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SIGDial/INLG Call for Workshop & Tutorial Proposals
by Svetlana Stoyanchev 07 Feb '23

07 Feb '23

The 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial 2023) and the 16th International Natural Language Generation Conference (INLG 2023) will be held jointly in Prague on September 11-15, 2022. We now welcome the submission of workshop and tutorial proposals, which will take place on September 11 and 12 before the main conference. We encourage submissions of proposals on any topic of interest to the discourse, dialogue, and natural language generation communities. This program is intended to offer new perspectives and bring together researchers working on related topics. We especially encourage the sessions that would bring together researchers from SIGDial and INLG communities. Topics of interest include all aspects related to Dialogue, Discourse and Generation including (but not limited to) annotation and resources, evaluation, large language models, adversarial and RL methods, explainable/ethical AI, summarization, interactive/multimodal/situated/incremental systems, data/knowledge/vision-to-text, and applications of dialogue and NLG. The proposed workshops/tutorials may include a poster session, a panel session, an oral presentation session, a hackathon, a generation/dialogue challenge, or a combination of the above. Workshop organizers will be responsible for soliciting, reviewing, and selecting papers or abstracts. The workshop papers will be published in a separate proceedings. Workshops may, at the discretion of the SIGDial/INLG organizers, be held as parallel sessions. Submissions Workshop and Tutorial proposals should be 2-4 pages containing: title, type (workshop or tutorial), a summary of the topic, motivating theoretical interest and/or application context, a list of organizers and sponsors, duration (half-day or full-day), and a requested session format(s): poster/panel/oral/hackathon session, the number of expected attendees. The workshop proposals will be reviewed jointly by the general chair and program co-chairs. Links Those wishing to propose a workshop or tutorial may want to look at some of the sessions organized at recent SIGDial meetings: Natural Language in Human Robot Interaction (NLiHRI 2022) <https://2022.sigdial.org/call-for-papers-nlihri/> NLG4health 2022 <https://nlg4health.uvt.nl/> SummDial 2021 <https://elitr.github.io/automatic-minuting/summdial.html> SafeConvAI 2021 <https://sites.google.com/view/safety4convai/home> RoboDIAL 2022 <https://robodial.github.io/> BigScience Workshop: LLMs 2021 <https://bigscience.huggingface.co/> Interactive Natural Language Technology for Explainable Artificial Intelligence 2019 <https://sites.google.com/view/nl4xai2019/> https://www.inlg2019.com/workshop https://www.sigdial.org/files/workshops/conference18/sessions.htm https://inlg2018.uvt.nl/workshops/ Important Dates Mar 24, 2023: Workshop/Tutorial Proposal Submission Deadline April 14, 2023: Workshops/Tutorials Notifications The proposals should be sent to conference(a)sigdial.org Sincerely, SIGdial/INLG Program Committee

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Job alert: Research Fellow in Corpus Linguistics - University of Birmingham
by Michaela Mahlberg 07 Feb '23

07 Feb '23

The AHRC / DFG-funded project “Reading concordances in the 21st century (RC21)”, run jointly by the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg, is looking for a RESEARCH FELLOW IN CORPUS LINGUISTICS Application deadline: 26 Feb 2023 Interviews: week beginning 6 Mar 2023 Start date: 1 May 2023 or as soon as possible thereafter Contract type: fixed term for 21 months Contact: Prof. Michaela Mahlberg m.a.mahlberg(a)bham.ac.uk<mailto:m.a.mahlberg@bham.ac.uk> For more information and to apply visit: https://www.jobs.ac.uk/job/CWZ304/research-fellow-in-corpus-linguistics This is the second of two postdoctoral positions. The other post is based at FAU Erlangen-Nürnberg. PROJECT INFORMATION In today's digital world, the amount of text communicated in electronic form is ever-increasing and there is a growing need for approaches and methods to extract meanings from texts at scale. Corpus linguists have long been studying recurring patterns in digitised texts with the help of concordances, i.e. displays that show many occurrences of a word, phrase or construction across a range of contexts in a compact format. However, lacking a well-established and clear-cut methodology, the art of reading concordances has not yet realised its full potential. At the same time, there has been very little innovation in algorithms in the concordance software packages available to corpus linguists. This project proposes an innovative approach to reading concordances in the 21st century. Through the collaboration between the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg we combine strengths in theoretical work in corpus linguistics with expertise in computational algorithms in order to develop a systematic methodology for reading concordances and corresponding algorithms for the semi-automatic analysis of concordance lines. Through two case studies on English and German data sets, we will establish an approach that not only provides innovation in corpus linguistics, but also has wider implications for the analysis of textual data at scale, while still retaining a humanities perspective. Person Specification * First degree in area of specialism (English language or linguistics) and normally a PhD in corpus linguistics (or near to completion), linguistics, computational linguistics or equivalent qualifications * High level expertise in corpus linguistics * Knowledge of German * High level analytical capability * Ability to communicate complex information clearly * Fluency in relevant models, techniques or methods and ability to contribute to developing new ones * Ability to assess resource requirements and use resources effectively * Understanding of and ability to contribute to broader management/administration processes * Contribute to the planning and organising of the research programme and/or specific research project * Ability to manage own time efficiently and effectively * Co-ordinate own work with others to avoid conflict or duplication of effort, including collaboration across two institutions Main Duties The responsibilities may include some but not all of the responsibilities outlined below. * Analyse and interpret data under the supervision of the principal investigators * Apply knowledge in a way which develops new intellectual understanding * Disseminate research findings for publication, conferences, research seminars etc * Lead and co-lead work packages * Take responsibility for specific dissemination tools, such as project blog, workshops * Develop and maintain relevant project documentation * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to developing new models, techniques and methods * Undertake management/administration arising from research, including the * Contribute to writing bids for research funding * Contribute to Departmental/School research-related activities and research-related administration * Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader * Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews * Prepare presentations of research outputs, including drafting academic publications or parts thereof, for example at conferences and as posters * Provide guidance, as required, to support staff and any students who may be assisting with the research * Deal with problems that may affect the achievement of research objectives and deadlines --------------- Professor Michaela Mahlberg Director of the Centre for Corpus Research University of Birmingham Edgbaston Birmingham B15 2TT, UK Editor of the International Journal of Corpus Linguistics https://benjamins.com/catalog/ijcl Host of the Life and Language Podcast https://anchor.fm/michaela-mahlberg/ @MichaMahlberg<https://twitter.com/MichaMahlberg> http://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx https://www.turing.ac.uk/people/researchers/michaela-mahlberg https://www.linkedin.com/in/michaela-mahlberg/

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1-year Postdoc position in computational social science at Bocconi
by Dirk Hovy 07 Feb '23

07 Feb '23

We are looking for postdocs to work with us on MENTALISM! Over the last decade, discontent in democracy, mistrust in institutions, and the rise of populist parties have strained European societies. Underlying these tensions are often increasing inequalities in Western countries, which fuel the discontent of individuals. The Covid pandemic further exacerbated these problems, as anti-Covid measures taken by governments differently impacted societal groups. The MENTALISM project combines modern social media analysis with traditional survey data to track inequality across Italy through the lens of the pandemic. Our ground-breaking mixed-methods approach uses machine learning and text analysis to trace online grievances in a vast corpus of social media data. We combine these methods with survey protocols and econometric analysis to validate the findings and provide actionable policy advice. MENTALISM combines the advantages of social media data (high-frequency, individual-level information) with the strength of socio-economic surveys (representativeness). Our novel interdisciplinary approach will critically evaluate the value of social media monitoring for policy feedback. Moreover, it will establish protocols for policymakers to better respond to growing grievances brought on by inequality at various steps in the process. Successful candidates will work closely with Profs. Carlo Schwarz (economics), Dirk Hovy (NLP), and the MilaNLP lab. Your profile: a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. Strong interest in computational social science Excellent programming skills in Python. Additional languages (C++, R, etc) a plus. Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.). Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: Starting date: March 1 2023, or any time thereafter Duration: 1 year Deadline: 18th February 2023 Salary: 42k EUR p.a. (median salary Milan: 37k EUR). Applicants from outside Italy may qualify for a researcher taxation scheme Date posted: 18th January 2023 How to apply: Go to the Bocconi postdoc job market page <https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/bocconi/si…> and search for “BAFFI CAREFIN”. There are two positions, in13/A1 ECONOMICS and 01/B1 INFORMATICS. You will then have to click on “Apply online” for proceeding with the application. Official job description at this link <https://jobmarket.unibocconi.eu/include/dwload.php?a=MzQxXjE1YzQzZDE3NTVmOT…>. Candidates should attach publications and a cover letter to their application. Online interviews will presumably take place during March 2023. Please contact dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it> if you have any questions.

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CLEF-2023 CheckThat! Lab -- Call for Participation
by Wajdi Zaghouani 07 Feb '23

07 Feb '23

*CheckThat! Lab at CLEF 2023* We invite you to participate in the 2023 edition of the CheckThat! Lab at CLEF 2023. This year, we feature five tasks ---one follow-up and four new--- that correspond to important components within and around the full fact-checking pipeline in multiple languages: *Task 1 Check-worthiness in tweets*: This is the sixth round of the check-worthiness task. It allows us to reduce the workload of listening to social media for tweets and claims that would require the attention of a journalist. We offer two task modalities. Subtask 1A: Multimodal tweets including text and picture (for the first time!). Available in *Arabic *and English. Subtask 1B: Unimodal tweets and claims. Available in *Arabic*, English and Spanish. Subtask 1C: US political debates, text only. Available in English *Task 2 Subjectivity in news articles*: Distinguish whether a sentence from a news article expresses the subjective view of the author behind it or presents an objective view on the covered topic instead. Available in *Arabic*, Dutch, English, Italian, German, and Turkish. *Task 3 Political bias of news articles and news media:* Detect political bias of news reporting at the article and at the media level. It includes two subtasks: Subtask 3A: Given an article, classify its political leaning as left, center or right. Subtask 3B: Given the URL to a news outlet (e.g., www.cnn.com), predict the overall political bias of that news outlet as left, center or right leaning. Available in English. *Task 4 Factuality of reporting of news media:* Identify the factuality of reporting at the media level. Given the URL to a news outlet the task asks to predict the factuality of reporting of that news outlet: low, mixed, and high. Available in English. *Task 5 Authority finding on twitter: *Given a tweet stating a rumor, a model has to retrieve a ranked list of authority Twitter accounts that can help verify the rumor; i.e. they may tweet evidence that supports or denies the rumor. Available in Arabic. Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2023-checkthat-lab Register and participate: https://clef2023-labs-registration.dei.unipd.it/registrationForm.php Important Dates --------------------- November 2022: Lab registration opens December 2022: Release of the training materials April 2023: Lab registration closes May 2023: Beginning of the evaluation cycle May 2023: End of the evaluation cycle (run submission) May 2023: Deadline for the submission of working notes June 2023: Notification of acceptance of working notes July 2023: Deadline for submission of camera-ready working notes July 2023: Preview of working notes 18-21 September: CLEF 2023 Conference in Thessaloniki, Greece *Best,* The CLEF-2023 CheckThat! Lab Shared Task Organizers ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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CFP Slav-NER Shared Task: Call for Participation: 4th Slav-NER SharedTask on Named Entities in Slavic Languages
by Roman Yangarber 07 Feb '23

07 Feb '23

* Call for Participation * * The 4thSlav-NER Shared Task on Named Entities in Slavic Languages: <http://bsnlp.cs.helsinki.fi/shared-task.html> Recognition, Normalization, Classification and Cross-Lingual Linking <http://bsnlp.cs.helsinki.fi/shared-task.html> ** co-located with the Slav-NLP <http://bsnlp.cs.helsinki.fi/>Workshop, EACL 2023 http://bsnlp.cs.helsinki.fi/shared-task.html <http://bsnlp.cs.helsinki.fi/shared-task.html> TASK DESCRIPTION: The 4thSlav-NER Shared Task focuses on Named Entities in Slavic languages. Due to rich inflection, free word order, derivation, and other phenomena common to the Slavic languages, work on Named Entities poses important challenges. Fostering research & development on the problems of Named Entities — detecting names, lemmatization (normalization), classification, and cross-lingual matching — is crucial for information access and wider use of NLP in Slavic languages. The 4thSlav-NER Shared Task covers three languages: * Czech, * Polish, * Russian. and five types of named entities: * persons, * locations, * organizations, * events, * products. For information about training and test data, guidelines, and participation, please see the Shared Task Home Page. <http://bsnlp.cs.helsinki.fi/shared-task.html> IMPORTANT: Participants are NOT required to perform all tasks or for all languages. For example, a monolingual entry, without lemmatization of the names, can participate. The Shared Task focuses on cross-lingual extraction of named entities — the systems should recognize, classify, and extract all mentions of a name in a document; detecting the positionof each name mention is NOT required. Name mentions should be lemmatized, and mentions referring to the same real-world object should be linked across documents and languages. The text collection consists of sets of documents retrieved from the Web, each set about a certain major entity or event. The corpus was collected by crawling the Web and parsing the HTML documents. For background, see the details about the1stedition (2017) <http://bsnlp-2017.cs.helsinki.fi/shared_task.html>, 2ndedition (2019) <http://bsnlp.cs.helsinki.fi/bsnlp-2019/shared_task.html>and the3rdedition (2021) <http://bsnlp.cs.helsinki.fi/shared-task.html>of this shared task. Participation Teams that wish to participate should register via email to: bsnlp(a)cs.helsinki.fi, with the following information: * name of team, * team members, * contact person, * contact email. Important Dates * Shared task announcement: 11 January 2023 ⇒ Training data available * Registration deadline: 19 February 2023 * Release of Testdata to registered participants: 20 February2023 * Submission of system responses: 22 February 2023 * Results announced to participants: 24February 2023 * Submission of shared task papers (optional): 27 February 2023 * -- Roman Yangarber Associate Professor, University of Helsinki Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ e-Learning & language learninghelsinki.fi/revita <https://www.helsinki.fi/revita> Language Learning Labhelsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> Unioninkatu 40, Metsätalo A214 mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ RЯ <https://www.helsinki.fi/language-learning-lab>

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First Call for Papers: The 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 06 Feb '23

06 Feb '23

*LaTeCH-CLfL 2023:** **The 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature* to be held in May 2023 in conjunction with EACL 2023 in Dubrovnik, Croatia. https://sighum.wordpress.com/events/latech-clfl-2023/ First Call for Papers (with apologies for cross-posting) Organisers: Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz LaTeCH-CLfL 2023 is the seventh in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first six joint workshops (LaTeCH-CLfL) were held in 2017-2022. *Topics and Content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • linking and retrieving information from different sources, media, and domains; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for Authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the EACL stylesheets (for LaTeX / Overleaf and MS Word), posted at https://2023.eacl.org/calls/styles. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL2023 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important Dates* (tentative) Papers due: February 13, 2023 Notification of acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop date: May 2 or May 6, 2023 *More on the organisers* Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Nils Reiter, Department for Digital Humanities, University of Cologne Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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Fwd: Two post-doctoral fellowship positions at the National Research Council Canada
by Chi-kiu (Jackie) Lo 06 Feb '23

06 Feb '23

*Apologies for cross-posting* Postdoctoral Fellowships, National Research Council Canada The NRC Advantage Great Minds. One Goal. Canada's Success. The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year. We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC. At the NRC, we know that diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, a safe and respectful work environment, and contributing to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process. The Program (https://nrc.canada.ca/en/corporate/careers/postdoctoral-fellowship-program) The NRC’s Postdoctoral Fellowship program offers PDFs access to unique world-class facilities and the opportunity to work alongside multi-disciplinary teams of expert researchers and technicians on projects of critical importance to Canada. PDFs will carry out research on innovative research projects, with opportunities for career development (publications and/or industry interaction). Project I: Multilingual Machine Translation for Transforming Response to Refugees and Forced Migration There are more than 103 million displaced persons in the world today. While English remains the global language of policy exchange and studies, significant knowledge on refugee issues appears in other languages spoken where forced migration occurs. Machine translation (MT) improves the accessibility of relevant publications across different languages and facilitates fair and inclusive discussion among international stakeholders. However, challenges with in-domain multilingual neural machine translation (MNMT) limits the availability of efficient, affordable and manageable MT with usable translation quality for forced migration responses. The successful fellow will collaborate with external collaborators to create an in-domain multiway parallel corpus on forced migration. The corpus will then enable research on MNMT and its adaptation to the forced migration domain. Finally, the fellow will research on training MNMT to translate unseen languages efficiently with minimal resources. Having compassion about refugees and forced migration issues and ease in meeting with the forced migration communities around the world would be beneficial in this role. Due to the topic of the project, the successful candidate may frequently be working on and with data and clients about refugees and forced migration issues which may cause triggering responses. Education Requirement PhD in Computer Science, Computational Linguistics or related discipline. Experience Requirement • Hands on experience in end-to-end MT modelling and training. • Research experience in MNMT. • Research experience in parallel corpus building, domain adaptation, non-English centric MT or low resource MT. *Asset * *Assets are “nice-to-have” expertise and competencies we’re interested in. Not having them should not prevent you from applying.* • Ability to read Arabic, Spanish, Russian, Ukrainian, Burmese or Pashto would be an asset. Further Details and Application Portal https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Postdoctoral-Fell… Please contact Dr. Chi-kiu (Jackie) Lo (Chikiu.Lo(a)nrc-cnrc.gc.ca) for any enquiries about this project. Project II: Audio search and topic detection for audiovisual corpora in a polysynthetic Indigenous language NRC is searching for a recent PhD graduate to develop techniques for speech recognition and/or synthesis, using untranscribed audio corpora of speech in Indigenous, polysynthetic languages. Many such languages spoken in Canada have substantial collections of recorded speech. Language activists, academic linguists, and radio broadcasters have been recording the speech of Elders for decades, but so far only a small fraction has been catalogued, annotated, and transcribed. Thus, there are thousands of hours of recorded speech in Indigenous languages that are inaccessible in practice. The project will focus primarily on Inuktut, Cree, and/or Iroquoian languages. Alternative/additional languages are a possibility if appropriate datasets become available. Education Requirement PhD in computational linguistics, computer science or a related field. Experience Requirement • Experience in speech/natural language processing (NLP) technology. • Experience in either automatic speech recognition or speech synthesis. • Experience working with Indigenous languages and communities. Further Details and Application Portal https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Postdoctoral-Fell… Please contact Dr. Roland Kuhn (Roland.Kuhn(a)nrc-cnrc.gc.ca) and Dr. Patrick Littell (Patrick.Littell(a)nrc-cnrc.gc.ca) for any enquiries about this project. Condition of Employment Reliability Status Who is eligible? - Fellowships will be for two years contingent on satisfactory progress achieved during the first year. - Candidates should have obtained a PhD (or equivalent) within the past three years (PhD received on or after July 1, 2020) or expect to complete their PhD within 6 months of appointment. - Fellows will work in a lab under the direct supervision of an NRC researcher. Application Requirements In order to be considered for the program please include the following in your application, please note that you will need to attach the required documents as per the list below when submitting your application. *Failure to do so will result in your application being excluded from searches.* - Resume - Statement of Interest in the project (maximum one page in length) - PhD Transcript - an electronic copy is sufficient, it does not have to be an official version. - List of Publications In addition, applicants who best meet the requirements of the position will be asked to provide three letters of recommendation at a later stage of the competition process. Relocation Relocation assistance will be determined in accordance with the NRC's directives. Compensation The intent of this hiring action is to staff through the Postdoctoral Fellowships Program at the RCO-2/AsRO level, which is an early-career level position with a salary range of $74,230 to $103,093. *NOTE:* Salary determination will be based on a review of the candidate’s expertise, outcomes and impacts of their previous work experience relative to the requirements of the level. NRC employees enjoy a wide-range of competitive benefits <http://nrc.canada.ca/en/corporate/careers/nrc-advantage> including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements. Closing Date: 27 March 2023 - 23:59 Eastern Time *Dr. Chi-kiu (Jackie) Lo **羅致翹博士* Research Officer, Multilingual Text Processing Digital Technologies Research Centre National Research Council Canada Government of Canada Email: Chikiu.Lo(a)nrc-cnrc.gc.ca / Telephone: +1 613-993-5205 M50, 1200 Montreal Road, Ottawa ON, K1A 0R6 Canada

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2 Fully-funded Ph.D. Positions in Data Science at University of Rome Tor Vergata (Italy)
by fabio.massimo.zanzotto＠uniroma2.it 06 Feb '23

06 Feb '23

Do you want to work on cutting-edge problems for your Ph.D.? Come and join the Ph.D. in Data Science @ University of Rome Tor Vergata <https://datasciencephd.uniroma2.it> https://datasciencephd.uniroma2.it Special themes: [1] Privacy in Pre-Trained Language Models: Data leakage from pre-trained transformers (informal inquiries to <mailto:fabio.massimo.zanzotto@uniroma2.it> fabio.massimo.zanzotto(a)uniroma2.it) [2] Creation of a consolidated data model for ESG (Environment, Social and Governance ) reporting using Semantic Web formalisms (informal inquiries to stellato(a)uniroma2.it <mailto:stellato@uniroma2.it> ) The position is opening soon. Check the website ( <https://datasciencephd.uniroma2.it> https://datasciencephd.uniroma2.it) often. For the position [1], you will join a vibrant group working on these projects HitAI <https://sites.google.com/view/hitai> , KATY <https://katy-project.eu/> , REVERT <https://www.revert-project.eu/> and more. For the position [2], you will collaborate with OS-Climate <https://os-climate.org/>

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6th ESAO Webinar, Tuesday, February 14th, 2023 -- Call for Participation
by Cassia 06 Feb '23

06 Feb '23

Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike. The sixth of its regular webinar sessions will be held on *Tuesday, 14th, 2023 at 10:00 EST / 15:00 UTC / 16:00 CET / 17:00 SAST* via a Zoom meeting (full connection details at the end of this message): https://univ-tlse2.zoom.us/j/94831243675?pwd=NXpaalpLalQ5UTd3emNUR2VTNGpRZz… No registration needed; please find full connection details at the end of this message. Program ------- * 10:00-10:30 EST / 15:00-15:30 UTC / 16:00-16:30 CET / 17:00-17:30 SAST Title: Using Abduction to Explain Missing Entailments in OWL Ontologies Patrick Koopmann, TU Dresden Abstract: With increasing complexity, understanding and debugging ontologies becomes a challenging task without the appropriate tool support. In particular, inferences performed by a reasoner may not always be straight-forward, meaning they may produce entailments that we did not expect, or fail to produce entailments that we did expect. While there are different techniques to explain entailments, this talk focusses on the problem of explaining why something does not follow from the ontology. In particular, we explain how abduction may be used towards solving this issue, and discuss challenges and solutions for performing abduction in practice. Series Description ------------------ The IAOA [2] has created ESAO, a new educational effort directed towards topics of Applied Ontology, primarily established basics and foundations. The series is inspired by the Interdisciplinary Schools on Applied Ontology (ISAO) [3] (whose next edition will be held in 2023). ESAO is complementary in format and its overall approach. The goal is to provide a combination of an archive of educational material (e.g., short video lectures) and a series of webinars for presenting and discussing that material. Organization ------------ Members of the Education Technical Committee of IAOA [2] and among those primarily (in alphabetical order): * Lucía Gómez Álvarez * Frank Loebe * Sandra Lovrenčić * Cassia Trojahn (Chair) * Laure Vieu Contact E-Mail: info(a)iaoa.org [1] Educational Series on Applied Ontology https://wiki.iaoa.org/index.php/Edu:ESAO [2] IAOA website http://iaoa.org/ [3] ISAO History page https://iaoa.org/index.php/isao-history/ Connection Details ------------------ Topic: ESAO 6th Session Time: Feb 14, 2023 04:00 PM Paris Join Zoom Meeting https://univ-tlse2.zoom.us/j/94831243675?pwd=NXpaalpLalQ5UTd3emNUR2VTNGpRZz… Meeting ID: 948 3124 3675 Passcode: 710393 Join by SIP 94831243675(a)zoomcrc.com Join by H.323 162.255.37.11 (US West) 162.255.36.11 (US East) 221.122.88.195 (China) 115.114.131.7 (India Mumbai) 115.114.115.7 (India Hyderabad) 213.19.144.110 (Amsterdam Netherlands) 213.244.140.110 (Germany) 103.122.166.55 (Australia Sydney) 103.122.167.55 (Australia Melbourne) 209.9.211.110 (Hong Kong SAR) 149.137.40.110 (Singapore) 64.211.144.160 (Brazil) 69.174.57.160 (Canada Toronto) 65.39.152.160 (Canada Vancouver) 207.226.132.110 (Japan Tokyo) 149.137.24.110 (Japan Osaka) Meeting ID: 948 3124 3675 Passcode: 710393 Join by Skype for Business https://univ-tlse2.zoom.us/skype/94831243675

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Free online training event: #LancsBox X – 24 February 2.00-3.30pm
by Brezina, Vaclav 06 Feb '23

06 Feb '23

Dear all, We are organising a free event (online and in person) to mark the release of a brand new version of #LancsBox X, a very powerful tool for the analysis of corpora, which is completely free! Organized by The ESRC Centre for Corpus Approaches to Social Science (https://cass.lancs.ac.uk), Lancaster University, UK. The event will take place online via MS Teams. Attendance in person is also possible. -powerful tool: billions of words -new features -practical examples Register for free: https://forms.office.com/e/LBLqyZiqX9 I hope to see you at the event! Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [8ED5AC37]@vaclavbrezina [B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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