclusion in the NLP World Date : Wed, 30 Sep 2020 14:40:21 +0100 De : Antonio Branco <antonio.branco(a)di.fc.ul.pt> Répondre à : LREC 2020 Program Committee plus ELRA Board <lrec2020-pc-plus-elra-board(a)list.lrec-conf.org> Organisation : University of Lisbon Pour : elra-board(a)list.elra.info, lrec2020-pc-plus-elra-board(a)list.lrec-conf.org Dear all, Hope you're all fine. Breaking our Summer holidays' radio silence, I'm sharing the paper below, with flattering news for us. My apologies if you have already stumbled upon it. It is a recent paper, published last July in ACL, in a special theme track they promoted this year, aimed at positive discrimination, namely at attracting "out of the(ir) box" papers, which would have been very likely rejected from ACL2020 otherwise. The key goals of this paper are "making the [ACL] community aware of the gap that needs to be filled before we can truly claim state-of-the-art technologies to be language agnostic"/universal, and "attempt to convince the ACL community to prioritize the resolution of the predicaments highlighted here, so that no language is left behind." One of its major, and duly emphasized, conclusion confirms (objectively) what we were (subjectively) sure about: "LREC has been more inclusive across different classes of languages" when compared to all the other top-tier NLP/CL venues (conferences and journal). All the best, António ++++++++++++++++++++++++++++++ The State and Fate of Linguistic Diversity and Inclusion in the NLP World Joshi et al, 2020, acl https://www.aclweb.org/anthology/2020.acl-main.560.pdf Language technologies contribute to promot-ing multilingualism and linguistic diversity around the world. However, only a very small number of the over 7000 languages of the world are represented in the rapidly evolving language technologies and applications. In this paper we look at the relation between the types of languages, resources, and their representation in NLP conferences to understandt he trajectory that different languages havefollowed over time. Our quantitative investigation underlines the disparity between languages, especially in terms of their resources, and calls into question the “language agnostic” status of current models and systems. _______________________________________________ LREC2020-PC-plus-ELRA-Board mailing list LREC2020-PC-plus-ELRA-Board(a)list.lrec-conf.org http://list.lrec-conf.org/cgi-bin/mailman/listinfo/lrec2020-pc-plus-elra-bo… -- Joseph MARIANI Directeur de Recherche Émérite LIMSI-CNRS Rue John von Neumann Campus Universitaire d'Orsay Batiment 508 91405 ORSAY Cedex (France) Tel: +33 1 69 15 78 56 Email: Joseph.Mariani(a)limsi.fr Web: https://perso.limsi.fr/mariani/index Web IMMI: http://immi.cnrs.fr/

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Fwd: Lacuna Fund RFP
by Laurent Besacier 24 Sep '20

24 Sep '20

> Début du message réexpédié : > > De: "De Wet, F [fdw(a)sun.ac.za <mailto:fdw@sun.ac.za>]" <fdw(a)sun.ac.za <mailto:fdw@sun.ac.za>> > Objet: Lacuna Fund RFP > Date: 24 septembre 2020 à 13:18:42 UTC+2 > À: Laurent Besacier <laurent.besacier(a)imag.fr <mailto:laurent.besacier@imag.fr>> > > Dear Laurent, > > This RFP may be of interest to some members of SIGUL. Could you please share it with the community? > > Thank you, > Febe de Wet > > Lacuna Fund, a collaborative effort to mobilize datasets for machine learning that solve urgent problems in low- and middle-income contexts globally, has issued a Request for Proposals (RFP) for datasets in language in Sub-Saharan Africa. > The full RFP and more details on eligibility, selection criteria, as well as information about the Fund and upcoming calls, can be found at <http://www.lacunafund.org/>lacunafund.org <http://www.lacunafund.org/>. Questions about the RFP are welcome through 7 October 2020. The RFP closes on 6 November 2020. > We are seeking applications to create, expand, or maintain datasets from organizations and partnerships with technical expertise in language data collection and labeling. Proposals should also demonstrate a strong understanding of the machine learning landscape and the needs of end users. > Applicants must be headquartered in Africa or have a substantial partnership with an entity headquartered in Africa. Lacuna Fund encourages collaboration between organizations to assemble a competitive proposal. > Proposals will be selected by a Technical Advisory Panel based on the Fund’s principles: transformative potential, quality, accessibility, equity, ethics, and a participatory approach. > Lacuna Fund values a collaborative and locally driven approach to data creation, expansion, and maintenance. We recognize that the continued usefulness and maintenance of open data will thrive in a community that is collectively invested in that data. > While the Request for Proposals outlines some data needs identified by our Technical Advisory Panel, proposals are not restricted to these areas, and we welcome other ideas within the domain area that have a clearly articulated benefit. > Read more about Lacuna Fund’s open RFP in language data and apply on our website here <http://www.lacunafund.org/>. You can also sign up to receive future notifications of available funding. > Lacuna Fund is a funder collaborative between The Rockefeller Foundation, Google.org <http://google.org/>, and Canada’s International Development Research Centre, with an upcoming call for proposals on underserved languages also supported by the German development agency GIZ on behalf of the Federal Ministry for Economic Cooperation and Development (BMZ). The Fund is governed by a multi-stakeholder steering committee composed of technical experts, thought leaders, local beneficiaries, and end users. Collectively, the Fund’s stakeholders are committed to creating and mobilizing labeled datasets that both solve urgent local problems and lead to a step change in machine learning’s potential worldwide. > > <https://www.sun.ac.za/english/about-us/strategic-documents> > The integrity and confidentiality of this email are governed by these terms. Disclaimer <https://www.sun.ac.za/emaildisclaimer/default.aspx> > Die integriteit en vertroulikheid van hierdie e-pos word deur die volgende bepalings bereël.Vrywaringsklousule <https://www.sun.ac.za/emaildisclaimer/default.aspx>

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CfP with extended deadline: Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2020)
by Claudia Soria 24 Sep '20

24 Sep '20

**Deadline extended to: 13 October** Call for Extended Abstracts Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2020) collocated with the Eighth Swedish Language Technology Conference (SLTC) University of Gothenburg, Sweden 25th November 2020 https://gu-clasp.github.io/resourceful-2020/ The workshop will be held online. Important dates: - Submission of extended abstracts: 29th September 2020, extended to 13 October - Notification of acceptance: 23rd October 2020 - Final version: 10th November 2020 - Workshop date: 25th November 2020 All times are 11:59PM UTC-12:00 ("anywhere on Earth"). Workshop description All areas of natural language processing have achieved visible breakthroughs from the use of data-driven models. Contemporary machine learning is significantly influenced by techniques that rely on large datasets that demand substantial computational resources to solve practical problems in a tangible way (e.g. models based on transformers such as BERT, VilBERT, ALBERT, and GPT-2 that are pre-trained on large corpora of unlabelled data). However, many of the world’s languages lack the availability of linguistic description as well as of sufficiently large computer-readable corpora of linguistic material. Even those languages that are considered well-resourced have some domains where resources are scarce, for example corpora of dialogue and situated interaction. Another similarity of these domains with under-resourced languages is that since they focus on spoken or spoken-like interaction (either in a written or an audio form) they show a high variability of input data. Applying state-of-the-art deep-neural-network-based methods for the development of data-driven systems in such resource-constrained environments is a non-trivial task. For this workshop, we encourage contributions in the area of resource creation and representation learning in limited or low-resource environments that are tackling the above mentioned problems. In particular we would like to open a forum by bringing together students, researchers, and experts to address and discuss the following questions: - How can new resources be constructed or extended for languages and domains that lack standardised representations of linguistic units? - What experience from building resources for languages that have a good coverage today (for example Scandinavian languages) can be ported to building resources for under-resources languages and domains? - How to deal with the variability of data and its standardisation in machine learning approaches? - What algorithms and methods can we employ to transfer learning from related domains/languages that have good coverage? - What is the role of multi-task learning in this domain? - What representations can be learned and how effective are they in different low-resource scenarios? - How can newly created resources and learned representations be evaluated? - What ethical considerations are involved? Intended participants are researchers, PhD students and practitioners from diverse backgrounds (linguistics, computational linguistics, speech, machine learning etc). We foresee an interactive workshop with plenty of time for discussion, complemented with invited talks and short presentations of on-going or completed research. Submission We invite submissions of 2-page extended non-anonymous abstracts with any number of pages for references using the ACL/EMNLP template [1]. Papers related to our theme and already presented at other venues or have already been published elsewhere will be considered for acceptance for presentation as well. The abstracts will be reviewed by the workshop organisers and the accepted ones will be posted on the website, unless authors wish not to do so. There will be no workshop proceedings but post-proceedings may be organised depending on the interest of authors. [1]https://2020.emnlp.org/files/emnlp2020-templates.zip Extended abstracts should be submitted in the pdf format athttps://easychair.org/conferences/?conf=resourceful2020 Workshop organisers Tewodros Gebreselassie, University of Gothenburg Simon Dobnik, University of Gothenburg Barbara Plank, ITU, IT University of Copenhagen Lars Borin, University of Gothenburg resourceful2020(a)easychair.org https://gu-clasp.github.io/resourceful-2020/index.html -- Claudia Soria Researcher Istituto di Linguistica Computazionale "A. Zampolli" Consiglio Nazionale delle Ricerche Via Moruzzi 1 56124 Pisa Italy Tel. +39 050 3153166 Skype clausor

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2d Call For Participation : Advanced Language Processing School (ALPS) - January, 17-22 2021
by Laurent Besacier 24 Aug '20

24 Aug '20

--- SECOND CALL FOR PARTICIPATION Advanced Language Processing School (ALPS) January, 17-22 2021 Autrans (Grenoble area) - France We are opening the registration for the first Advanced Language Processing School (ALPS) in Grenoble, co-organized by University Grenoble Alpes and Naver Labs Europe. *Target Audience* This is a winter school covering advanced topics in NLP, and we are primarily targeting doctoral students and advanced (research) masters. A few slots will also be reserved for academics and persons working in research-heavy positions in industry. *Characteristics* This winter school aims to provide talks of renowned NLP researchers, as well as creating an ideal environment to foster collaborations The speakers are: - Isabelle Augenstein: _Interpretability and Explainability for NLP_ - Tim Baldwin: _Natural Language Processing for User Generated Content_ - Kyunghyun Cho: _Neural Sequence Modeling: Learning and Inference_ - Yejin Choi: _Neural Commonsense Knowledge and Reasoning_ - Grzegorz Chrupała: _Visually Grounded Models of Spoken Language and their Analysis_ - Claire Gardent: _Neural approaches to Natural Language Generation_ - Sanjeev Khudanpur: _Recent Advances in Automatic Speech Recognition (TBC)_ In addition to the talks, an important aspect of this school is the interaction between participants. The registration fee covers full board in a residence close to a ski resort, and some of the afternoons there will be organised social activities. In view of the current public health situation, we are preparing to hold the event virtually in case it will not be possible to do so physically in January. Registration fees will be adapted in that case. *Application* To apply to this winter school, please follow the instructions at http://alps.imag.fr/index.php/application/ <http://alps.imag.fr/index.php/application/> . The deadline for applying is July 31st, and we will notify acceptance in September *Contact* Website: http://alps.imag.fr/ Contact: alps2021(a)univ-grenoble-alpes.fr

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Fwd: [lift_members] [GdR LIFT] - prochaines journées LIFT - appel à contributions
by Laurent Besacier 08 Jul '20

08 Jul '20

> Début du message réexpédié : > > De: Yannick Parmentier <yannick.parmentier(a)loria.fr> > Objet: [lift_members] [GdR LIFT] - prochaines journées LIFT - appel à contributions > Date: 7 juillet 2020 à 16:25:54 UTC+2 > À: ln(a)groupes.renater.fr, lue-olki(a)univ-lorraine.fr, crem-sic-chercheurs(a)univ-lorraine.fr, tous_loria(a)loria.fr, lift_resp(a)inria.fr, lift_members(a)inria.fr > Répondre à: Yannick Parmentier <yannick.parmentier(a)loria.fr> > > ****************************** > Appel à communications > Journées LIFT, 10-11 Décembre > https://gdr-lift.loria.fr/ > ****************************** > > Le GdR LIFT (Linguistique Informatique, Formelle et de Terrain) organise deux journées de rencontres autour des thèmes de LIFT. Par ailleurs, deux thèmes spécifiques sont proposées pour ces journées : (i) Corpus arborés et syntaxe et (ii) Grammaire et Linguistique de terrain. L’objectif de ces journées est de favoriser les interactions entre linguistique informatique, linguistique formelle et linguistique de terrain, afin de favoriser le développement de recherches en linguistique qui tirent le meilleur parti des nouvelles technologies. > > En plus d’orateur.trice.s invité.e.s, ces journées incluent des moments d’échanges via la présentation de travaux de recherche en cours. Les personnes souhaitant présenter leurs travaux sont invitées à soumettre un résumé étendu (limité à 2 pages). Les résumés retenus pour présentation seront publiés dans les actes des journées (et téléversés dans l’archive ouverte HAL). La possibilité de passer certains résumés dans un format long pour publication dans une revue scientifique est à l’étude. > > Dates > > Soumission des résumés : 15 octobre 2020 > Notification aux auteurs : 7 novembre 2020 > Soumission des versions finales : 1er décembre 2020 > Journées scientifiques : 10-11 décembre 2020 > > Thématiques > > Les communications pourront porter sur tous les thèmes de LIFT ainsi que sur les thèmes des deux sessions spéciales (Corpus arborés et syntaxe; Grammaire et Linguistique de terrain), incluant, de façon non limitative: > > - Retours d’expérience concernant l’emploi et/ou le développement d’outils informatiques pour l’analyse linguistique > - Linguistique informatique et Science ouverte : perspectives ouvertes par le partage des données, des outils et des publications > - Modélisation informatique et linguistique formelle (théorie des langages formels, grammaires d’unification, théorie de la preuve…) > - Mise en dialogue des modèles linguistiques et des modèles d’apprentissage automatique (de tous types : approches génératives et discriminantes, approches statistiques neuronales, approches de type encodeurs-décodeurs…) > - Méthodes non supervisées ou faiblement supervisées pour l’analyse des langues peu dotées, peu écrites ou non documentées > - Réflexions au sujet de l’automatisation des processus d’analyse et de validation > > Toutes les propositions qui entrent dans les thèmes des journées d’étude sont les bienvenues. La présentation de travaux aboutis mais aussi de travaux en cours est possible. Les journées LIFT visent aussi bien à présenter des résultats qu’à susciter des discussions, notamment autour de travaux en cours pour lesquels les auteurs aimeraient développer des collaborations (par ex., expert en TAL souhaitent appliquer un outil sur des données langagières variées ; linguiste de terrain souhaitant automatiser une tâche d’annotation, etc.). > > Format > > En pratique, les résumés feront 2 pages maximum. Les soumissions devront être conformes aux lignes directrices officielles qui sont contenues dans les fichiers de style (https://mycore.core-cloud.net/index.php/s/YI4oEOQcw0vhQWj) et être en format PDF. Les articles sélectionnés seront présentés sous forme de poster. > > Lieu > > Selon la situation sanitaire et les règles en vigueur, les journées se feront soit en présentiel, soit en virtuel, soit dans une formule hybride avec des regroupements locaux permettant des rassemblements d’un nombre autorisés de personnes. Le lieu choisi sera aussi central que possible pour faciliter la participation à la conférence. Des bourses d’aide seront disponibles pour permettre à un maximum de personnes de participer. > > Comité d’organisation > > Yannick Parmentier, LORIA/Université de Lorraine > Thierry Poibeau, LATTICE/CNRS > Emmanuel Schang, LLL/Université d’Orléans > > Comité de programme > > A venir > > Conférencier.ière.s invité.e.s > > A venir

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Call for Participation: Dravidian-CodeMix - FIRE 2020 Shared Task on Sentiment Analysis for Under-resourced Languages
by John P. McCrae 13 Jun '20

13 Jun '20

Apologies for cross-posting ---- We are inviting researchers to participate in a shared task at FIRE 2020 on sentiment analysis for Dravidian languages in code-mixed text. Website: https://dravidian-codemix.github.io/2020/ The goal of this task is to identify sentiment polarity of the code-mixed dataset of comments/posts in Dravidian Languages (Malayalam-English and Tamil-English) collected from social media. The comment/post may contain more than one sentence but the average sentence length of the corpora is 1. Each comment/post is annotated with sentiment polarity at the comment/post level. This dataset also has class imbalance problems depicting real-world scenarios. Our proposal aims to encourage research that will reveal how sentiment is expressed in code-mixed scenarios on social media. The participants will be provided development, training and test dataset. Key Dates: Release of Trail data: 10 June Release of Training data: 10 June Release of Test data: 1 August Run submission deadline: 20 August Results declared: 31 August Paper submission: 20 September Revised paper: 30 October. 10th-13th December - FIRE 2020

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SLTU-CCURL2020 Proceedings now online!
by Claudia Soria 18 May '20

18 May '20

Dear SIGUL list members, we are very happy to announce that the SLTU-CCURL2020 Proceedings are available online: https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLb… <https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLb…> This year, LREC2020 would have featured an extraordinary event: the first joint SLTU-CCURL2020 Workshop, which was planned as a two-day workshop, with 54 papers accepted either as oral and poster presentations. The workshop program was enriched by two tutorials and two keynote speeches. We will miss the presentations, the discussions and the overall stimulating environment very deeply. We are thankful to ELRA and ISCA for their support to the workshop, to our Google sponsor and to the 60 experts of the Program Committee, who worked tirelessly in order to help us to select the best papers representing a wide perspective over NLP, speech and computational linguistics addressing less-resource languages. Looking forward to better times when we will be able to meet in person again, we hope that you will find these workshop proceedings relevant and stimulating for your own research. With our best wishes, Claudia Soria, Laurent Besacier, Dorothee Beermann, and Sakriani Sakti

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[2003.07082] Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
by Laurent Besacier 17 Mar '20

17 Mar '20

hi i thought some of you might be interested by this online paper best laurent ==== > > https://arxiv.org/abs/2003.07082 <https://arxiv.org/abs/2003.07082> > > Stanza: A Python Natural Language Processing Toolkit for Many Human Languages > > (Submitted on 16 Mar 2020) > We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization, multi-word token expansion, lemmatization, part-of-speech and morphological feature tagging, dependency parsing, and named entity recognition. We have trained Stanza on a total of 112 datasets, including the Universal Dependencies treebanks and other multilingual corpora, and show that the same neural architecture generalizes well and achieves competitive performance on all languages tested. Additionally, Stanza includes a native Python interface to the widely used Java Stanford CoreNLP software, which further extends its functionalities to cover other tasks such as coreference resolution and relation extraction. Source code, documentation, and pretrained models for 66 languages are available at this https URL <https://stanfordnlp.github.io/stanza>.

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Information about SLTU-CCURL 2020
by Laurent Besacier 17 Mar '20

17 Mar '20

Dear All, As a consequence of the COVID-19 pandemic LREC has been suspended. As a satellite event SLTU-CCURL 2020 is thereby also suspended. We, as workshop organizers, will adhere to the policy and decisions that will be taken by the LREC 2020 organizers. The Workshop Proceedings will be published as planned in early May. Acceptance notifications will be sent out by Wednesday, 18 March. The SLTU/CCURL 2020 Organizers

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