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WASSA@ACL 2024 Shared Task on Empathy, Emotion and Personality Detection in Interactions
by valbarrierepro＠gmail.com 17 May '24

17 May '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 at ACL 2024. 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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2nd CfP: The 4th Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2024)
by Ines 17 May '24

17 May '24

2nd Call for Papers: 4th Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2024) [With apologies for cross-posting] We welcome submissions for the **4th edition of the CPSS workshop,**co-located with KONVENS'24, in Vienna, Austria on 13th September 2024*.* Keeping with the theme of text-as-data and NLP techniques for studying political and social phenomena, you can submit both archival papers (short or long) or non-archival abstracts. Closely related themes include (but are not limited to): * Modelling political communication with NLP (e.g. topic classification, position measurement) * Mining policy debates from heterogeneous textual sources * Modelling complex social constructs (e.g. populism, polarisation,identity) with NLP methods * Political and social bias in language models * Methodological insights in interdisciplinary collaboration: workflows, challenges, best practices * NLP support to understand and support democratic decision making * Resources and tools for political/social science research * ... and more! Important Dates Workshop papers due 14.06.2024 Notification of acceptance 02.08.2024 Camera-ready papers due 12.08.2024 Workshop date 13.09.2024 Papers can be submitted through Easychair via https://easychair.org/conferences/?conf=cpss2024 More details: https://sites.google.com/view/cpss2024konvens/home-page Best, CPSS'24 organizers (Christopher Klamm, Gabriella Lapesa, Simone Paolo Ponzetto, Ines Rehbein, Indira Sen)

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[CFP] EvalLAC 2024 Final Call For Papers – AIED 24 workshop
by Shiva Taslimipoor 17 May '24

17 May '24

[Apologies for cross-posting] *1st Workshop on Automated Evaluation of Learning and Assessment Content* AIED 2024 workshop | Recife (Brazil) & Hybrid | 8 July 2024 https://sites.google.com/view/eval-lac-2024/ The submission deadline for the Workshop on Automated Evaluation of Learning and Assessment Content, which will be held in Recife (Brazil) & online during the AIED 2024 conference, is fast approaching! About the workshop The evaluation of learning and assessment content has always been a crucial task in the educational domain, but traditional approaches based on human feedback are not always usable in modern educational settings. Indeed, the advent of machine learning models, in particular Large Language Models (LLMs), enabled to quickly and automatically generate large quantities of texts, making human evaluation unfeasible. Still, these texts are used in the educational domain -- e.g., as questions, hints, or even to score and assess students -- and thus the need for accurate and automated techniques for evaluation becomes pressing. This hybrid workshop aims to attract professionals from both academia and the industry, and to to offer an opportunity to discuss which are the common challenges in evaluating learning and assessment content in education. Topics of interest include but are not limited to: - Question evaluation (e.g., in terms of alignment to learning objectives, factual accuracy, language level, cognitive validity, etc.). - Estimation of question statistics (e.g., difficulty, discrimination, response time, etc.). - Evaluation of distractors in Multiple Choice Questions. - Evaluation of reading passages in reading comprehension questions. - Evaluation of lectures and course material. - Evaluation of learning paths (e.g., in terms of prerequisites and topics taught before a specific exam). - Evaluation of educational recommendation systems (e.g., personalised curricula). - Evaluation of hints and scaffolding questions, as well as their adaptation to different students. - Evaluation of automatically generated feedback provided to students. - Evaluation of techniques for automated scoring. - Evaluation of bias in educational content and LLM outputs. Human-in-the-loop approaches are welcome, provided that there is also an automated component in the evaluation and there is a focus on the scalability of the proposed approach. Papers on generation are also very welcome, as long as there is an extensive focus on the evaluation step. The workshop will feature two keynote speakers: - Zachary A. Pardos, Associate Professor of Education at UC Berkeley - Victoria Yaneva, Manager of NLP research at NBME. Important dates Submission deadline: May 17, 2024 Notification of acceptance: June 4, 2024 Camera ready: June 11, 2024 Workshop: 8 July 2024 Submission guidelines Submission URL: https://easychair.org/conferences/?conf=evallac2024 Authors are invited to submit short papers (5 pages, excluding references) and long papers (10 pages, excluding references), formatted according to the workshop style available on the website. Submissions should contain mostly novel work, but there can be some overlap between the submission and work submitted elsewhere (e.g., summaries, focus on the evaluation phase of a broader work). Each of the submissions will be reviewed by the members of the Program Committee, and the proceedings volume will be submitted for publication to CEUR Workshop Proceedings. Organisers Luca Benedetto (1), Andrew Caines (1), George Dueñas (2), Diana Galvan-Sosa (1), Anastassia Loukina (3), Shiva Taslimipoor (1), Torsten Zesch (4) (1) ALTA Institute, Dept. of Computer Science and Technology, University of Cambridge (2) National Pedagogical University, Colombia (3) Grammarly, Inc. (4) FernUniversität in Hagen

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ACM GoodIT'24: Special Track on Educating for a Sustainable Digital Future -- Last Mile for Paper Submission
by Announce 17 May '24

17 May '24

*** Last Mile for Paper Submission *** ACM 4th International Conference on Information Technology for Social Good (GoodIT''24) Special Track on Educating for a Sustainable Digital Future https://blogs.uni-bremen.de/goodit2024/ ( *** Submission Deadline: 31 May 2024 (extended) ***) SCOPE Exploring the development of our digital future requires a comprehensive examination of both individual and societal consequences. Placing excessive emphasis on individual gains, a common practice in individualistic societies for many years, has hindered the ability to grasp the complex dynamics and forward-thinking mindset essential for the sustainability of a contemporary society. The evolving landscape of technology and the ongoing digital advancements have paved the way for creative applications in the field of education, allowing us to adapt to the ever-changing circumstances. When shaping a new approach for Information Systems and Information Technology education, it is crucial to emphasize the significance of individuals as key stakeholders and integral members of the wider community, while also recognizing the pivotal role of collaboration. In this track, we are searching for papers employing innovative technology and approaches to educate the future generation towards world equality, collegiality, inclusion and a more cooperative learning for a sustainable digital future. Values which are emphasized in the Sustainable Development Goals (SDGs) which overall aim towards creating a more equitable, sustainable, and peaceful world. This track is particularly relevant to IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. TOPICS Potential topics for papers include (but are not limited to): • Sustainable and innovative education technologies and practices • Universal access to quality education • The new role for IS/IT in society and education and the value of information and knowledge • The role of cooperative learning for life-long learning and societal developments • Digital transformation: opportunities and challenges for education, work, and society • Digital learning environments: Innovations and trends • Equality, diversity, and inclusion in education, work, and society • The use of large language models and generative AI in education • New topics and domains in IT-enhanced education We hope to attract the interest of IS/IT educators and those creative IT practitioners who care about developing a sustainable digital future. SUBMISSION GUIDELINES Please refer to the instructions on the conference web site: https://blogs.uni-bremen.de/goodit2024/submission-of-papers/ . All accepted papers will be included in the ACM Digital Library . IMPORTANT DATES • Submission deadline: 31 May 2024 (AoE) (***extended***) • Notification of acceptance: 8 July 2024 • Camera ready: 19 July 2024 TRACK CHAIRS • George A. Papadopoulos, University of Cyprus, Cyprus • Vasso Stylianou, University of Nicosia, Cyprus CONTACT DETAILS Vasso Stylianou, stylianou.v(a)unic.ac.cy

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*Call for Participation WMT2024: English-to-Lowres Multi-Modal Translation Task*
by Shantipriya Parida 17 May '24

17 May '24

Dear All, We invite you to participate in the "*English-to-Lowres Multi-Modal Translation Task" *at the Ninth Conference on Machine Translation (WMT2024). The task relies on our “{Hindi, Bengali, Malayalam, Hausa} Visual Genome” datasets, all of which provide text and images suitable for English-{Hindi, Bengali, Malayalam, Hausa} machine translation tasks and multimodal research. Timeline: Please refer to the task website. Websites: https://www2.statmt.org/wmt24/multimodallowresmt-task.html Contact: email: wat-multimodal-task(a)ufal.mff.cuni.cz Organizers: - Shantipriya Parida (Silo AI, Finland) - Ondřej Bojar (Charles University, Czech Republic) - Idris Abdulmumin (University of Pretoria, South Africa) - Shamsuddeen Hassan Muhammad (Imperial College London, UK) - Ibrahim Said Ahmad (Institute for Experimental AI, Northeastern University, USA) Request to share among the interested participants. Regards, Shantipriya -- Shantipriya Parida Senior AI Scientist @ Silo AI <http://www.silo.ai/> Mobile:# +358 (0465454193) LinkedIn <http://linkedin.com/>*Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>* *http://www.shantipriya.me/ <http://www.shantipriya.me/>*

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Work of literature without copyright issues
by Surangika Ranathunga 16 May '24

16 May '24

Dear Colleagues We are currently working on manually translating domain-specific English data to multiple low-resource languages. Literature is one such selected domain. We started with novels in project Gutenberg. However, most of those books are from the 1800's and our translators struggle to comprehend the language used in those books. I would like to know whether there are story books written in modern simple English that are free of copyrights to be used for this task. Regards Surangika

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Deadline Extension: Field Matters 2024 - The Third Workshop on NLP Applications to Field Linguistics
by fieldmattersworkshop＠gmail.com 16 May '24

16 May '24

Dear colleagues, We are extending the submission deadline for Field Matters workshop. The new deadline is May 22. The Third Workshop on NLP Applications to Field Linguistics (Field Matters 2024) will take place at ACL 2024 [https://2024.aclweb.org/] in Bangkok, Thailand on August 16. Please find call for papers bellow: === The Third Workshop on NLP Applications to Field Linguistics === Field linguistics plays a crucial role in the development of linguistic theory and universal language modeling, as it provides uncontested, the only way to obtain structural data about the rapidly diminishing diversity of natural languages. The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation. This year we are adding a special track dedicated to the indigenous languages of Thailand and South-East Asia. We encourage you to submit theses on this topic, although general submissions are also welcomed. We are particularly interested in the following topics: - Application of NLP to field linguistics workflow; - The impact, benefits and harms of NLP-assisted fieldwork; - Transfer learning for under-resourced language processing; - The use of fieldwork data to build NLP systems; - Modeling morphology and syntax of typologically diverse languages in the low-resource setting; - Speech processing for under-resourced languages; - Machine-readable field linguistic datasets and computational analysis of field linguistics datasets; - Using technology to preserve culture via language; - Improving ways of interaction with Indigenous communities; - Special track: Indigenous languages of Thailand and South-East Asia. We accept three types of papers: - non-archival submissions: abstracts (2-page) or papers (up to 8-page) that can present already published work or work in progress (note that we accept non-archival submissions even after the main deadline); - short archival submissions: 4-page papers that present new work; - long archival submissions: 8-page papers that present new work. The special track submissions can be either long or short and either archival or non-archival. We offer the following ways of presenting the papers: - the main section; - poster sections. The way a paper will be presented will be determined during the review process. All submissions should be anonymized. We are subjected to the ACL Anonymity Policy. ACL changed its policy for review and citation, and no anonymity period will be required. Dual submissions with the main conference are allowed, but authors must declare dual submission by entering the paper’s main conference submission id. The reviews for the submission for the main conference will be automatically forwarded to the workshop and taken into consideration when your paper is evaluated. Authors of dual-submission papers accepted to the main conference should retract them from the workshop by. Papers posted to preprint servers such as arxiv can be submitted without any restrictions on when they were posted. The workshop will run its own review process, and papers can be submitted directly to the workshop via OpenReview (https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/Field_Matters). The workshop will take place at ACL 2024 (https://2024.aclweb.org/). Both papers and abstracts must follow the ACL 2024 format (https://github.com/acl-org/acl-style-files). Please do not modify these style files. Workshop webpage: https://field-matters.github.io/2024 Contact email: [fieldmattersworkshop@gmail.com](mailto:fieldmattersworkshop@gmail.com) Important dates: - Paper submission deadline: May 22 (Wednesday), 2024 - Notification of acceptance: June 17 (Monday), 2024 - Camera-ready paper due: July 1 (Monday), 2024 - Workshop dates: August 15–16, 2024 Organizers - Oleg Serikov (KAUST, HSE University) - Elena Klyachko (HSE University) - Francis Tyers (Indiana University) - Ekaterina Vylomova (University of Melbourne) - Éric Le Ferrand (Boston College) - Saliha Muradoğlu (The Australian National University (ANU)) - Ekaterina Voloshina (Independent Researcher) - Anna Postnikova (Independent Researcher) --- Best regards, Anna Postnikova Field Matters organizing committee

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Postdoc in NLP/ML at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: Postdoctoral Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 (possible option: E-14) Contract: 100%, two years, renewal is possible Start Date: September 1st, 2024 Responsibilities: Conduct independent research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise PhD students Teach Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: PhD in NLP or a related field Strong publication record in top-tier NLP conferences and journals Expertise in one or more NLP techniques, such as machine translation, natural language understanding, or natural language generation Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Not required, but a big plus: teaching experience, supervising experience Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences Opportunity to teach and mentor students About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented postdoctoral researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. The postdoc position will involve work on low-resource languages in both machine translation and multilingual language models. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named postdoc_lastname_firstname.pdf (e.g., postdoc_fraser_alexander.pdf). Please send the PDF (or any questions) to Dr. Lukas Edman at: lukas(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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PhD Student Researcher in NLP at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: PhD Student Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 Contract: 100%, three years Start Date: September 1st, 2024 Responsibilities: Conduct research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise Bachelors and Masters students Assist teaching Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: Masters in NLP, Computer Science or a related field Projects in NLP or machine learning Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented phd student / researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. For the PhD student position, two possible research foci are: machine translation of metaphors and machine translation of low-resource languages. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named phd_lastname_firstname.pdf (e.g., phd_fraser_alexander.pdf). Please send the PDF (or any questions) to Wen Lai at: lavine(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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May 2024 Newsletter - LDC
by Penn LDC 15 May '24

15 May '24

In this newsletter: LDC at LREC-COLING 2024 New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> ________________________________ LDC at LREC-COLING 2024 LDC will be exhibiting at LREC-COLING 2024<https://lrec-coling-2024.org/> hosted by the European Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL) May 20-25 in Turin, Italy. Stop by our table to learn more about recent developments at the Consortium and the latest publications. LDC staff members will also be presenting current work on topics including Spanless Event Annotation for Corpus-Wide Complex Event Understanding; Schema Learning Corpus: Data and Annotation Focused on Complex Events; and KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora. LDC will post conference updates via social media. We look forward to seeing you in Italy! ________________________________ New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> was developed by LDC and contains 364 hours of conversational telephone speech in four languages (Tagalog, Cebuano, Cantonese, and Mandarin) collected in 2015 from 221 native speakers located in the Philippines and China along with metadata and speaker demographic information. Recordings and data from this collection were used to support the NIST 2016 Speaker Recognition Evaluation<https://www.nist.gov/itl/iad/mig/speaker-recognition-evaluation-2016>. Speakers made 10 telephone calls each to people within their existing social networks, using different handsets and under a variety of noise conditions. Speakers were connected through a robot operator to carry on casual conversations on topics of their choice. All recordings were manually audited to confirm language and speaker requirements. The documentation for this release includes metadata about phone type, noise conditions, and call quality. Speaker demographic information on year of birth, sex, and native language is also included. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> was developed at INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência<https://www.inesctec.pt/en> and consists of automatic Brazilian Portuguese and European Portuguese translations of the English text and annotations in ACE 2005 Multilingual Training Corpus (LDC2006T06)<https://catalog.ldc.upenn.edu/LDC2006T06>. ACE 2005 Multilingual Training Corpus was developed by LDC to support the Automatic Contract Extraction (ACE)<https://www.ldc.upenn.edu/collaborations/past-projects/ace> program, specifically, by providing training data for the 2005 technology evaluation. It contains 1,800 files of mixed genre text in Arabic, English, and Chinese annotated for entities, relations, and events. The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form. Text genres included newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. For this translation, the English data was partitioned into training, development, and test sets. The documents were split into sentences and each event mention was assigned to its sentence. Source sentences and their annotations were translated into Brazilian Portuguese using Google Translate<https://translate.google.com/> and into European Portuguese using DeepL Translate<https://www.deepl.com/en/translator>. An alignment algorithm and a parallel corpus word aligner were used to handle mismatches between translated annotations and their translated sentences. 2024 members can access this corpus through their LDC account. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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