May 2023 - Corpora - ELRA lists

19th IEEE eScience Conference (eScience 2023): Fifth Call for Papers
by georgeangelos60＠gmail.com 17 May '23

17 May '23

*** Fifth Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: • Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions • Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Paper Award • Best Student Paper Award • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Paper Submissions Due: Friday, May 26, 2023 (AoE) • Notification of Paper Acceptance: Friday, June 30, 2023 • Poster Submissions due: Friday, July 7, 2023 (AoE) • Poster Acceptance Notification: Monday, July 24, 2023 • All Camera-ready Submissions due: Monday, August 14, 2023 • Author Registration Deadline: Monday, August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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2nd CALL FOR PAPERS: ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing, December 16-17, 2023
by Mourad Abbas 17 May '23

17 May '23

Second Call for papers 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. For more details, visit the conference website: https://www.icnlsp.org *CONTACT* icnlsp(at)gmail(dot)com

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PhD grant on Extracting information from clinical documents in a multilingual perspective
by Alberto Lavelli 17 May '23

17 May '23

*Extracting information from clinical documents in a multilingual perspectiveDeadline for application: June 7 2023, 13:00 CEST* One three-year PhD grant on Extracting information from clinical documents in a multilingual perspective is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS, http://hit.psy.unipd.it/BMCS) at the University of Padua, jointly with the Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English. The deadline for application is: June 7 2023, 13:00 CEST For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy). Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy. The Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language. To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Alberto Lavelli (lavelli(a)fbk.eu) The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market. ****Required/Preferred Candidate Skills and Competencies**** The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures and large language models). Experience on biomedical/clinical data will be a plus. Basic programming skills (e.g. Python) would complete the profile. Proficiency in English is required, basic knowledge of Italian preferable. ****Instructions for applicants**** Interested applicants are invited to apply following the instructions given in https://pica.cineca.it/unipd/dottorati39 by June 7 2023, 13:00 CEST For further information, please contact: Alberto Lavelli (lavelli(a)fbk.eu) -- -- 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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[2nd call] Postdoc position on Explainable NLP at the University of Copenhagen
by Isabelle Augenstein 17 May '23

17 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a postdoctoral position in Human-Centered Explainable Fact Checking with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the position can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group (www.copenlu.com/<http://www.copenlu.com/>). The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. The project team will consist of the principle investigator, two PhD students and postdocs each, collaborators from CopeNLU as well as external collaborators. The role of the postdoctoral researcher to be recruited in this call will be to research explainable fact checking with a focus on diverse user needs of end users in collaboration with the larger project team. More information about the project can also be found at: http://www.copenlu.com/talk/2022_11_erc/ Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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[2nd call] PhD position on Fair and Accountable Natural Language Processing at the University of Copenhagen
by Isabelle Augenstein 17 May '23

17 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Fair and Accountable Natural Language Processing, with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the positions can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The PhD fellowship is offered in the context of a project supported by the Carlsberg Foundation on understanding employer descriptions in job ads led by Pia Ingold and co-led by Isabelle Augenstein (https://www.carlsbergfondet.dk/da/Forskningsaktiviteter/Bevillingsstatistik…). The project team will further include one postdoctoral researcher at the Department of Psychology as well as external partners. The project will comprise studies using methods from experimental psychology, as well as analyses of two existing big datasets on job ads (one in Danish, one in German) using Natural Language Processing. The role of the PhD student to be recruited in this call will be to research fair and accountable Natural Language Processing methods, which can be used to understand what influences the employer images that organisations project in job ads. Informal enquiries about the position can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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CODI 2023: Call for Findings papers on Discourse
by Chloé Braud 16 May '23

16 May '23

Dear all, The 4th Workshop on Computational Approaches to Discourse (CODI), co-located with ACL 2023, is calling for Findings paper(s) that is accepted in EACL 2023 or ACL 2023 to be presented at the CODI workshop. If your work is relevant to discourse, and if you would like to present at CODI in Toronto this July, please submit your paper (in full) as an extended abstract at https://www.softconf.com/acl2023/CODI2023 as a *non-archival extended abstract*, and make a note that this is a Findings paper in the abstract window during submission. Feel free to also send us an email with your submission number. Note that the paper will not be reviewed. Many thanks, Amir, Chloe, Christian, Jessy, Michael, Sharid (CODI organizers)

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NLP Special Issue - submission deadline extension
by Florentina Hristea 16 May '23

16 May '23

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS 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: 0ctober 15, 2023 • Accepted papers will be published continuously in the journal (as soon as accepted). Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro fhristea(a)mailbox.ro https://cs.unibuc.ro/~fhristea/

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JLCL Vol. 36(1) has been published: Challenges in Computational Linguistics, Empiric Research & Multidisciplinary Potential of German Song Lyrics
by Roman Schneider 16 May '23

16 May '23

We are happy to announce a new special issue of the Journal for Language Technology and Computational Linguistics (JLCL) on https://jlcl.org : "Challenges in Computational Linguistics, Empiric Research & Multidisciplinary Potential of German Song Lyrics", edited by Roman Schneider (Mannheim) and Gertrud Faaß (Hildesheim), brings together inter- and multidisciplinary contributions on a text type that combines a multitude of styles and registers, shows features of written and spoken discourse, and can be seen as a representation of language diversity in the continuum between standard and non-standard language. The issue features the following articles: Valentin Werner: English and German pop song lyrics: Towards a contrastive textology Jan Langenhorst, Yannick Frommherz, Simon Meier-Vieracker: Keyness in song lyrics: Challenges of highly clumpy data Marco Gierke: Ist alte Schule oldschool? Zum "Nutzen" von Anglizismen in Deutschraptexten Katrin Hein: "Beinahe-ums-Leben-kommen-in-Regenpfützen" und "Chauvi-Macho-Macker-Stuss" – kreative Wortbildungen in Songtexten Elke Donalies: Phraseme im Songkorpus: Etabliertes in Anti-Establishment-Texten Sarah Broll, Roman Schneider: Empirische Verortung konzeptioneller Nähe/Mündlichkeit inner- und außerhalb schriftsprachlicher Korpora Gertrud Faaß, Helmut Schmid: Segmentierungs- und Annotationsverfahren für die Texte Udo Lindenbergs: Apostrophe und andere Herausforderungen Akshay Mendhakar, Mesian Tilmatine: Automatic Authorship Classification for German Lyrics Using Naïve Bayes You will find all articles here: https://jlcl.org

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Job Opportunity at Hannover University of Applied Sciences and Arts (Germany)
by christian.wartena＠hs-hannover.de 16 May '23

16 May '23

Dear All, I'm very pleased to announce that we (Hochschule Hannover, Germany) are looking to hire a computational linguist for the VidQA project. VidQA is a joint research project of the Institute for Applied Data Science Hannover (DATA|H) of the HsH, the research center L3S of the Leibniz University and the Technical Information Library (TIB). The aim of the project is the development and evaluation of new methods for the semi-automatic generation of comprehension questions and answers for learning videos. We pursue several research questions, such as the aspect of multimodality of video-based learning media, the generation of distractors ("wrong answers") for multiple-choice questions, and the automatic evaluation of answers in open-ended question formats. We are especially looking for candidates that already have some experience with (neural) language models and have goor programming skills. Basic knowledge of German is an advantage. The position is especially suited for candidates that want to wrtie a PhD thesis related to the project topics. Application deadline is June 13, 2023. Further details can be found at https://karriere.hs-hannover.de/werbung/beschreibung-900000104-10057.html Best regards Christian Wartena

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Two open PhD positions -- 3IA Côte d’Azur Interdisciplinary AI Institute -- Argument Mining
by Serena Villata 16 May '23

16 May '23

Two Open PhD Positions at Université Côte d’Azur, CNRS, Inria (France) on — Argument Quality Assessment and Improvement Keywords: argument mining, argument quality, argument generation — Argument-based counter narratives generation to fight online hate speech Keywords: hate speech detection, counter-argument generation, argument mining More details about the two PhD positions are available here: https://3ia.univ-cotedazur.eu/about/apply/call-for-applications-phd-postdoc… The PhD positions (3 years) is funded by the 3IA Côte d’Azur Interdisciplinary AI Institute (https://3ia.univ-cotedazur.eu/). -- Research fields -- Artificial Intelligence, Natural Language Processing, Argumentation, Machine Learning, Statistical Learning -- Candidate profile -- • Master degree in Artificial Intelligence, Data Science, Computer Science or Computational Linguistics is required. • Programming skills are required. • Knowledge of Natural Language Processing and Argumentation is preferred. • Fluent English required, both oral and written. French is appreciated but not mandatory. -- Application process -- Apply by sending an email directly to the supervisors (Elena Cabrio <elena.cabrio(a)univ-cotedazur.fr <mailto:elena.cabrio@univ-cotedazur.fr>> and Serena Villata <serena.villata(a)univ-cotedazur.fr <mailto:serena.villata@univ-cotedazur.fr>>). Deadline for applications: *** May 24th, 2023 *** The application must include: - Curriculum vitæ. - Motivation Letter. - Academic transcripts of a master’s degree(s) or equivalent. - At least one letter of recommendation

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2024

2023

2022

Corpora May 2023