- Corpora - ELRA lists

R for Stylistics new application deadline
by Sara Bartl 30 Sep '22

30 Sep '22

Dear All, Could you please circulate the following announcement about the revised application deadline for the R for Stylistics Workshop? Thank you. Sara Bartl Dear Colleagues, Due to the high number of sign-ups for the R for Stylistics workshop, we have decided to close applications early. The new deadline is 7 October. R for Stylistics is a two-day (January 19-20, 2023), hands-on workshop for students and scholars of stylistics/literary linguistics who are eager to learn how to use the R programming environment to handle textual data. The workshop will follow an intensive two-day program in which participants will learn the basics of working with R and R Studio, as well as some methods of basic textual analysis with R. The workshop is best suited to advanced students (i.e. MA, PhD) and scholars of stylistics with no prior programming experience. For more information and to register/apply: https://docs.google.com/forms/d/e/1FAIpQLSf1Wrv14EmX2_hsXG_rt0IkxXPvnibl9Qd… Sara Bartl (she/they) @SaraBartl<https://twitter.com/SaraBartl> Doctoral Researcher English Language and Linguistics University of Birmingham Currently reading: Everything Under - Daisy Johnson

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PhD position on the topic of hate speech detection at University of Klagenfurt
by Wiegand, Michael 30 Sep '22

30 Sep '22

We are pleased to announce the following *PhD position* in the area of Natural Language Processing at the Digital Age Research Center (D!ARC) at the University of Klagenfurt to commence at the earliest opportunity. Level of employment: 75% (30hours/week) Minimum salary: € 32.116,00 per annum (gross), Classification according to collective agreement: B1 Limited to: 4 years Application deadline: open until filled Tasks and responsibilities: contributing to a new research project in the area abusive language detection/hate speech detection Prerequistites for the appointment: • A Master’s degree in the field of computational linguistics, linguistics, computer science or alike, graded with excellent success and corresponding knowledge in the field • Good programming skills (preferably Python) • Fluent in English (both spoken and written); knowledge in German is a plus Additional desired qualifications: • Familiarity with setting up annotation tasks via crowdsourcing • Experience with supervised learning, particularly state-of-the-art deep learning algorithms • Profound knowledge of publicly available NLP tools and resources • Experience with NLP on social media, particularly Twitter • Experience with web crawling and processing large amounts of textual data • Publications at scientific conferences and in journals in the field relating to the position • Social and communication skills, ability to work independently Our offer: The employment contract is concluded with a starting salary of € 2.294,00 gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the collective agreement). The University of Klagenfurt also offers: • Personal and professional advanced training courses, management and career coaching • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ • Diversity- and family-friendly university culture • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports The application: If you are interested in this position, please apply in German or English providing the usual documents: • Letter of application • Curriculum vitae • Proof of all completed higher education programmes (certificates, supplements, if applicable) • Other documentary evidence that may be relevant to this announcement (see prerequisites and desired qualifications) To apply, please send all your application materials to michael.wiegand(a)aau.at<mailto:michael.wiegand@aau.at>. Please also use this address for obtaining further information on this specific vacancy. General information about the university as an employer can be found at https://jobs.aau.at/en/the-university-as-employer/. The University of Klagenfurt aims to increase the proportion of women and therefore specifically invites qualified women to apply for the position. Where the qualification is equivalent, women will be given preferential consideration. People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.

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Webminar by Xiang Ren (University of Southern California - USC)
by HiTZ zentroa 29 Sep '22

29 Sep '22

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Xiang Ren (University of Southern California - USC) * *Title*: Commonsense Reasoning in the Wild * *Date*: October 6, 2022, 17:00 CET * *Summary*: Current NLP systems impress us by achieving close-to-human performance on benchmarks of answering commonsense questions or writing interesting stories. However, most of the progress is evaluated using static, closed-ended datasets created for individual tasks. To deploy commonsense reasoning services in the wild, we look to develop and evaluate systems that can generate answers in an open-ended way, perform robust logical reasoning, and generalize across diverse task formats, domains, and datasets. In this talk I will share our effort on introducing new formulations of commonsense reasoning challenges and novel evaluation protocols, towards broadening the scope in approaching machine common sense. We hope that such a shift of evaluation paradigm would encourage more research on externalizing the model reasoning process and improving model robustness and cross-task generalization. * *Upcoming webinars*: o Incorporating Commonsense Reasoning into NLP Models -- Vered Shwartz (November 3, 2022) o Title to be announced -- Maarit Koponen (December 1, 2022) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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Two research positions in University of Edinburgh MT group
by Barry Haddow 29 Sep '22

29 Sep '22

Hi We are looking for two researchers (at post-doc or pre-doc level) to work with us in Edinburgh on two new Horizon Europe projects. Both projects start in Autumn 2022 and run for 3 years. The first project (High Performance Language Technologies -- HPLT) will create an open platform that trains reproducible high-quality machine translation systems and language models. The project is gathering over a million GPU hours and 7 petabytes of data. Research in HPLT focuses on efficiency and models that apply to a wide range of languages. The second project (UTTER -- Unified Transcription and Translation for Extended Reality) aims to use large language models to develop scalable, adaptable, contextualised, emotion-aware and explainable technologies for translation, summarisation and transcription. The project will develop prototypes for a multilingual meeting assistant and for dialogue translation in customer care. The new researchers will work on problems related to these goals. For more information, and how to apply, see https://neural.mt/jobs/ best Barry The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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EACL 2023: Call for Papers
by Joel Tetreault 29 Sep '22

29 Sep '22

(apologies for cross-posting) *=== Important Information ===* Website: https://2023.eacl.org/ *Submission Deadline*: Thursday, 20 October 2022 *Conference Dates*: Tuesday, 2 May 2023 to 6 May 2023 *Location*: Dubrovnik, Croatia *Contact*: Alessandro Moschitti (General Chair): amoschitti(a)gmail.com // Isabelle Augenstein & Andreas Vlachos (Program Chairs): eacl2023pcs(a)googlegroups.com *=== Overview ===*The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023) invites the submission of long and short papers on substantial, original, and unpublished research on empirical methods for Natural Language Processing. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. EACL 2023 will follow EMNLP 2022 and go with a hybrid format with respect to ARR. This means that while EACL will accept ARR-reviewed papers, it will also accept submissions directly to EACL through the START system. However, in order to keep the review load on the community as a whole manageable, we ask authors to decide up-front if they want their papers to be reviewed through ARR or EACL. *Review Process:*Papers submitted directly to EACL will have the “regular” review process: paper reviewed by 3 reviewers, authors are invited to write an author response and revise their paper before the camera ready deadline, if accepted. ARR papers committed to EACL will be handled by the Senior Area Chairs. For these papers, the authors may provide an author response but not revise their paper (with the exception of adding the required “limitations” section, if it was missing from the ARR submission; see below). *Cross-Submission Policy with ARR:*Any ARR-reviewed paper that has received all of its reviews and meta-reviews available by the ARR-to-conference commitment deadline (January 8, 2023), can be committed to EACL 2023. Note: Submissions from ARR cannot be modified except that they can be associated with an author response. Note: While EACL will consider any ARR paper that has been fully reviewed by January 8, 2023, unlike for ACL and NAACL 2022, EACL does not guarantee a date such that all papers submitted to ARR before the date are guaranteed to receive necessary reviews in time for the EACL commitment deadline. Consequently, care must be taken in deciding whether a submission should be made to ARR or EACL directly if the work has not been submitted anywhere before the call. Plan accordingly. Note: The START system deadline for direct submission papers, namely non-ARR submission papers, is October 20, 2022. Papers submitted to ARR before October 13, 2022, can be withdrawn and submitted to EACL 2023. Note: In order for a paper to be submitted directly to EACL 2023, it must be inactive in the ARR system. This means that the submission must either be explicitly withdrawn by the authors, or the ARR reviews are finished and shared with the authors before October 13, 2022, and the paper was not re-submitted to ARR. Note: The authors can withdraw their paper from ARR by October 13, 2022, regardless of how many reviews it has received. Papers that are in the ARR system after October 13, 2022, either submitted after or submitted before and not withdrawn, cannot be directly submitted to EACL 2023. Papers submitted to EACL 2023 may not be submitted for review elsewhere (including ARR) while being under review at EACL 2023. *=== Important Dates ===*- Abstract registration deadline for START direct submissions: October 13, 2022 - Anonymity period begins: October 13, 2022 (same as the abstract registration date) - Direct paper submission deadline (long & short papers): October 20, 2022 - Author response period: December 6-12, 2022 - Commitment deadline for ARR papers: January 8, 2023 - Notification of acceptance (long & short papers): January 20, 2023 - Camera-ready papers due (long & short papers): February 10, 2023 - Workshops & Tutorials: May 2 and 6 2023 - Main Conference: May 3-5, 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). *=== Mandatory abstract submission ===*The paper title, author names, contact details, and a brief abstract must be submitted electronically through the EACL 2023 paper submission site by the abstract submission deadline (October 13, 2022). It will be possible to make minor edits to the title and abstract until the full paper submission deadline, but you cannot change authors and subject areas. Submissions with “placeholder” abstracts will be removed without consideration; Important: if you miss the abstract submission deadline, you cannot submit the full paper. *=== Submissions ===*EACL 2023 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Anaphora, Discourse and Pragmatics - Computational Social Science and Social Media - Dialogue and Interactive Systems - Document analysis, Text Categorization and Topic Models - Generation and Summarization - Green and Sustainable NLP - Information Retrieval and Search - Information Extraction - Interpretability and Model Analysis in NLP - Language Resources and Evaluation - Language Grounding and Multi-Modality - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning in NLP - Machine Translation - Multilinguality - Multidisciplinary and NLP Applications - Question Answering - Semantics: lexical - Semantics: sentence level and other areas - Sentiment Analysis and Argument Mining - Phonology, Morphology, and Word Segmentation - Tagging, Chunking, Syntax, and Parsing *=== Paper Submission Information ===* *Long Papers*Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Review forms will be made available prior to the deadlines. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendix; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. *Short Papers*Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendix. Upon acceptance, short papers will be given 5 content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. *Presentation Mode*Long and short papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and as posters. *Authorship* The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to EACL 2023 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to EACL 2023 after the abstract submission deadline. *Citation and Comparison*You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). While not citing such unpublished works upon submission is not sufficient grounds for paper rejection, you are expected to cite such relevant work in camera ready, if notified about it by reviewers. In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. However, you are expected to mention such works in your submission, and list their published results if they are directly relevant. For more information, see the ACL Policies for Submission, Review, and Citation: https://www.aclweb.org/adminwiki/index.php/ACL_Policies_for_Submission,_Rev… *Multiple Submission Policy* EACL 2023 will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the EACL 2023 review period. This policy covers all refereed and archival conferences and workshops (e.g., NeurIPS, ACL workshops), as well as ARR. In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to EACL 2023 must ensure that their submissions do not overlap significantly (>25%) with each other in content or results. EACL 2023 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR-to-conference submission deadline. However, EACL 2023 will not accept direct submissions that are actively under review in ARR, or that overlap significantly (>25%) with such submissions. *Mandatory Discussion of Limitations*We believe that it is also important to discuss the limitations of your work, in addition to its strengths. Following the EMNLP format, EACL 2023 requires all papers to have a clear discussion of limitations, in a dedicated section titled “Limitations”. This section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Papers without a limitation section will be automatically rejected without review. ARR-reviewed papers that did not include “Limitations” section in their prior submission, should submit a PDF with such a section together when they commit their papers to EACL 2023 via Softconf. While we are open to different types of limitations, just mentioning that a set of results have been shown for English only probably does not reflect what we expect. Mentioning that the method works mostly for languages with limited morphology, like English, is a much better alternative. In addition, limitations such as low scalability to long text, the requirement of large GPU resources, or other things that inspire crucial further investigation are welcome. *Ethics Policy*Authors are required to honor the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. Where a paper may raise ethical issues, we ask that you include in the paper an explicit discussion of these issues, which will be taken into account in the review process. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns with their work. Authors will be allowed extra space after the 8th page (4th for short papers) for an optional broader impact statement or other discussion of ethics. The EACL review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers or ACs will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional accept will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. *Paper Submission and Templates*Submission is electronic, using the Softconf START conference management system. Both long and short papers must follow the EACL 2023 two-column format, using the supplied official style files. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. *Verification*To guarantee conformance to publication standards, we will be using the ACL Pubcheck tool (https://github.com/acl-org/aclpubcheck). The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. *Optional Supplementary Materials: Appendices, Software and Data*Each EACL 2023 submission can be accompanied by an appendix, which will appear in the main paper’s PDF, after the bibliography. A submission may also be accompanied by one .tgz or .zip archive containing software, and one .tgz or .zip archive containing data. EACL 2023 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, anonymised related work (see above), preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy. *=== Anonymity Period ===*The following rules and guidelines are meant to protect the integrity of double-blind review and ensure that submissions are reviewed fairly. The rules make reference to the anonymity period, which runs from 1 week before the direct full paper submission deadline (starting October 13, 2022) up to the date when your paper is accepted or rejected (January 20, 2023). Papers that are withdrawn during this period will no longer be subject to these rules. - You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. Versions of the paper include papers having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length. - If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the programme chairs that a non-anonymized version exists. - You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period. - You may make an anonymized version of your paper available (for example, on OpenReview), even during the anonymity period. - For arXiv submissions, October 13, 2022 11:59pm UTC-12h (anywhere on earth) is the latest time the paper can be uploaded. *=== Instructions For Double-Blind Review ===*As reviewing will be double blind, papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. *=== Reproducibility Criteria ===*Reviewers will be asked to assess the reproducibility of the work as part of their reviews. The following are the criteria that reviews will take under consideration. For all reported experimental results: - A clear description of the mathematical setting, algorithm, and/or model. - Submission of a zip file containing source code, with specification of all dependencies, including external libraries, or a link to such resources (while still anonymized) - Description of computing infrastructure used - The average runtime for each model or algorithm (e.g., training, inference, etc.), or estimated energy cost - Number of parameters in each model - Corresponding validation performance for each reported test result - Explanation of evaluation metrics used, with links to code For all experiments with hyperparameter search: - The exact number of training and evaluation runs - Bounds for each hyperparameter - Hyperparameter configurations for best-performing models - Number of hyperparameter search trials - The method of choosing hyperparameter values (e.g., uniform sampling, manual tuning, etc.) and the criterion used to select among them (e.g., accuracy) - Summary statistics of the results (e.g., mean, variance, error bars, etc.) For all datasets used: - Relevant details such as languages, and number of examples and label distributions - Details of train/validation/test splits - Explanation of any data that were excluded, and all pre-processing steps - A zip file containing data or link to a downloadable version of the data - For new data collected, a complete description of the data collection process, such as instructions to annotators and methods for quality control. This list is based on Dodge et al, 2019 and Joelle Pineau's reproducibility checklist. *=== Presentation Requirement ===*All accepted papers must be presented at the conference—either on-line or in-person—in order to appear in the proceedings. Authors of papers accepted for presentation at EACL 2023 must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for EACL 2023 by the early registration deadline. More information can be found in the Committee blog. If you have questions that are not answered there, please email the program co-chairs at eacl2023pcs(a)gmail.com.

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Job: Research Assistant/ML Engineer
by Mihael Arcan 28 Sep '22

28 Sep '22

** *Applications are invited from suitably qualified candidates for a full-time, fixed term position as a Research Assistant with the Unit for Natural Language Processing (NLP) at the Data Science Institute, University of Galway. * * Project Background: **Candidates for this position should have an MSc or equivalent in a relevant field of study with an emphasis on areas such as machine learning and/or natural language processing. The candidate should have good programming skills in python (preferably experience with pytorch). The position is for a fixed period of 6 months with the possibility of extension, depending on the successful acquisition of project funding. **This positionis available in the context of the Insight SFI Research Centre for Data Analytics from November 1st2022 (or as soon as possible). The post is available in the context of a commercialisation project on language pattern detection for mental health issues. Essential Requirements: * MSc in Natural Language Processing or Computer Science * Relevant experience with natural language processing, machine and deep learning * Experience in classification task, including multiclass, multilabel, multiclass-multioutputclassification * Understanding of experimental design and scientific methodologies * Excellent programming skills in Python * Programming experience with deep learning (e.g. pytorch, transformers) Desirable Requirements: * Experience in data processing in health domain * Evidence of previously completed software projects, e.g. in github ** ** Employment permit restrictions apply for this category of the post. Salary: €27,380 – €36,786 per annum, (commensurate with qualifications and experience) To Apply: Applications, including a cover letter and CV in PDF and the contact details of three referees should be sent to Dr Mihael Arcan (mihael.arcan(a)insight-centre.org) *Closing date for receipt of applications is 5.00 pm 14th October 2022* *

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Where do you publish the datasets you create?
by Surangika Ranathunga 28 Sep '22

28 Sep '22

Dear Community NLP community usually quantifies the 'resourcefulness' of a language based on the datasets (annotated/unannotated) available in public repositories. However, our recent analysis on the LREC 2022 papers revealed that most of the datasets have not been published in these public repositories. In order to identify reasons for this, we created the below survey. Please spend 2mins responding to this survey. It is anonymous and raw data will NOT be published. The aggregated results will be published at an xCL venue. We hope our findings would be beneficial to the wider NLP community. Survey: https://forms.gle/nQbEBtUhEPxx2tux9 We will be collecting responses till Oct 8th. Regards Surangika Surangika Ranathunga, PhD Senior Lecturer, Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa surangika(a)cse.mrt.ac.lk

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2 PhD Positions in Clinical NLP and Decision Support at DFKI, Berlin
by Roland Roller 28 Sep '22

28 Sep '22

The Speech and Language Technology group of the German Research Center for Artificial Intelligence (DFKI), offers two research/PhD positions in clinical text processing and clinical decision support. The position is located in Berlin and would be in close collaboration with colleagues at DFKI, but also partially with clinical partners. Position 1: Clinical text processing Your tasks: The candidate will work within our team on topics related to (neural) information extraction, concept normalization and medical guideline matching. A PhD could be developed within the scope of the given tasks, but could address problems such as cross-domain/cross-language learning, few shot learning, knowledge integration or generation of synthetic (patient) data. This research brings the opportunity to test, interdisciplinary, novel technologies for medical care. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Good knowledge of and preferably hands-on experience with natural language technologies (tools and libraries) - Experience with python - Experience in machine learning (e.g. Pytorch, Spacy, Transformers…) - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Position 2: Clinical decision support: Your tasks: The candidate will work within our team on the development of machine learning models integrating longitudinal, semi-structured data, to support physicians and clinical staff. The field would be in the intersection of machine learning, natural language processing and explainability and would include interdisciplinary work. A PhD could be defined/developed within the scope of the given tasks. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Experience with python - Experience in machine learning or neural networks (e.g. Pytorch, SPacy, Transformers,...) - Preferably hands-on experience with medical data - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Successful applicants will be employed according to their qualifications. We offer excellent working conditions with interesting research topics in an interdisciplinary team at an internationally renowned research centre. The position is initially limited to the duration of the underlying project (until mid/end 2025). Severely disabled applicants with essentially the same professional and personal suitability will be given priority. The DFKI intends to increase the proportion of women in the science sector and therefore explicitly invites women to apply. We look forward to receiving your application documents. Please send them in electronic form to Roland Roller (roland.roller(a)dfki.de) and Philippe Thomas (philippe.thomas(a)dfki.de). Deadline: October 14. Applicants who submit their documents after the deadline may also be considered - depending on whether the position has already been filled.

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FIRST CALL FOR TASK PARTICIPATION: NTCIR-17 FairWeb-1 Task
by Nicola Ferro 28 Sep '22

28 Sep '22

http://sakailab.com/fairweb1/ # Overview The FairWeb-1 task is a new English web search task that considers both relevance and group fairness. Each of our search topic seeks information about specific entity types: R (researher), M (movies), T (Twitter accounts), and Y (YouTube contents); accordingly, we have four topic types: R-topics (e.g., information retrieval researchers) M-topics (e.g., Daniel Craig 007 movies) T-topics (e.g., Twitter accounts that provide info on COVID) Y-topics (e.g., Coldplay covers on YouTube) For evaluating group fairness, we consider the following attribute sets containing either ordinal or nominal groups: R-topics: h-index (ordinal) AND gender (nominal) M-topics: #reviews on IMDb (ordinal) AND geographic region (nominal) T-topics: #followers (ordinal) Y-topics: #subscribers of the YouTube account (ordinal) For R- and M-topics, we will evaluate intersectional groupfairness. For example, for each R-topic, we want the search engine result page (SERP) to contain information about researchers with varying levels of h-index (not just high h-index people), AND with different genders (not just "men"). # Task input/ouput INPUT: - a search topic (R, M, T, or Y) - attribute set(s) and target distribution(s) OUTPUT: - a TREC-style run (a SERP for each topic) # Evaluation method We will use the Group Fairness and Relevance (GFR) framework: please visit our webpage for details. # Timeline October 7, 2022 Release of 1st CFP with sample topics and evaluation protocol December 16, 2022 Pilot relevance assessments for the sample topics and a few pilot runs released; topic set size determined Dec 19-Feb 28, 2023 Topic development March 1, 2023 Topics released; task registrations due May 12, 2023 Run submissions due May 15-July 31, 2023 Entity annotations; runs evaluated August 1, 2023 Evaluation results and draft overview released September 1, 2023 Draft participant papers due November 1, 2023 Camera ready papers due December 2023 NTCIR-17@NII, Tokyo, Japan # Inquiries: fairweb1org(a)list.waseda.jp # Organisers: Sijie Tao, Nuo Chen, Tetsuya Sakai (Waseda University, Japan) Zhumin Chu (Tsinghua University, P.R.C.) Nicola Ferro (University of Padua, Italy) Maria Maistro (University of Copenhagen, Denmark) Ian Soboroff (NIST, USA) Hiromi Arai (RIKEN AIP, Japan)

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EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE
by Marco Polignano 27 Sep '22

27 Sep '22

* ***************************************************************************** EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE ***************************************************************************** EVALITA 2023is an initiative of AILC(Associazione Italiana di Linguistica Computazionale, AILC https://www.ai-lc.it/ <https://www.ai-lc.it/>). The final workshop will be held on **September 7th-8th in Parma, Italy**. As in the previous editions (https://www.evalita.it/ <https://www.evalita.it/>), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of Natural Language Processing and Speech for Italian. The participation is encouraged for teams working both in academic institutions and industrial organizations. TASK PROPOSAL SUBMISSION Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. In submitting your proposal, please bear in mind that we encourage: - challenging tasks involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by different levels of complexity, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - multilingual tasks, i.e. with data both in Italian and in other languages; - industrial tasks, i.e. tasks with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). *** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 17th 2022. *** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. NEW deadlines of the task proposal: - October 4th 2022 October 17th 2022: submission of task proposals - October 18th 2022 October 24th 2022: notification of task proposal acceptance NEW timeline of EVALITA 2023: - 7th February 2023: development data available to participants - 30th April 2023: registration closes - 2nd-19th May 2023: evaluation windows - 30th May 2023: assessment returned to participants - 14th June 2023: final reports (from participants) due to task organizers - 28th June 2023: final reports (from task organizers) due to EVALITA chairs - 10th July 2023: review deadline - 25th July 2023: camera ready version deadline - 7th-8th September 2023: final workshop in Parma EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR) *

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PhD position on hate speech and misinformation on social media, at the University of Tartu, Estonia
by Rajesh Sharma 27 Sep '22

27 Sep '22

Hello Everyone, I hope this email finds you well and sorry for cross-posting. Computational Social Science group (in the University of Tartu, Estonia) has a PhD position related to hate speech and misinformation on online social media. Please feel free to spread among your contacts. Deadline: 30 September. Please contact me before 30 Sept, as I will assist you in the application process (we need CV, motivation letter). We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898>

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PhD position on mental health at the University of Tartu
by Rajesh Sharma 27 Sep '22

27 Sep '22

I hope this email finds you well and sorry for cross-posting. Computational Social Science has a PhD position on the topic related to mental health. Please feel free to spread among your contacts. We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898> ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en&utm_medium=web&utm_sour…> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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PhD position in Conversational AI / Multilingual NLP - University of Groningen (NL)
by Bisazza, A. 27 Sep '22

27 Sep '22

We are looking for a PhD candidate in the areas of Natural Language Processing (NLP), Conversational AI and Multilingual NLP. Application Deadline: 2 October 2022 Job description: This 4-year salaried PhD position is embedded in the project “Low-Resource Chat-based Conversational Intelligence (LESSEN <http://lessen-project.nl/>), funded by the Dutch Research Council (NWO). The project’s consortium brings together a diverse set of academic researchers and industrial stakeholders aimed at developing safe and transparent chat-based conversational AI agents, based on state-of-the-art neural architectures. In this context, the selected PhD candidate will work on multilinguality-related challenges and opportunities, with the goal of improving conversational agents under data scarcity conditions. Besides enabling knowledge sharing among high- and low-resource languages and language variants, the project aims at empowering chatbots to handle code-switching utterances, which are common in many communities. Qualifications: We are looking for a motivated and enthusiastic student with a Master degree in computational linguistics, artificial intelligence, computer science, information science, or related areas. Machine learning skills are mandatory; experience with training and/or designing neural networks for language processing tasks is strongly desired; experience in conversational systems is a plus. Furthermore, an excellent knowledge of English and good academic writing skills are essential. Organisation: The PhD candidate will be based at the Centre for Language and Cognition of the University of Groningen (CLCG) and will collaborate with other researchers from the Lessen project. The research will be carried out in the context of the Computational Linguistics group ( https://www.rug.nl/research/clcg/research/cl/) of the CLCG research institute. Application Deadline: 2 October 2022 Start date: 1 January 2023 Find all details and apply here: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… For questions you can contact: Dr A. Bisazza, a.bisazza(a)rug.nl Please do NOT use the e-mail address above for applications. Please first check if your question is already answered at the application link <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> . -- Arianna Bisazza Assistant Professor University of Groningen http://www.cs.rug.nl/~bisazza

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Call for Participation: FEL XXVI Albuquerque 02-04 November 2022
by Steven Krauwer 27 Sep '22

27 Sep '22

Registration is now open for the 26th Annual Conference of the Foundation for Endangered Languages, to be held at the University of New Mexico, Albuquerque, New Mexico, 02-04 November 2022. The theme of this year’s conference is: Community ownership of language education for endangered language revitalization Invited speakers: Joel Isaak, Kenaitze Indian Trip, Kenai, Alaska “Teaching Dena'ina Literacy Through Culture” Melvatha Chee, University of New Mexico, Albuquerque, New Mexico “The Documentation of Indigenous Child speech and Child-Directed Speech” Conference web page here: https://www.ogmios.org/conferences/2022/index.php Register for the conference here: https://vonweber.nl/fel/registration_form.html Registration for the conference is required for both in-person and online attendance. In-person registration will close October 15, 2022. Remote registration will remain open throughout the conference. Local organizers Siri Tuttle and Wafa Hozien of Navajo Technical University will welcome participants on a first-day trip out of the city to Crownpoint, New Mexico, the home of Navajo Tech. To join this field trip, and to participate in a special conference dinner, registrants may sign up using this Google form: https://forms.gle/D7Mb8cCgHCV4ZKJp8 The costs of both events are included in the conference registration fee. -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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Fwd: Abstract deadline extension - 1st International Multimodal Communication Symposium (MMSYM)
by Multimodal Communication Symposium 27 Sep '22

27 Sep '22

Dear colleagues, On behalf of the organizing committee for the *1st International Multimodal Communication Symposium (MMSYM)*, we hope this message finds you well. We are writing to inform you that the* abstract submission deadline* has been extended until *October 7th*. Please find the Call for Papers below. ______________________________________ *Third Call for Papers: 1st International Multimodal Communication Symposium 2023* ***With apologies for multiple postings*** We are delighted to announce that the *1st International Multimodal Communication Symposium (MMSYM 2023)*, which will take place in Barcelona in April 2023 (27th-28th), has just issued a Call for Papers. The abstract submissions are now open. *Call for Papers: MMSYM 2023* *1st International Multimodal Communication Symposium, April 27-28 2023, Barcelona* The *1st International Multimodal Communication Symposium (**MMSYM 2023)* will be held from Thursday 27th to Friday 28th April 2023 at Universitat Pompeu Fabra in Barcelona, Catalonia. *MMSYM 2023* follows up on a tradition established by the Swedish Symposia on Multimodal Communication held from 1997 until 2000, and continued by the Nordic Symposia on Multimodal Communication held from 2003 to 2012. Since 2013, the symposium has acquired a broader European dimension, with editions held in Malta (2013), Tartu (2014), Dublin (2015), Copenhagen (2016), Bielefeld (2017), and Leuven (2019). To acknowledge its international ambition, this year, the symposium in Barcelona has updated its name to *1st International Multimodal Communication Symposium*. The symposium is locally organized at Universitat Pompeu Fabra with the support of the research groups collaborating within the GEHM network (GEstures and Head Movements in Language, https://cst.ku.dk/english/projects/gestures-and-head-movements-in-language-…), whose goal is to foster research into the way hand gestures and head movements interact with speech in face-to-face and human-computer multimodal communication. We welcome works aimed at exploring different approaches to multimodal communication, including research on multimodality in human communication and/or in human-computer interaction. In addition, this year’s symposium has a particular interest in three main research themes: 1) the language-specific characteristics of gesture-speech interaction 2) multimodal prominence 3) the conceptual and statistical modelling of multimodal contributions, with particular regard to head movements and the use of gaze. Therefore, we particularly encourage contributions dealing with––but not limited to––the three topics described above. The symposium will feature *keynote talks* by three confirmed invited speakers: - *Alan Cienki*, Professor of Language Use & Cognition and English Linguistics, Vrije Universiteit Amsterdam. Website: https://research.vu.nl/en/persons/alan-cienki - *Jelena Krivokapić*, Associate Professor in Linguistics, University of Michigan. Website: https://sites.lsa.umich.edu/jelenakrivokapic/ - *Catherine Pelachaud*, Director of Research, Institute of Intelligent Systems and Robotics, Campus Pierre et Marie Curie, Sorbonne Université. Website: https://www.isir.upmc.fr/personnel/pelachaud/ *Abstract submission guidelines* 1) Abstracts should be written in English and should not exceed 2 A4 pages (max. 700 words) including examples, figures and references. The format should comply with the MS Word model provided *here*: https://docs.google.com/document/d/1Eyi9laqglihk7OmfFWv8QsEd1jqzYjIi/edit?r… 2) Add at least three keywords to your submission. 3) Abstracts should be *anonymous* and submitted in pdf format. All references to authors should be omitted for purposes of blind review. 4) Authors may submit one abstract as first author and up to three abstracts as a co-author. Please use our *EasyChair* website for abstract submissions: https://easychair.org/conferences/?conf=mmsym2023 Abstracts received after the deadline will not be considered. Accepted abstracts will be allocated as either oral talk or poster presentation, and will be published in the book of abstracts. *Abstract submission*: October 7, 2022 *Notification of acceptance*: approximately December 15, 2022 For more information, please visit the symposium website at http://mmsym.org/ If you have any questions, do not hesitate to contact us at mmsym2023(a)gmail.com *Local organizing committee:* Pilar Prieto (coordinator) Florence Baills Júlia Florit-Pons Celia Gorba Sara Muñoz Mariia Pronina Patrick Rohrer Ïo Valls Ingrid Vilà-Giménez Xiaotong Xi Ting Yao Yuan Zhang *Program committee:* Patrizia Paggio (coordinator, University of Copenhagen) Jens Edlund (KTH Royal Institute of Technology, Stockholm) Marianne Gullberg (Lund University) David House (KTH Royal Institute of Technology, Stockholm) Maria Koutsombogera (Trinity College Dublin) Pilar Prieto (ICREA-Universitat Pompeu Fabra) Carl Vogel (Trinity College Dublin) Margaret Zellers (Kiel University) ------------------------------------------------ Please feel free to share the call with your colleagues/networks. Best wishes, -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023>

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Jobs: Tenure Track Assistant Professor in Computational Linguistics at Montclair
by Anna Feldman 27 Sep '22

27 Sep '22

The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023. [The position is open until filled.* Applications received by November 1 will receive fullest consideration.]* Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics. We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia. The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus. Link to submit your application: https://montclair .wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assistant-Professor-of-Linguistics-- Computational-Linguistics_R1002553 Further information about the department and the research interests of its faculty is available at http://www.montclair.edu/chss/linguistics/ COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences, offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics. The Montclair State Linguistics Department faculty are all actively engaged in research. THE UNIVERSITY Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment. QUALIFICATIONS Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics. DIVERSITY, EQUITY & INCLUSION STATEMENT Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen. As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students. SALARY RANGE Commensurate with experience STARTING DATE September 1, 2023 REQUIRED MATERIALS: · Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process. · 3 letters of recommendation, which can be sent to: lingsearch2022@ montclair.edu APPLY BY: The position is open until filled.* Applications received by November 1 will receive fullest consideration.* You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022(a)montclair.edu. AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION

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Job: open rank faculty position in quantitative methods of humanities research
by heather froehlich 26 Sep '22

26 Sep '22

The Department of Quantitative Theory & Methods at Emory University invites applications for a tenured or tenure-track faculty member with a specialization in quantitative methods of humanities research to begin fall 2023. We seek an exceptional, active researcher in any humanities discipline (or allied field, such as information studies or computer science) with strong interdisciplinary experience. The successful applicant will teach courses in quantitative methods and their applications in their discipline at both the undergraduate and graduate levels. We are especially interested in applicants with expertise in computational text analysis, computational image/audio/video analysis, humanities data analysis, and/or cultural analytics. The position is fully funded 9-month tenure-track, and open with respect to rank. The teaching load is competitive. A Ph.D. is required by time of appointment. QTM is a new and rapidly growing interdisciplinary department at Emory with faculty from a variety of disciplinary backgrounds including biology, computer science, economics, English, operations research, political science, public health, sociology, and statistics. The successful candidate must demonstrate excellence (or the promise of excellence) in research and teaching, as well as a strong ability to teach and mentor a diverse student body. The successful candidate will also demonstrate an interest in contributing to QTM’s intellectual mission. For a full list of ECAS faculty responsibilities, see: http://college.emory.edu/faculty/documents/faculty/faculty-responsibilities… For every search, diversifying our faculty is of primary importance. Emory has a diverse student body and values both vision and experience that will foster an inclusive learning environment. All faculty applicants will be required to complete a brief statement describing their experience and vision regarding the teaching and mentorship of students of diverse backgrounds. In addition to this statement, a complete application will also consist of a cover letter, curriculum vitae, research statement, teaching portfolio, writing sample of 20-25 pages, graduate transcript, and three letters of recommendation. Review begins October 1, 2022. Applications received by November 1, 2022 will receive full consideration. To apply for this position, please submit all materials through the following link. https://apply.interfolio.com/112362. best wishes, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Paid participant opportunity: legal and ethical issues of cross-border text and data mining
by heather froehlich 26 Sep '22

26 Sep '22

Dear all, The NEH-funded Legal Literacies for Text Data Mining, Cross-Border (LLTDM-X) <https://update.lib.berkeley.edu/2022/08/16/uc-berkeley-library-and-internet…> team seeks to compensate *10 U.S.-based* (living or working in U.S.) humanities and social sciences researchers with up to $800 stipends for discussing the legal and ethical issues they face or will face when conducting their cross-border text and data mining research. The project has previously created guidance around copyright, licensing, privacy, and ethical issues for the U.S. <https://berkeley.pressbooks.pub/buildinglltdm/> TDM (used broadly here- inclusive of any and all corpus and NLP projects) get more complicated, especially surroudning legal and ethical issues including but not limited to: + the materials you want to mine are housed in a foreign jurisdiction / are subject to foreign licensing or law, + the human subjects you are studying or who created the content you are studying reside in another country, or + the colleagues with whom you’re collaborating are abroad, and you are not sure whose law applies or what’s allowed. Their next steps are focused on corpora that are held or created beyond the U.S. border or that you access via foreign license agreements, as well as in collaboration with colleagues around the world on cross-border TDM projects. Participation in this roundtable will contribute to a Springtime NEH institute focused on cross-border text and data mining initiatives. Please see full details of how to apply to participate here, including an assessment guideline: https://buildinglltdm.org/2022/09/26/seeking-text-data-mining-researchers-f… . best wishes, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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CfP for IJEAP Special Issue
by Eniko Csomay 26 Sep '22

26 Sep '22

Call for Abstracts for the 2024 *International Journal of English for Academic Purposes *Special Issue *Corpora and English for Academic Purposes * Guest Editor: Eniko Csomay The goal of the special issue is to offer an overview of the latest developments and innovations in the study of language in the academia with special emphasis on using corpora. The special issue welcomes studies from · all academic levels (primary/elementary, secondary, and tertiary including undergraduate and graduate) · all spoken and written registers as they relate to the academic context (e.g., TED talk language in training teaching associates, classroom discourse, student writing, academic prose, etc.) · all educational contexts where English is the medium of instruction (EMI), and · all research paradigms including corpus-driven, corpus-based, corpus-informed qualitative/quantitative methods including analyses of written texts, transcribed oral texts, and/or multimodal corpora. The journal makes all articles open access (free of charge) and all submissions go through a double blind review by experts in the field. Articles for this special issue are solicited by submission as well as by invitation. Suggested topics include but are not limited to · university classroom discourse · language use within and across disciplines · student writing at the university (whether in the classroom or under testing conditions) · the language of content-based instruction in Ø dual language schools and/or immersion programs (e.g., high school) Ø tertiary education (university, vocational school) · the language of EMI contexts · multimodal corpora · language training for teaching associates · the use of corpora with young learners · international perspectives on academic language use Abstracts should describe empirical studies and include implications. Full-length articles will be 7,000 words including references and appendices. Please send a max. 600-word abstract without author(s) names. On a separate sheet, include each author’s name, title of the article, affiliation, mailing address, e-mail address, telephone number, and a 50-word biographical statement. The deadline for abstracts is October 25, 2022. Please send abstracts and inquiries to the guest editor, Eniko Csomay at ecsomay(a)sdsu.edu. *Timeline:* September 25, 2022 Call for Papers October 25, 2022 Submission of abstracts November 5, 2022 Invitation to submit to special issue (based on abstracts and invitations) May 1, 2023 Manuscript submission June 10, 2023 Completion of first round of review August 1, 2023 Revised manuscript submission (based on first round of reviews) September 10, 2023 Completion of second round of reviews November 1, 2023 Final submission November 15, 2023 Manuscripts to be sent to the publisher to work with authors on proofs March 2024 Publication -- Eniko Csomay <https://linguistics.sdsu.edu/people/csomay>, Ph.D. Professor Department of Linguistics and Asian/Middle Eastern Languages <http://linguistics.sdsu.edu/> San Diego State University San Diego, CA 92182-7727 Office phone: (+1) 619.594.3377 Graduate advisor (2021-2024) Senator, Academic Senate, California State University (ASCSU <http://www.calstate.edu/AcadSen/>) (2018-2024) Chair, General Education Advisory Committee (GEAC <https://www.calstate.edu/csu-system/administration/academic-and-student-aff…>), ASCSU (2022-2023) Vice Chair, General Education Advisory Committee (GEAC <https://www.calstate.edu/csu-system/administration/academic-and-student-aff…>), ASCSU (2020-2022) Member, Academic Affairs Committee (AA <https://www.calstate.edu/csu-system/faculty-staff/academic-senate/Pages/Aca…>), ASCSU (2019-2023) Co-editor of *The Routledge Handbook of Corpora and English Language Teaching and Learning* <https://www.routledge.com/The-Routledge-Handbook-of-Corpora-in-English-Lang…> Co-editor for Journal of Corpora and Discourse Studies <https://jcads.cardiffuniversitypress.org/> Editorial Board member for Journal of English for Academic Purposes <https://www.sciencedirect.com/journal/journal-of-english-for-academic-purpo…> , English for Specific Purposes <https://www.sciencedirect.com/journal/english-for-specific-purposes>, International Journal of English for Academic Purposes <https://www.liverpooluniversitypress.co.uk/journals/id/94/> Associate Dean, (SDSU) College of Arts and Letters <http://cal.sdsu.edu> (2009-2016) President, Fulbright Alumni Association, San Diego Chapter (2013-2018) English Language Specialist (2009 Morocco, 2015 Hungary, 2022 Taiwan) Fulbright Scholar (1995-1996) British Council Fellow (1992-1993) Soros-Oxford Fellow (1990-1991)

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Call for Participation: SemEval-2023 Shared Task 3 - Genre, Framing, and Persuasion Techniques Detection in Online News in a Multi-lingual Setup
by joedsm＠gmail.com 26 Sep '22

26 Sep '22

We are glad to invite you to participate in the SemEval-2023 Shared Task 3 on detecting the genre, the framing, and the persuasion techniques in online news. The main drive behind this task is to foster development of methods and tools to support the analysis of online media content in order to understand what makes a text persuasive: which writing style is used, what key aspects are highlighted, and which persuasion techniques are used to influence the reader. The data used for for this task is made of articles collected from 2020 to mid 2022, they revolve around a range of widely discussed topics such as COVID-19, climate change, abortion, migration, the Russo-Ukrainian war, and local elections. The data presents several novelties: it is multilabel, multilingual, uses an updated taxonomy of persuassion techniques and covers complementary dimensions of what makes a text persuasive. Are you interested in using AI systems to analyse political speech, media bias or rhetorics? Then you should not miss this task!!! URL https://propaganda.math.unipd.it/semeval2023task3/ TASKS We offer three subtasks on news articles in six languages (English, French, German, Italian, Polish, and Russian). Subtask 1: NEWS GENRE CATEGORISATION Given a news article, determine whether it is an opinion piece, aims at objective news reporting, or is a satire piece. This is a multi-class task at article-level. Subtask 2: NEWS FRAME CATEGORISATION Given a news article, identify the generic frames used in the article. This is a multi-class task at article-level. Subtask 3: PERSUASION TECHNIQUE DETECTION Given a news article, identify the persuasion techniques in each paragraph. This is a multi-label task at paragraph level. PARTICIPATION & EVALUATION The participants may take part in any number of subtask-language pairs (even just one), and may train their systems using the data for all languages (in a multilingual setup). To promote the development of language-agnostic solutions, there will be also two "surprise" languages for which we will release only test data for evaluation purposes. IMPORTANT DATES 23 September 2022: Registration opens 23 September 2022: Release of the first batch of the training\development set (next batches will follow regularly). 12 January 2023: Release of the test set 22 January 2023: Test submission site closes February 2023: Paper Submission Deadline March 2023: Notification to authors April 2023: Camera ready papers due Summer 2023: SemEval 2023 workshop TASK ORGANIZERS Giovanni Da San Martino, Preslav Nakov, Jakub Piskorski, Nicolas Stefanovitch

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Postdoctoral position at Cardiff University
by Steven Schockaert 26 Sep '22

26 Sep '22

Location: Cardiff, UK Deadline for applications: 17th October 2022 Start date: 1st January 2023 (or later) Duration: 30 months Keywords: learning & reasoning, natural language processing, commonsense reasoning Details about the post Applications are invited for a Research Associate post in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing common sense reasoning strategies, based on graph neural networks, to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available here: https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partner… Background about the ReStoRe project When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works. The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective. To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned. The solution that is proposed in this fellowship is based on representations called story graphs. These story graphs encode the events that occur, the entities involved, and the relationships that hold between these entities and events. A story can then be viewed as an incomplete specification of a story graph, similar to how a symbolic knowledge base corresponds to an incomplete specification of a possible world. The proposed framework will allow us to reason about textual information in a principled way. It will lead to significant improvements in NLP tasks where a commonsense understanding is required of the situations that are described, or where information from multiple sentences or documents needs to be combined. It will furthermore enable a step change in applications that directly rely on structured text representations, such as situational understanding, information retrieval systems for the legal, medical and news domains, and tools for inferring business insights from news stories and social media feeds.

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CFP - SIGIR Forum - December 2022 Edition
by Tirthankar Ghosal 26 Sep '22

26 Sep '22

CFP - SIGIR Forum - December 2022 Edition ===================================== Dear Colleague We invite you to submit your contribution to the upcoming December 2022 Edition of the SIGIR Forum, the official newsletter of the ACM Special Interest Group on Information Retrieval (SIGIR). The SIGIR Forum consists of two issues (June, December). It serves as a medium for disseminating general information and opinions on matters of interest to the IR community, conference and workshop reports, papers and book reviews, and Ph.D. dissertation abstracts. *** Call for Contributions for the December 2022 issue *** We invite contributions to the following categories, including: - Reports of IR-related conferences and workshops: Reports from the chairpersons of IR-related workshops (such as the satellite workshops of SIGIR, JCDL, or CIKM, or other workshops such as NTCIR, INEX) or IR-related conferences other than SIGIR (such as ECIR, HLT, CHIIR, SPIRE, or TREC); - Papers from IR-related invited talks which are not published in full in the relevant conference proceedings; - Papers describing new public infrastructures for IR research, such as in-depth descriptions of newly available test collections, newly available open-source or public domain IR software of particular relevance, new evaluation campaigns, etc.; - Papers about funding initiatives, industry trends, connections between research and industry, legal issues that are of potential interest to the IR community at large; - Any paper that, while of general interest to the IR community, is non-technical, and because of this would be unsuitable for publication in technical publishing forums such as the SIGIR Annual Conference; - Book reviews, bibliographies of general interest to the IR community; - Abstracts of recently published Ph.D. theses of interest to the general IR community. Note: Unless specifically stated, contents of the SIGIR Forum do not represent the official position of SIGIR or ACM. Contributions to the Forum are unrefereed papers unless otherwise indicated. The editorial board may desk-reject papers if they are out of scope. From June 2020 onwards, the SIGIR Forum newsletter is continuing only online. *** Important dates for the December 2022 Edition *** - 11 November 2022: Deadline for contributions - December 2022: Online publication *** Submission Instructions *** Kindly see http://sigir.org/forum/ for details on previous issues, template, and submission instructions and checklist. For inquiries about contributions, please contact the editors at editors_SIGIR(a)acm.org Tirthankar Ghosal (UFAL, Charles University, Prague) Josiane Mothe (IRIT, Univ. de Toulouse) Julián Urbano (Delft University of Technology) -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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Job announcement: postdoc in the NLP group at the University of Mannheim
by Simone Paolo Ponzetto 26 Sep '22

26 Sep '22

Dear all, I am looking for a postdoctoral researcher to join us in the NLP group at the University of Mannheim [1,2]. Duties include teaching in our BSc and MSc Business Informatics and Data Science programs and contributing to the research activities of the group. Candidates should have a PhD in CL/NLP, computer science or a related discipline, a proven academic track record (as demonstrated by publications at top-tier conferences) and be good team players. Due to the position involving bachelor-level teaching, being fluent in German is definitely a plus, although not a must-have. We are located in Mannheim, a very multicultural city in the south-west of Germany. We offer a sustainable life/work balance and non-toxic academic environment. We are strongly committed to diversity and welcome applications from members of underrepresented groups. The position is available immediately and will remain open until filled (applications are considered as soon as they are submitted). The initial contract will be for 3 years with the option of extension. Salary range is according to the German public sector pay scale E13. Applications can be made per e-mail (jobs(a)informatik.uni-mannheim.de) and should include CV and publication record, names of two references and a research statement. All documents should be e-mailed as a single PDF with your last name as filename. Feel free to contact me if you have questions about the position! Best - Simone [1] https://tinyurl.com/r3j377nn [2] https://dblp.uni-trier.de/pid/04/2532.html -- Simone Paolo Ponzetto Data and Web Science Group University of Mannheim, Germany http://dws.informatik.uni-mannheim.de/ponzetto Tel: +49 621 181 2647

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EVALITA 2023: Call for tasks - *** NEW DEADLINES and TIMELINE ***
by Giulia Venturi 26 Sep '22

26 Sep '22

EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE EVALITA 2023 is an initiative of AILC (Associazione Italiana di Linguistica Computazionale, AILC https://www.ai-lc.it/). The final workshop will be held on **September 7th-8th in Parma**. As in the previous editions (https://www.evalita.it/), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of Natural Language Processing and Speech for Italian. The participation is encouraged for teams working both in academic institutions and industrial organizations. TASK PROPOSAL SUBMISSION Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. In submitting your proposal, please bear in mind that we encourage: - challenging tasks involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by different levels of complexity, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - multilingual tasks, i.e. with data both in Italian and in other languages; - industrial tasks, i.e. tasks with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). *** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 17th 2022. *** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. NEW deadlines of the task proposal: - October 4th 2022 October 17th 2022: submission of task proposals - October 18th 2022 October 24th 2022: notification of task proposal acceptance NEW timeline of EVALITA 2023: - 7th February 2023: development data available to participants - 30th April 2023: registration closes - 2nd-19th May 2023: evaluation windows - 30th May 2023: assessment returned to participants - 14th June 2023: final reports (from participants) due to task organizers - 28th June 2023: final reports (from task organizers) due to EVALITA chairs - 10th July 2023: review deadline - 25th July 2023: camera ready version deadline - 7th-8th September 2023: final workshop in Parma EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR)

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Second call for the 2022 ALTA shared task
by Diego Molla-Aliod 26 Sep '22

26 Sep '22

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2022 The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is a re-visit of the 2012 task: PIBOSO Sentence Classification - 10 years later. The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstracts into a set of pre-defined categories, which are used for Evidence-Based Medicine (EBM). EBM practitioners rely on specific criteria when judging whether a scientific article is relevant to a given question. They generally follow the PICO criterion: Population (P) (i.e., participants in a study); Intervention (I); Comparison (C) (if appropriate); and Outcome (O) (of an Intervention). Variations and extensions of this classification have been proposed, and for this task we will extend PICO by adding the classes Background (B) and Study Design (S); and including sentences that have no relevant content: Other (O). Therefore, the goal will be to classify the provided sentences according to the PIBOSO schema. Such information could be leveraged in various ways: e.g., to improve search performance; to enable structured querying with specific categories; and to aid users in more quickly making judgements against specified PICOSO criteria. The tentative key dates are: - Right Now - Registration and release of training and development data - 04 Oct 2022 - Release of test data - 11 Oct 2022 - Deadline of submission of runs - 14 Oct 2022 - Notification of results - 10 Nov 2022 - Deadline of submission of system description - 15-16 Dec 2022 - Presentation of results at ALTA 2022 Details of the task and registration are available at the competition website (http://www.alta.asn.au/events/sharedtask2022). Good luck! Diego Molla-Aliod -- Dr. Diego Mollá-Aliod Senior Lecturer School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.

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