- Corpora - ELRA lists

Fully Funded PhD Position (Belgium)
by ashwin.ittoo＠uliege.be 06 Jul '22

06 Jul '22

We are offering a fully funded, industry-sponsored PhD scholarship on the topic of Language Models. The selected candidate will have the opportunity to conduct research at the junction of industry and academia. She/he will also be part of an exciting team of data scientists & PhD researchers from the corporate and from the academic world. For more details, please see https://www.akadeus.com/announcement,a7165.html https://www.digitallab.be/en/

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[DEADLINE EXTENSION] [CFP] VarDial 2022 - Ninth Workshop on NLP for Similar Languages, Varieties and Dialects
by Scherrer, Yves 06 Jul '22

06 Jul '22

Co-located with COLING 2022, at VarDial we anticipate discussion on computational methods and on language resources for closely related languages, language varieties and dialects. We plan to organize VarDial 2022 as a hybrid workshop with options for both on-site and remote participation. We accept paper submissions until July 22, 2022 (details below). https://sites.google.com/view/vardial-2022 We welcome papers dealing with one or more of the following topics: - Language 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 the study of 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). Instructions for Authors Submissions should be formatted according to the COLING template and submitted in PDF format. The review process will be double-blind. More information on the website. Important Dates Submission deadline: EXTENDED TO JULY 22, 2022 (anywhere on earth) Notification of acceptance: August 22, 2022 Camera-ready papers due: September 5, 2022 VarDial Workshop at COLING 2022: October 16, 2022 Organizers Yves Scherrer - University of Helsinki (Finland) Tommi Jauhiainen - University of Helsinki (Finland) Nikola Ljubešić - Jožef Stefan Institute (Slovenia) and University of Zagreb (Croatia) Preslav Nakov - Qatar Computing Research Institute, HBKU (Qatar) Jörg Tiedemann - University of Helsinki (Finland) Marcos Zampieri - Rochester Institute of Technology (USA) Contact: yves.scherrer(a)helsinki.fi<mailto:yves.scherrer@helsinki.fi>

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Postdoctoral Researcher position in Artificial Intelligence and Natural Language Processing (SCAI-Sorbonne/BnF research program)
by Laure Soulier 06 Jul '22

06 Jul '22

--- apologies for cross-postings --- Dear colleagues, We have an open position for a postdoctoral researcher on natural language processing / information retrieval / machine learning (SCAI/BnF research program) Starting period: autumn 2022 Duration: 12-month postdoctoral contract, renewable) Location: Sorbonne university (ISIR lab in the MLIA team) / DataLab of the BNF Supervision: Laure Soulier, MCF in computer science at Sorbonne University, MLIA team, ISIR. Emmanuelle Bermès, Scientific and Technical Assistant to the Director of Services and Networks at BnF. Jean-Philippe Moreux, Scientific expert of Gallica at the BnF. More info: https://scai.sorbonne-universite.fr/public/news/view/27d72d260c950c8d66c6/1 _*Context*_ Gallica, the digital library of the BnF, contains nearly 10 million digitized documents that are freely accessible online (18.5 million visits per year). However, most users do not know that Gallica contains not only printed documents, but also photographs, sound recordings, videos, and 3D objects. In satisfaction surveys, only a minority of users consider the search engine's answers to be relevant and a majority would like to be better guided in their searches. A recommendation system should be able to help users find their way through the mass of collections and improve the visibility of the least known. In this project, BnF is committed to adopting a resolutely ethical approach. The exploitation of user logs must respect their privacy and guarantee both the relevance and transparency of the algorithms, avoiding the risk of filter bubbles. The interface design is also at the heart of the approach: a trustworthy system relies on a good user experience and on the diversity and relevance of the proposed recommendations. Three lines of thought emerge: 1) based on the available data, including both user logs and collection descriptions, how to develop predictive algorithms? 2) how to integrate diversity in the recommendation algorithm while leaving the choice to the user to moderate his serendipity threshold? 3) how to build user trust in algorithm design and audit? _*Main missions*_ This project consists in working on information access in the Gallica library, from the point of view of machine and deep learning techniques. The research axes concern (1) the analysis and indexing of textual documents as well as (2) the analysis of user traces and (3) recommendation systems. We are particularly interested in multimodal techniques that allow contextualizing a document or a query based on user interactions. The successful candidate will be responsible for: ● Implementing models to learn the semantics of textual data for the purpose of indexing them. ● Developing algorithms based on representation learning methodologies to effectively blend text and user traces. ● Reporting and presenting development work in a clear and effective manner, both for discussion with BnF experts and writing machine learning publications. The printed book collection will be the primary focus of the program described above, but an extension to other collections with textual descriptors (in particular iconographic collections) may be considered. -- ------------- Laure Soulier Maître de conférences Equipe MLIA - Laboratoire ISIR - Sorbonne Université Tour 26, Couloir 26-00, Bureau 515 (+33) 1 44 27 74 91 https://pages.isir.upmc.fr/soulier/

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Second Call for papers: 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) at EMNLP 2022
by Alberto Lavelli 06 Jul '22

06 Jul '22

[Apologies for multiple postings] *** SECOND CALL FOR PAPERS *** EMNLP 2022 Workshop - The 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) https://louhi2022.fbk.eu/ Colocated with EMNLP 2022, Abu Dhabi (7 December 2022) but also accessible online *Please, note that this year we use both the ACL Rolling Review (ARR) system and Softconf as paper submission platforms.* ARR Submission deadline: July 15, 2022 Direct submission deadline: 7 September 2022 ** Call for Papers ** The 13th International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass textual content of electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents. The LOUHI workshop series fosters interactions between the Computational Linguistics, Medical Informatics, and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized 12 times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal; LOUHI 2016 was co-located with EMNLP in Austin, Texas; LOUHI 2017 was held in Sydney, Australia; LOUHI 2018 was co-located with EMNLP in Brussels, Belgium; LOUHI 2019 was co-located with EMNLP-IJCNLP in Hong Kong; LOUHI 2020 was co-located with EMNLP; and LOUHI 2021 was co-located with EACL. LOUHI 2022 is soliciting papers describing original research. Papers must describe substantial and completed work but could also focus on other contributions, such as a negative result, a software package or work in progress. The topics include, but are not limited to, the following language processing techniques and related areas: - Techniques supporting information extraction, e.g., named entity recognition, negation and uncertainty detection - Classification and text mining applications (e.g., diagnostic classifications such as ICD-10 and nursing intensity scores) and problems (e.g., handling of unbalanced data sets) - Text representation, including dealing with issues of data sparsity and dimensionality - Domain adaptation, e.g., adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain - Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation - Unsupervised methods, including distributional semantics - Evaluation, gold/reference standard construction and annotation - Syntactic, semantic and pragmatic analysis of health documents - Anonymization / de-identification of health records and ethics - Supporting the development of medical terminologies and ontologies - Individualization of content, consumer health vocabularies, summarization and simplification of text - NLP for supporting documentation and decision making practices - Predictive modeling of adverse events, e.g., adverse drug events and hospital acquired infections - Terminology and information model standards (SNOMED CT, FHIR) for health text mining - Bridging gaps between formal ontology and biomedical NLP We welcome submissions on topics related to text mining of health documents, particularly emphasizing multidisciplinary aspects of health documentation and the interplay between nursing and medical sciences, information systems, computational linguistics and computer science. We also encourage submissions reporting work on low-resourced languages, addressing the challenges of data sparsity and language characteristic diversity. ** Important Dates ** ARR submission deadline: July 15, 2022 (via ARR) Direct submission deadline: 7 September 2022 Notification to authors: October 9, 2022 Camera-ready papers due: October 16, 2022 Workshop: December 7, 2022 ** Submission Instructions ** Submissions go through a double-blind review process, where each submission is reviewed by three program committee members. Accepted papers will be presented by the authors in a regular workshop session either as a talk or a poster. All accepted papers will be published in the workshop proceedings. The submissions should be in PDF format and anonymized for review. All submissions must be written in English and follow the EMNLP 2022 style guidelines: https://2022.emnlp.org/calls/style-and-formatting/ * Long paper submission: up to 8 pages of content, plus 2 pages for references; final versions of long papers: one additional page (so that reviewers' comments can be taken into account): up to 9 pages with unlimited pages for references * Short paper submission: up to 4 pages of content, plus 2 pages for references; final version of short papers: up to 5 pages with unlimited pages for references LOUHI 2022 will accept electronic submission both via ARR and Softconf. ** Invited Speaker ** TO BE ANNOUNCED Workshop Organizers: Alberto Lavelli (FBK, Trento, Italy) James Pustejovsky (Brandeis University, USA) Eben Holderness (Brandeis University, USA) Antonio Jimeno Yepes (RMIT University, Australia) Anne-Lyse Minard (University of Orleans, LLL CNRS, France) Fabio Rinaldi (Dalle Molle Institute for Artificial Intelligence Research - IDSIA, Switzerland & FBK, Trento, Italy) ** Programme Committee ** TO BE ANNOUNCED -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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FigLang 2022 (co-located with EMNLP 2022): Shared Task on Euphemism Detection
by Anna Feldman 05 Jul '22

05 Jul '22

https://sites.google.com/view/figlang2022/shared-tasks?authuser=0 *Euphemism Detection Shared Task* Euphemisms are mild or indirect expressions used in place of harsher or more offensive ones. Euphemisms are often used to mask profanity or refer to taboo topics such as death, disability, sex, religion or personal relationships in a polite way. Euphemisms are often ambiguous: their literal and non-literal interpretation is context-dependent: Asked to choose *between jobs* and the environment, a majority -- at least in our warped, first-past-the-post system -- will pick jobs. [non-euphemistic] vs. This summer, the budding talent agent was *between jobs* and free to babysit pretty much any time. [euphemistic] The state of the art language models perform well on many major NLP benchmarks; however, it is unclear how such models perform on euphemisms. Thus, we propose a euphemism detection task: given an input sentence, identify whether the sentence contains a euphemism. For more information about the shared task and to participate visit https://codalab.lisn.upsaclay.fr/competitions/5726 <https://www.google.com/url?q=https%3A%2F%2Fnam10.safelinks.protection.outlo…> . *Important dates:* - July 5, 2022: CodaLab competition is open; training data can be downloaded - Aug 5, 2022: Test data can be downloaded and results submitted; performance will be tracked on CodaLab dashboard - Aug 20, 2022: Last day for submitting predictions on test data - Sept 7, 2022: Papers describing the systems are due - Oct 9, 2022: Notification of acceptance - TBD, 2022: Camera-ready papers due - December 7 or 8, 2022: Workshop

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3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 05 Jul '22

05 Jul '22

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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CSIRO PhD Scholarship in NLP and Text Generation (First round application deadline: 8 July 2022)
by Wan, Stephen (Data61, Eveleigh) 05 Jul '22

05 Jul '22

Australia's publicly funded science organisation, the CSIRO, is offering a full PhD scholarship on the topic of: "Using AI and NLP to assist in scientific and technical document creation". Recent methods in artificial intelligence (AI) and natural language processing (NLP) have shown the tremendous potential of neural network language models for text generation. However, there are many areas that can still be improved through further research and development. These relate to issues such as: (1) the system-generated text is not factually consistent, with respect to the source documents, (2) inappropriate wording or style (e.g., formal vs informal) is present in the generated text, and (3) the coherence and overall readability of the passage is poor, even if the component sentences seem fluent. Working with text generation and document creation scenarios that utilise scientific and technical literature, the candidate will research solutions to problems like the ones described above. The candidate will draw on methods from NLP and user-centric approaches, noting that these AI methods often have the most impact when they consider the context of the user, or author, and the AI-collaborative scenario in which the generated text is being used. The successful candidate should have a passion for working with natural language data, an interest in linguistics, and a desire to research novel NLP algorithms and prepare new NLP data sets. Additional time to build up expertise in data science/machine learning/user-centered methods can be negotiated. For more details, please email Stephen.Wan(a)csiro.au, or apply at https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/ First round application deadline: 8 July 2022 Data61 PhD scholarships<https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/> Sydney, NSW Data61 PhD scholarships. Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. jobs.csiro.au ---------------------------------------------------------- Dr Stephen Wan Team Leader, Senior Research Scientist | Language and Social Computing Team CSIRO's Data61 E stephen.wan(a)data61.csiro.au T +61 2 93724703 W http://people.csiro.au/W/S/Stephen-Wan.aspx www.data61.csiro.au

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New NLP Special Issue
by Florentina Hristea 04 Jul '22

04 Jul '22

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS NEW IMPACT FACTOR 2.592 An Open Access Journal by MDPI link: https://www.mdpi.com/journal/mathematics Guest Editor: * Florentina Hristea, University of Bucharest Deadline for manuscript submissions: April 23, 2023 (Please note that this deadline will not be extended.) Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/mathematics/instructions> page. For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro> https://cs.unibuc.ro/~fhristea/

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[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 04 Jul '22

04 Jul '22

Dear colleagues and friends, *We invite submissions to a special issue on "Information Extraction and Language Discourse Processing" of journal Information <https://www.mdpi.com/journal/information> (ISSN 2078-2489).* *Special Issue Information* This Special Issue seeks novel research reports on the spectrum that blends information extraction and language discourse processing research in diverse communities. The editors welcome submissions along various dimensions derived from the nature of the extraction task, the advanced neural techniques used for extraction, the variety of input resources exploited, and the type of output produced. Quantitative, qualitative, and mixed methods studies are welcome, as are case studies and experience reports if they describe an impactful application at a scale that delivers useful lessons to the journal readership. Topics of interest include (but are not limited to): - Knowledge base population with discourse-centric information extraction (IE) - Coreference resolution and its impact on discourse-centric IE - Relationship extraction leveraging linguistic discourse - Template filling - Impact of pragmatics or rhetorics on information extraction - Discourse-centric IE at scale - Intelligent and novel assessment models of discourse-centric IE - Survey of discourse-centric IE in natural language processing (NLP) - Challenges implementing discourse-centric IE in real-world scenarios - Modeling domains using discourse-centric IE - Human–AI hybrid systems for learning discourse and IE *Submission Instructions* https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD *Deadline for manuscript submissions* Submissions to the SI will be accepted and published on a rolling basis until the close of the issue on 10 December 2022 Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang *Guest Editors*

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Final CfP: Onto4FAIR Workshop at SEMANTICS 2022
by Cassia TROJAHN 04 Jul '22

04 Jul '22

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 -------------- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -------------- Important dates -------------- - July 04, 2022 (11:59 pm, Hawaii time): Submission deadline - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -------------- Presentation -------------- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were laborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Submissions -------------- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair (https://easychair.org/conferences/?conf=onto4fair). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -------------- Program Committee -------------- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid Nicolas Matentzoglu, Semanticly Ltd María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano

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2024

2023

2022