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Deadline approaching: 7 July 2022. CSIRO Postdoctoral Fellowship in Natural Language Processing and Knowledge Extraction
by Wan, Stephen (Data61, Eveleigh) 01 Jul '22

01 Jul '22

Multiple CSIRO Early Research Career (CERC) Postdoctoral Fellowships are available in Natural Language Processing. Australia's CSIRO Data61<https://data61.csiro.au/> is looking for multiple CERC Fellows to join an NLP team of researchers and engineers to work on a number of public-good projects. NLP research areas of interest: information extraction, text summarization, question answering, semantic parsing, semantic role labelling, paraphrase detection and generation, and NLP for Information Retrieval. Domains of research: (1) Working with scientific literature, and (2) Computational Social Science About the CSIRO Postdoctoral Fellowship program: CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system. Relocation costs are supported for successful candidates. Location: Sydney, NSW Salary: AU$89k - AU$98k plus up to 15.4% superannuation Tenure: Specified term of 3 years Reference: 77986 Applications close: 7 July 2022 To be considered you will need: * A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science (Natural Language Processing/Computational Linguistics or Machine Learning with text data). * Experience using deep learning and other machine learning techniques in NLP. * High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences. * A sound history of publication in peer-reviewed journals and/or conferences. For more information or to apply, please visit: https://jobs.csiro.au/job-invite/77986/

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1st Call for Participation - EmoThreat: Emotions & Threat Detection in Urdu - CICLing 2022 track @FIRE 2022
by Sabur Butt 01 Jul '22

01 Jul '22

*EmoThreat: Emotions & Threat Detection in Urdu* CICLing 2022 track @FIRE 2022* Website: Link <https://sites.google.com/view/multi-label-emotionsfire-task/home> Registration is now open: Link <https://docs.google.com/forms/d/e/1FAIpQLSfWSPSM5wlgkucnhq3lDEsnWdaitwfq2EF…> The training set is now available. Participants are invited to publish Working Notes of FIRE 2022* *Task Description* With the growth of spread and importance of social media platforms, the effect of their misuse became more and more impactful. In particular, numerous posts contain abusive language towards certain users and hence worsen users’ experience from communication via such platforms, while other posts contain actual threats that potentially put platform users in danger. The Urdu language has more than 230 million speakers worldwide with vast representation on social networks and digital media. We encourage participants to participate in *EmoThreat: Emotion and Threat detection in Urdu (Nastaliq)* *Task A: Multi-label emotion classification in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-a> Task A requires you to classify the tweet as one, or more of the six basic emotions (plus neutral) which is the best representation of the emotion of the person tweeting. *Task B: Threatening Language Detection Task in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-b> Task B focuses on detecting Threatening language using Twitter tweets in Urdu language. This is a binary classification task in which participating systems are required to classify tweets into two classes, namely: Threatening and Non-Threatening. *Note: Participants in this year’s shared task can choose to participate in either one or both subtasks. Please visit the website for more information.* *Important Dates* 30th June – Training data release 25th July – Codalab submission link release (Task A) 31st August - Test set release (Task B) 10th September – Run submission deadline 17th September – Results declared 12th October - Working Note submission 26th October - Review Notifications 2nd November – Camera Ready Due 9th - 13th December - FIRE 2022 (Online Event) *Organizers* Sabur Butt, Instituto Politécnico Nacional, Mexico Maaz Amjad, Instituto Politécnico Nacional, Mexico Noman Ashraf, Mayo Clinic Arizona, United States Fazlourrahman Balouchzahi, Instituto Politécnico Nacional, Mexico Rajesh Sharma, University of Tartu, Estonia Grigori Sidorov, Instituto Politécnico Nacional, Mexico Alexander Gelbukh, Instituto Politécnico Nacional, Mexico *Contact* Email: emothreat2022(a)gmail.com Google-group: Link <https://groups.google.com/g/emothreat> *FIRE 2022: Link <http://fire.irsi.res.in/fire/2022/home> -- Sabur Butt *IPN - Computer Research Center*

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Open PostDoc position in Helsinki on High-Performance Language Technologies
by Tiedemann, Jörg 30 Jun '22

30 Jun '22

Link to the call: https://www.hiit.fi/open-positions/ Projects in the call: https://www.hiit.fi/artificial-intelligence-projects/ Deadline: 21 August at 11:59 pm UTC+3 The University of Helsinki is opening a position for a post-doctoral researcher as part of the EU project on High-Performance Language Technologies (HPLT). HPLT is a new EU-Horizon project in collaboration with 5 European universities (Prague, Edinburgh, Oslo, Turku and Helsinki), 2 HPC centers (in Norway and the Czech Republic) and one Spanish LT company on the development of language and translation models at scale. We propose a language data space and sustainable procedures to lower barriers to train large and competitive NLP models. The project focuses on multilinguality, reproducibility and openness. We will use modern high-performance compute infrastructures for scalable integration of data, code and models and we will create frameworks that are at the forefront of AI with language data. Reach out for more information and feel free to forward this message. Thank you! -- ***************************************************************** Jörg Tiedemann Language Technology https://blogs.helsinki.fi/language-technology/ University of Helsinki

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Associate professorship or tenure-track assistant professorship in Computational Linguistics and Natural Language Processing - applications by August 1. 2022
by Costanza Navarretta 30 Jun '22

30 Jun '22

Associate professorship or tenure-track assistant professorship in Computational Linguistics and Natural Language Processing ================================================================================================ The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for an associate professorship or a tenure-track assistant professorship in computational linguistics and natural language processing (NLP) to be filled by December 1st, 2022, or as soon as possible thereafter. The successful candidate will be attached to the Centre for Language Technology (CST), see Center for Sprogteknologi - Københavns Universitet (ku.dk)<javascript:void(0)>. CST conducts research in different areas of language technology, such as computational linguistics and natural language processing (NLP), language technology resources and the infrastructure around them, multimodal communication, computational cognitive modelling, digital humanities, and machine learning applied to NLP. The Centre has a strong international profile, at the same time as pursuing the development of language technology methods and resources for the Danish language. CST has considerable experience managing international research projects, frequently attracts visiting researchers and has organised major conferences in the field. Together with the Department of Computer Science of the University of Copenhagen, it offers an international MSc programme in IT and Cognition. The programme, which currently admits about 30 students a year, offers a range of courses in the areas of NLP, computer science, and cognitive Job requirements and content The candidate must demonstrate: · A research record in the field of computational linguistics and NLP · Knowledge of and experience with machine learning and deep learning methods applied to the study of language · Programming skills, preferably using Python · Relevant teaching experience at university level. The following qualifications constitute additional strengths: · A demonstrated interest in linguistics · Interest in and experience with human language technology applications The successful candidate will engage in cutting-edge research in computational linguistics and NLP in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment. The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding for research and development. Furthermore, the candidate will contribute with teaching to the MSc in IT and Cognition. More specifically, the candidate is expected to contribute to the Language Processing courses and to supervise students for thesis and electives projects within computational linguistics and NLP. For details about the qualification requirements and the application procedure: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=15… For further information about the position, please contact Head of Department, Anne Jensen, e-mail: annejensen(a)hum.ku.dk<javascript:void(0)> or Deputy Head of Department for research Bolette S. Pedersen, bspedersen(a)hum.ku.dk<javascript:void(0)>. The closing date for applications is 1 August 2022 at 23:59 [*CEST/CET] · Costanza Navarretta PhD, senior researcher/assoc.professor Centre for Language Technology Department of Nordic Studies and Linguistics University of Copenhagen DIR +45 35329079 costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>

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by Liudmila Rychkova 30 Jun '22

30 Jun '22

-- Liudmila Rychkova

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SIGSEM election: update your participation to its mailing list
by Raffaella Bernardi 30 Jun '22

30 Jun '22

Dear all, It is time to elect SIGSEM officers for the next three-year term. Candidates will be nominated via the SIGSEM mailing list [1]. If you would like to take part in the nomination and election process, make sure to be registered in the SIGSEM mailing list with the email address you check regularly. Best, Raffaella On Behalf of SIGSEM Board [1] http://www.sigsem.org/wiki/index.php?title=Join_SIGSEM ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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[CfP] 2nd SummDial: A SemDial 2022 Special Session on Summarization of Dialogues and Multi-Party Meetings
by Tirthankar Ghosal 30 Jun '22

30 Jun '22

***2nd SummDial: A SemDial 2022 <https://semdial2022.github.io/#> Special Session on Summarization of Dialogues and Multi-Party Meetings*** ***Website: https://elitr.github.io/automatic-minuting/summdial-2022.html *** ***Submission Deadline: August 1, 2022 *** ***Event Date: August 24, 2022 *** With a sizeable working population of the world going virtual, resulting in information overload from multiple online meetings, imagine how convenient it would be to just hover over past calendar invites and get concise summaries of the meeting proceedings? How about automatically minuting a multimodal multi-party meeting? Are minutes and multi-party dialogue summaries the same? We believe Automatic Minuting is challenging. There are possibly no agreed-upon guidelines for taking minutes, and people adopt different styles to record meeting minutes. The minutes also depend on the meeting's category, the intended audience, and the goal or objective of the meeting. We hosted the First SummDial Special Session at SIGDial 2021. Several significant problems and challenges in multi-party dialogue and meeting summarization came from the discussions in the first SummDial, which we documented in our event report <https://dl.acm.org/doi/10.1145/3527546.3527561>. Since we witnessed enthusiastic participation of the dialogue and summarization community in the first SummDial special session <https://elitr.github.io/automatic-minuting/summdial.html> ( https://elitr.github.io/automatic-minuting/summdial.html), we are hosting the Second SummDial special session at SemDial 2022 <https://semdial2022.github.io/#> (https://semdial2022.github.io/#). This year, we intend to continue discussing these challenges and lessons learned from the previous SummDial. Our goal for this special session would be to stimulate intense discussions around this topic and set the tone for further interest, research, and collaboration in both Speech and Natural Language Processing communities. Our topics of interest are Dialogue Summarization, including but not limited to Meeting Summarization, Chat Summarization, Email Threads Summarization, Customer Service Summarization, Medical Dialogue Summarziation, and Multi-modal Dialogue Summarization. Our shared task on Automatic Minuting (AutoMin) at Interspeech 2021 was another community effort in this direction. Our shared task on Automatic Minuting (AutoMin) <https://elitr.github.io/automatic-minuting/> at Interspeech 2021 <https://www.interspeech2021.org/> was another community effort in this direction. ***Call for papers*** We invite regular and work-in-progress papers that report: - Current research in multi-party dialogue summarization for summarizing meetings, spoken dialogue, using speech, text, or multi-modal data (audio, video), - Challenges in dialogue summarization evaluation (manual + automatic), - New methods and metrics for dialogue summarization evaluation, - Relevant corpus collection, pre-processing, development, and ethical issues involved, - Compare and contrast speech-specific systems to systems imported from text summarization, - Tools for meeting transcript generation and automatic summarization, - Topic detection and span identification in meeting transcripts for multi-topic summarization, - Position papers to reflect on the current state of the art in this topic, to take stock of where we have been, where we are, where we are going and where we should go. Researchers may choose to submit: - ***Long papers*** Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). - ***Short papers*** Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. - ***Position Papers*** Including extended abstracts, work-in-progress, and late-breaking papers. ***Submission Link*** https://easychair.org/my/conference?conf=summdial2022 Submissions should follow the ACL format. Papers that have been or will be submitted to other meetings or publications must provide this information using a footnote on the title page of the submissions. SummDial 2022 cannot accept work for a publication that will be (or has been) published elsewhere. ***Special Session Program*** The special session would consist of a keynote, a panel, oral and/or poster paper presentations. ***Organizers*** - Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal/>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic - Muskaan Singh, IDIAP, Switzerland - Xinnou Xu, University of Edinburgh, UK - Ondřej Bojar <https://ufal.mff.cuni.cz/ondrej-bojar>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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Workshop on Pronouns and Machine Translation
by Gongbo Tang 29 Jun '22

29 Jun '22

Dear colleagues, We are delighted to invite you to our public Workshop on Pronouns and Machine Translation, which will be held on-line on 19 August 2022. The workshop features a series of lectures on recent work related to understanding, modelling and evaluating pronouns and other discourse-level phenomena in neural machine translation and a panel discussion. Here is the link to the workshop: https://christianhardmeier.rax.ch/workshop/pronouns-and-mt-2022/ **Registration** Registration is free. Please sign up with the following link: https://uu-se.zoom.us/meeting/register/u50rd-qgrjoiGtK8YvlWZ1hecbzHsxp9oBRa **Draft Schedule** (Titles and abstracts will be available around the 10th August.) Time (UTC+2) Speaker 11:00-11:45 Sheila Castilho, ADAPT Centre, Dublin City University 11:45-12:30 Deyi Xiong, Tianjin University 12:30-13:00 Christian Hardmeier, Uppsala University/IT University of Copenhagen 13:00-13:30 Prathyusha Jwalapuram, Nanyang Technological University 13:30-14:00 Break 14:00-14:30 Panel discussion 14:30-15:00 Gongbo Tang, Uppsala University 15:00-15:30 Biao Zhang, University of Edinburgh 15:30-16:00 Kayo Yin, DeepMind/UC Berkeley Best Regards, Christian Hardmeier and Gongbo Tang När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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PhD position (Orsay and Montréal) : Statistical analyses of lexical distributions with an application to anomaly detection in natural texts
by François Yvon 29 Jun '22

29 Jun '22

[apologies for cross-posting] Dear all, We are offering a fully funded PhD position at the crossroads between Natural Language Processing and Information Theory. The proposed title is "Statistical analyses of lexical distributions with an application to anomaly detection in natural texts", and the thesis will be jointly supervised by: - François Yvon (LISN, CNRS), - Pablo Piantanida (ILLS, CNRS - University of Paris-Saclay) Application deadline: July 14th, 2022 The thesis will be a collaboration between LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) of Université Paris-Saclay and the ILLS (International Laboratory on Learning Systems) of McGill University jointly with ETS Montreal and MILA (Institut québécois d'intelligence artificielle) in Canada. Further information are available on the respective web sites: - LISN: https://www.lisn.upsaclay.fr/ - ILLS: https://www.mcgill.ca/channels/fr/channels/news/un-laboratoire-internationa… Applications should be submitted only via this link, where more information about the position is available: https://emploi.cnrs.fr/Gestion/Offre/Default.aspx?Ref=UMR9015-FRAYVO-009 If you are interested, please submit your application including the following elements: • Detailed CV, • Letter of motivation, • Details of transcripts (especially M1 and M2), • Elements of bibliography or personal achievements related to a research activity (e.g. master project, research internship subject, etc.), • 2 recommendation letters François Yvon and Pablo Piantanida --- F. Yvon LISN/CNRS 01 69 15 82 42 rue John Von Neumann Campus Universitaire d'Orsay - Bâtiment 508 91 405 Orsay Cédex http://perso.limsi.fr/yvon

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Two Open PhD Positions in Machine Learning at the Chair for Data Science in Würzburg
by Albin Zehe 29 Jun '22

29 Jun '22

The Data Science Chair at JMU Würzburg [1] as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions are bound to a project, with an initial duration of two years with the possibility of further extension. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the projects. The first project is focused on the development and application of methods to enrich live chats of typical stream platforms like Twitch.tv with links to relevant information: you will work with industry partners to analyse the current topics of discussions in live chats and provide links to the partners' websites with information about these topics. This will be done, for example, by developing metric learning methods to find accurate representations of the available content and matching them with the current topics as well as the users' interests. The second project, HydrAS [2] has a stronger focus on theoretical research. Here, you have the opportunity to work on our HypTrails method, which can be used to compare different hypotheses about user behaviour by means of bayesian statistics. HydrAS aims to extend this method with (semi-)automatic generation and testing of hypotheses as well as include more powerful statistical models like continuous time Markov chain models. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than July 15th, 2022, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://www.informatik.uni-wuerzburg.de/datascience/home/ [2] https://gepris.dfg.de/gepris/projekt/438232455?context=projekt&task=showDet… — Albin Zehe Chair for Computer Science X — Data Science University of Würzburg Am Hubland 97074 Würzburg phone.: +49-(0)931-31-83217 https://www.informatik.uni-wuerzburg.de/datascience/staff/zehe/

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2022

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