- Corpora - ELRA lists

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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