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Deadline Extended - Propagandistic Techniques Detection / ArAIEval Shared Task at the ArabicNLP 2024 co-located with ACL 2024
by Wajdi Zaghouani 02 May '24

02 May '24

You are invited to participate in the *ArAIEval Shared Task *at the *ArabicNLP 2024*: (i) detection of propagandistic textual spans with persuasion techniques identification (unimodal) on Arabic news articles and tweets. (ii) distinguishing between propagandistic and non-propagandistic memes (multimodal) in Arabic. The shared task will be held alongside the Second Arabic Natural Language Processing Conference (ArabicNLP 2024), co-located with the ACL2024 Conference in Bangkok, Thailand (11-16 Aug, 2024). *Tasks* Task 1: Unimodal (Text) Propagandistic Technique Detection: The task is to detect the propaganda techniques used in a text and identify the exact span(s) in which each propaganda technique appears. You will be given text snippets from news paragraphs or tweets (multigenre). This is a sequence tagging task. Task 2: Multimodal propagandistic memes classification: We offer the three subtasks as defined below: - Subtask 2A: Given a text extracted from a meme, detect whether it is propagandistic or not. - Subtask 2B: Given a meme (text overlayed image), the task is to detect whether the content is propagandistic. - Subtask 2C: Given multimodal content (text extracted from meme and the meme itself) the task is to detect whether the content is propagandistic. Website for detailed information: https://araieval.gitlab.io/ Registration and submission: Task 1: https://codalab.lisn.upsaclay.fr/competitions/18111 Task 2: https://codalab.lisn.upsaclay.fr/competitions/18099 Important Dates - 15 Mar 2024: Registration on CodaLab and the start of the development cycle (release of training and development datasets, along with submission for the development phase on CodaLab) - 27 April 2023 23:59 AOE: Beginning of the evaluation cycle (test sets release) - 4 May 2024 23:59 AOE: End of the evaluation cycle (run submission) - 5 May 2024: Release leaderboard - 15 May 2024: Deadline for the submission of shared task papers - 17 June 2024: Notification of acceptance of shared task papers - 1 July 2024: Deadline for submission of camera-ready papers - 16 August 2023: ArabicNLP Conference (colocated with ACL-2024) Organizers - Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar - Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar - Reem Suwaileh, HBKU, Qatar - Md. Arid Hasan, University of New Brunswick, Canada - Fatema Ahmed, Qatar Computing Research Institute, HBKU, Qatar - Md. Rafiul Biswas, HBKU, Qatar - Wajdi Zaghouani, HBKU, Qatar ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Deadline extension: 1st UniDive Training School 2024
by Atul K. Ojha 02 May '24

02 May '24

======================================== 1st UniDive Training Summer School 2024 ======================================== ===== LATEST NEWS AND CLARIFICATIONS ===== - Due to recently *extended budget*, UniDive can now fund more than 50 trainees. - The *funding* covers travel and stay for 6 nights - The project submission deadline is extended to *Monday 6 May* (or until budget exhaustion) - One does not have to be a UniDive member to apply. - Gradate research master students are eligible - Eligibility for funding depends on the *affiliation* (not the nationality). The eligible countries are: * COST countries <https://www.cost.eu/about/members/> * Near-Neighbor Countries (Algeria, Armenia, Azerbaijan, Belarus, Egypt, Jordan, Kosovo, Lebanon, Libya, Morocco, Palestine, Syria, and Tunisia) - Please, *circulate this call* to all potential candidates to help us enhance the coverage of low-resourced languages ====================================== Dates: *8 — 12 July 2024* Location: *Technical University of Moldova*, Chișinău, Moldova Coordinating Project: UNIDIVE <https://unidive.lisn.upsaclay.fr/doku.php?id=start> (Universality, Diversity and Idiosyncrasy in Language Technology) Website: https://unidive.lisn.upsaclay.fr/doku.php?id=meetings:other-events:1st_unid… Cost: *Participants selected on the basis of their application will be reimbursed, details are below.* *Apply by:* *May 06, 2024* ====================================== CALL FOR APPLICATIONS We are happy to announce the 1st edition of UNIDIVE Summer School on Universality, Diversity and Idiosyncrasy in Language Technology. It is dedicated mainly (but not exclusively) to young researchers and investigators. Researchers working on low-resourced languages, dialects and varieties are particularly welcome SUMMER SCHOOL ACTIVITIES - Annotation of Universal Dependencies treebank for a new language - a course by Sylvain Kahane (Université Paris Nanterre, France) - Annotation of multiword expressions in a new language - course by Verginica Mititelu (Romanian Academy) and Voula Giouli (Aristotle University of Thessaloniki and ILSP, ATHENA RC, Greece) - Corpus annotation infrastructure- a course by Daniel Zeman (Charles University, Czechia), Bruno Guillaume (LORIA, France) and Agata Savary (Université Paris-Saclay, France) - A brainstorming hackathon on topics submitted by the trainees - Poster sessions APPLICATIONS AND SUBMISSION GUIDELINES Each applicant should *submit a project* for a construction of a resource related to the topics of the training school (e.g. a new/enhanced UD treebank, a new PARSEME corpus, a resource adding a new annotation layer on top of a UD/PARSEME corpus, etc.). The length of the application should be 2 pages (excluding references). The application should contain: - The title - Applicant's name and affiliation (including the country) - A list of 3-4 key-words - Description of a resource related to the topics of the training school - Explanation how the participation in the training school will be useful for the project - Open questions related to the project which could be addressed during the brainstorming hackathon - Short statement of the project phase (planning, started, in the process of creation) The projects are to be submitted via the OpenReview <https://openreview.net/group?id=UniDive/2024/Training_School> portal. TRAINEE'S SELECTION CRITERIA We can fund at least 40 trainees, the selection criteria include: - Trainee's country: trainees only from COST countries[1] <https://mail.math.md/?_task=mail&_caps=pdf%3D1%2Cflash%3D0%2Ctiff%3D0%2Cweb…> and Near-Neighbour Countries can be funded. See here <https://www.cost.eu/about/members/> and here <https://www.cost.eu/about/strategy/international-collaboration/>. - Age: Young Researchers and Investigators, i.e. under the age of 40, are promoted - Gender and geographical balance (notably between Inclusiveness Target Countries and others COST countries) - Relevance and quality of the project submitted by the trainee - Status of the language on which the trainee intends to work (low-resourced languages, dialects or varieties are promoted) *If you are not selected on the basis of these criteria and you can find other financial sources to cover your travel, accommodation and meals, you are also welcome to participate. * *The authors of the selected projects may optionally present them in a poster session during the Training School. * IMPORTANT DATES Deadline for project submission: May 6, 2024 Notification of acceptance: May 23, 2024 Summer school: July 8-12, 2024 For any inquiry, please contact the organisers at: victoria.bobicev(a)ia.utm.md Looking forward to seeing you in Moldova, Organizing Committee

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[CFP] Sci-K @ISWC 2024 – 4th Int. Workshop on Scientific Knowledge Representation, Discovery, and Assessment
by Georg Rehm 02 May '24

02 May '24

CALL FOR PAPERS *Sci-K – 4th International Workshop on Scientific Knowledge Representation, Discovery, and Assessment in conjunction with the International Semantic Web Conference (ISWC) 2024* November 11/12 2024, Baltimore, MD, USA Web: https://sci-k.github.io, X: @scik_workshop <https://twitter.com/scik_workshop> Submission deadline: July 11th, 2024 *Aim and Scope* In the last decades, we have experienced a substantial increase in the volume of published scientific articles and research artefacts (e.g., data sets, software packages); this trend is expected to continue and opens up challenges including the development of large-scale machine-readable representations of scientific knowledge, making scholarly data discoverable and accessible, and designing reliable and comprehensive metrics to assess scientific impact. The main objective of Sci-K is to provide a forum for researchers and practitioners from different disciplines to present, educate, and guide research related to scientific knowledge. We foresee three themes that cover the most important challenges in this field: representation, discoverability, and assessment. Representation. There is a need for flexible, context-sensitive, fine-grained, and machine-actionable representations of scholarly knowledge that are, at the same time, structured, interlinked, and semantically rich: Scientific Knowledge Graphs (SKGs). SKGs can power data-driven services for navigating, analysing, and making sense of research dynamics. Current challenges are related to the design of ontologies able to conceptualise scholarly knowledge, model its representation, and enable its exchange across different SKGs. Discoverability. Scholarly information should be easily findable, discoverable, and visible so that it can be mined and organised within SKGs. Discovery tools should be able to crawl the Web and identify scholarly data, whether on a publisher’s website or elsewhere – institutional repositories, preprint servers, open-access repositories, and others. This is a particularly challenging endeavour as it requires deep understanding of both the scholarly communication landscape and the needs of a variety of stakeholders: researchers (of different fields and sub-fields), publishers, funders, and the general public. Other challenges are related to the discovery and extraction of entities and concepts, integration of information from heterogeneous sources, identification of duplicates, finding connections between entities, and identifying conceptual inconsistencies. Assessment. Due to the continuous growth in volume of research output and limited amounts of funding, rigorous approaches for the evaluation and assessment of research impact are now more relevant than ever. There is a need for reliable, comprehensive, and equitable metrics and indicators of the scientific impact and merit of publications, datasets, research institutions, individual researchers, and other relevant entities. *Topics of Interest* - Representation - Data models for the description of scholarly data and their relationships. - Description and use of provenance information of scientific data. - Integration and interoperability models of different data sources. - NLP and AI approaches that demonstrate related methods and technologies. - Discoverability - Methods for extracting metadata, entities and relationships from scientific data. - Methods for the (semi-)automatic annotation and enhancement of scientific data. - Methods and interfaces for the exploration, retrieval, and visualisation of scholarly data. - NLP and AI approaches that demonstrate related methods and technologies. - Assessment - Novel methods, indicators, and metrics for quality and impact assessment of scientific publications, datasets, software, and other relevant entities based on scholarly data. - Uses of scientific knowledge graphs and citation networks for the facilitation of research assessment. - Studies regarding the characteristics or the evolution of scientific impact or merit. - NLP and AI approaches that demonstrate related methods and technologies. *Submission Guidelines* - Full research papers (up to 8 pages for main content) - Short research papers (up to 4 pages for main content) - Vision/Position papers (up to 4 pages for main content) The workshop calls for full research papers (up to 8 pages + 2 pages of appendices + 2 pages of references), describing original work on the listed topics, and short papers (up to 4 pages + 2 pages of appendices + 2 pages of references), on early research results, new results on previously published works, demos, and projects. In accordance with Open Science principles, research papers may also be in the form of data or software papers (short or long papers). Data papers present the motivation and methodology behind the creation of data sets that are of value to the community, e.g., annotated corpora, benchmark collections, and training sets. Software papers present software functionality, its value for the community, and its application. To enable reproducibility and peer-review, authors are requested to share the DOIs of datasets and software products described in the articles. The workshop also calls for vision/position papers (up to 4 pages + 2 pages of appendices + 2 pages of references) providing insights towards new or emerging areas, innovative or risky approaches, or emerging applications that will require extensions to the state of the art. Vision papers do not necessarily have to present results but should carefully elaborate on the motivation and ongoing challenges of the described area. Sci-K will adopt a single-blind review process, and each paper will be reviewed by at least three Program Committee members. Submissions must be in PDF format and must adhere to the CEURART single-column template. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review. The proceedings of the workshops will be published on CEUR (indexed in Scopus, DBLP and so on.) Submit your contributions following the link: https://sci-k.github.io/2024/#submission *Important Dates* - Paper submission: July 11th, 2024 (23:59, AoE timezone) - Notification of acceptance: August 8th, 2024 - Camera-ready due: August 25th, 2024 (23:59, AoE timezone) - Workshop day: November 11/12, 2024 (TBA) *Organizing Committee (alphabetical order)* Andrea Mannocci, CNR-ISTI, Italy Francesco Osborne, The Open University, UK Georg Rehm, DFKI, Germany Angelo Salatino, The Open University, UK Sonja Schimmler, TU Berlin, Fraunhofer FOKUS, Germany -- [image: DFKI] <https://www.dfki.de/> *Prof. Dr. Georg Rehm <http://georg-re.hm/>* Principal Researcher and Research Fellow, DFKI Adjunct Professor, Humboldt-Universität zu Berlin DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313

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2nd CfP: FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024, Islamabad
by Steven Krauwer 02 May '24

02 May '24

2nd CALL FOR PAPERS =============== The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 15 May 2024 at 23:59 GMT Important Dates ▪ 15 May 2024: Deadline for submission of abstract ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _________________________________________________________________________ Steven Krauwer, CLARIN / FEL / ELSNET / ILS, Utrecht, NL, s.krauwer(a)uu.nl

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PhD position on Machine Learning, Data Science, and Algorithmic Accountability
by Spanakis, Jerry (DACS) 02 May '24

02 May '24

At Law and Tech Lab (Maastricht University) we look for a PhD candidate to work on the RegTech4AI project<https://regtech4ai.maastrichtlawtech.eu/> led by Konrad Kollnig (funded by the AiNed fellowship program for AI talent). The project combines expertise in law and technology to develop regulatory technologies for citizens, enforcement agencies, and businesses in the domain of artificial intelligence (AI). Deadline is May 30th (interviews to be held in June) Website to read more and apply here<https://vacancies.maastrichtuniversity.nl/job/Maastricht-PhD-position-on-Ma…> and below —— Maastricht University invites applications for a fully-funded PhD position focused on using technical methods to make digital technologies safer and follow relevant laws. Job Description Law affects us all, but it still struggles to address widespread harms in digital technologies. The massive adoption of (often) annoying – and usually illegal – “cookie banners” on websites is just one symptom of this. In your PhD project, you will seek to contribute to a better understanding of how technical methods can help study how cutting-edge digital technologies affect society – and what can be done in response. Your work will aim to better protect the digital lives of ordinary citizens, who are commonly exposed to deceptive software designs, abuse of their data and privacy, and the will of large tech companies in determining how foundational digital infrastructure – that we use daily – is built. To this end, you will work closely with relevant industry partners and public authorities. Ultimately, the ability to find innovative technical solutions to legal challenges – the foundation of this PhD position – could become a key skill of your future career, whether as a researcher, entrepreneur, or engineer. The PhD position will be carried out as part of the RegTech4AI project, which brings together six full-time researchers to work on a shared vision. Your primary task is conducting the research for your PhD project under the supervision of professors of the Maastricht Law & Tech Lab. Your exact project will be determined in consultation with you and according to your interests and skills. As such, you will be expected to develop your own independent research agenda with the support of our experienced researchers in the Law & Tech Lab. A small proportion of the appointment may be devoted to teaching activities, which commonly amount to teaching activities in eight weeks per year. You will be allowed to collaborate with researchers from different disciplines, including machine learning, data science, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences, and workshops that will add social and legal knowledge to your skill set. PhD researchers participate in the Maastricht University Graduate School of Law. Requirements * MSc degree in Computer Science, AI, Machine Learning, or Data Science (or equivalent). * Fluency with Python programming for data analysis or machine learning. * Interest in learning about other disciplines, law in particular. * Community-friendly team player. * Excellent oral and written English communication. What we offer As PhD at Faculty of Law, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you: * Good employment conditions. The position is graded in scale Promovendus/PhD, according to UFO profile PhD, with corresponding salary from €2770,00 in the first year and increaseing to €3539,00 gross per month in the fourth year (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply. * An employment contract for a period of 12 months with a scope of 1.0 FTE. Upon a positive evaluation, an extension of 3 years will follow. * At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. * As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. * Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here<https://www.maastrichtuniversity.nl/working-um>. Maastricht University Why work at Maastricht University? At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers. With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community. Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together. Click here<http://www.maastrichtuniversity.nl/> for more information about UM. Faculty of Law The Faculty of Law at Maastricht University is a top-quality provider of challenging and rewarding Dutch and European legal education at bachelor’s, masters and PhD-level. A true pioneer in small-scale education and the teaching of legal skills for a broad range of future legal professionals.  The clear research focus on European and international aspects of law and technology. On the empirical dimension of law provides both students and staff with a stimulating work environment. The faculty values its open and inclusive community, which contributes to creating a productive and pleasant place for work and study.   The Faculty of Law offers a wide range of bachelor and master's programs. Would you like to learn more about our programs? Visit our website for more information on the courses, career perspectives, and admission requirements of our programs.  Curious? Are you interested in this exciting position but still have questions? Feel free to contact Dr. Konrad Kollnig via konrad.kollnig(a)maastrichtuniversity.nl<mailto:konrad.kollnig@maastrichtuniversity.nl> or via +31 43 388 1835 for more information. Do you have any questions regarding the procedure, please contact Lisa Turcotte (Recruiter) at lisa.turcotte(a)maastrichtuniversity.nl<mailto:lisa.turcotte@maastrichtuniversity.nl>. Applying? Or are you already convinced and ready to become our new PhD? Apply now, no later than May 30, 2024, for this position. The interviews will be held in June 2024. Applications should include: * a letter of motivation * a curriculum vitae * representative work (e.g. a master thesis). The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized. Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

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PhD position in Language Technology (3 years)
by Samia Touileb 02 May '24

02 May '24

We are seeking a motivated candidate to join our research team in MediaFutures, at the University of Bergen, Norway. The primary task of this position will be to develop novel techniques for generating news articles. This involves creating resources that adapt lexical, grammatical, and stylistic choices based on various parameters, including user profiles, cognitive accessibility, and journalistic formats. We are also interested in exploring how news content can be versioned and adapted dynamically. This includes tailoring news articles to different user preferences and user segments, ensuring readability, and optimizing content delivery across various platforms. We expect that the candidate will explore how large language models can be used for news generation while maintaining ethical and responsible practices. The position also offers the opportunity to collaborate with industry partners and gather domain-specific datasets from leading Norwegian media houses. This real-world collaboration will enhance the relevance and impact of the produced research. The PhD candidate will work at MediaFutures in Work Package 5 and will cooperate with researchers and partners in the work package, including the Language Technology Group at the University of Oslo, the National Library of Norway, Schibsted, Amedia, and TV 2. In addition to relevant researchers and partners in other work packages. - As an applicant you should have an excellent written and spoken command of English. Proficiency in Norwegian is an important advantage, but *not* a requirement. The deadline is 25th May 2024. For more details about the position and how to apply see: https://www.jobbnorge.no/en/available-jobs/job/262259/phd-position-in-langu… If you have any questions, do not hesitate to contact me. Best, Samia *---* *Samia Touileb* *Associate Professor in Natural Language Processing* *Department of Information Science and Media Studies,* *University of Bergen* *MediaFutures: Research Center for Responsible Media Technology & Innovation*

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2nd CfP: Sixth Workshop on Teaching NLP
by Biester, Laura 02 May '24

02 May '24

Second Call For Papers: Sixth Workshop on Teaching NLP at ACL 2024 The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available). The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources. Call for Papers The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to): * How can we facilitate meaningful conversations about language among Computer Science students? * How do we include user-centered design in core NLP curricula? * How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP? * How can we design assignments that require GPU access or the use of paid APIs? * What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education? This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material. Submission Information We welcome two submission types: teaching materials and papers: Teaching Materials (short papers) We invite short paper submissions of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers do not need to be anonymised, but will be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop. Papers We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics: * Tools and methodologies (e.g., active learning, flipped classroom) * Scaling curricula to fit large class sizes * Adapting existing curricula to incorporate new NLP advancements * Teaching online NLP courses or adjusting courses to become remote * Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform * Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics) * Teaching underrepresented students * Bridging the gap between academic training and industry needs * Incorporating ethics, reproducibility, and responsible practices in NLP courses * Teaching multilingual NLP All submissions will be processed through OpenReview<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TeachNLP>. Important Dates * Paper Submission: May 17, 2024 * Notification of Acceptance: June 17, 2024 * Camera-Ready Deadline: July 1, 2024 * Teaching NLP Workshop: August 15, 2024 Website: https://sites.google.com/view/teachingnlpacl2024/ Contact: teachingnlp.yt(a)gmail.com<mailto:teachingnlp.yt@gmail.com> Best, TeachingNLP 2024 Organizers (Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler)

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ESSLLI 2024 - Call for Participation
by Tim Van de Cruys 02 May '24

02 May '24

We invite you to participate in the 35th European Summer School in Logic, Language and Information (ESSLLI), taking place from 29 July - 9 August, 2024 at the University of Leuven, Belgium. https://2024.esslli.eu/ * Overview The European Summer School in Logic, Language and Information (ESSLLI) is a yearly recurring event, organized under the auspices of the Association for Logic, Language and Information (FoLLI), and has been running since 1989. The ESSLLI Summer School provides an interdisciplinary setting in which courses and workshops are offered in logic, linguistics and computer science, also from wider scientific, historical, and philosophical perspectives. ESSLLI attracts around 400 participants from Europe, the Middle East, Asia and Africa, as well as from North America and Latin America. ESSLLI has become the main meeting place for young researchers and students in logic, linguistics and computer science to discuss current research and to share knowledge. The event is unique in its interdisciplinary set-up, with no equivalents in Europe. * Programme The ESSLLI Summer School offers an exciting two-week programme, consisting of the following: - Foundational, introductory and advanced courses in three areas: Language and Computation, Logic and Computation, and Logic and Language - Workshops in logic, linguistics and computer science - Student session - Evening lectures - Social activities The full program can be found on the website. * Registration: Registration for attendees, course lecturers, student session and workshop organizers and speakers is now open. The early-registration deadline is Friday, 31st May. https://2024.esslli.eu/registration/registration.html * Accommodation ESSLLI is offering affordable accommodation to all participants who book before 31st May. We cannot guarantee accommodation for registrations received after this date.

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CLEF-2024 CheckThat! Lab -- Start of the Evaluation Cycle
by Firoj Alam 01 May '24

01 May '24

(apologies for cross-posting) Dear colleague, We have launched the test stage of the CheckThat! 2024 lab at CLEF. The test datasets and the submission websites are ready. Please, visit the CheckThat! website to download the data/notebooks and read the instructions to submit your runs: http://checkthat.gitlab.io/clef2024/ Do notice that each of the 6 tasks runs independently and that you can participate in one or more of them. Do not hesitate to get in touch, would you face any issue. The deadline to submit your runs is on 6 May 2024 (23:59 AOE). Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2024-checkthat-lab <https://gitlab.com/checkthat_lab/clef2023-checkthat-lab> Best regards, The CheckThat! organisers

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WASSA 2024 Shared Task on Empathy Emotion and Personality Detection in Interactions within ACL 2024
by Val Barriere 30 Apr '24

30 Apr '24

[Apologies for cross-posting] We invite you to participate in the shared task on Empathy and Personality Detection in interactions, organized as part of WASSA 2024 <https://workshop-wassa.github.io/>at ACL 2024 <https://2024.aclweb.org/>. This task aims to develop models that can predict Empathy, Emotion, and Personality recognition in short text and at the speech-turn in a conversation. Task Description You can participate in five different tracks: - Track 1: Empathy Prediction in Conversations (CONV-dialog), which consists in predicting the perceived empathy at the dialog-level - Track 2: Empathy and Emotion Prediction in Conversations Turns (CONV-turn), which consists in predicting the perceived empathy, emotion polarity, and emotion intensity at the speech-turn-level in a conversation - Track 3: Empathy Prediction (EMP), which consists in predicting both the empathy concern and the personal distress at the essay-level - Track 4: Personality Prediction (PER), which consists in predicting the personality (openness, conscientiousness, extraversion, agreeableness, and emotional stability; OCEAN) of the essay writer, knowing all of their essays, dialogs, and the news article from which they reacted Note: You are free to participate in any or both tracks. For participation, please check: https://codalab.lisn.upsaclay.fr/competitions/18810 Important Dates - April 24, 2024: Codalab competition website goes online, and training/development data released - May 29, 2024: Evaluation phase begins: test data released - June 1, 2024: Evaluation phase ends: Deadline for final submission on Codalab - June 12, 2024: Deadline system description paper (max. 4p) - June 22, 2024: Notification of acceptance - July 1, 2024: Camera-ready papers due Task Organizers - Salvatore Giorgi - National Institute on Drug Abuse [C], USA - Valentin Barriere - Universidad de Chile , Chile - Joao Sedoc - New York University, USA - Shabnam Tafreshi - Evernorth Healthcare, USA Contact wassa24empathy [at] gmail [dot] com Join Google Group wassa24empathy(a)googlegroups.com

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