- Corpora - ELRA lists

Extended Deadline- ACM SAC 2025 - Knowledge and Natural Language Processing Track
by Patrizio Bellan 18 Sep '24

18 Sep '24

The 40th ACM/SIGAPP Symposium on Applied Computing ACM SAC 2025 March 31 - April 4, 2025 - Catania, Italy Knowledge and Natural Language Processing Track ***************************************** Important Dates Author deadline for submissions: September 20, 2024 October 4, 2024: Author notification of acceptance: October 30, 2024 Author camera ready and registration due: November 29, 2024 ***************************************** Aim Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, two extremely interdisciplinary and lively research areas at the core of Artificial Intelligence. In particular, the track welcomes contributions combining and complementing methods and approaches from both areas. Topics of interest include, but are not limited to: - Natural Language Processing NLP tasks for Knowledge Extraction NLP for Ontology Population and Learning Sentiment Analysis and Opinion Mining for Knowledge Applications Interplay between Language and Ontologies NLP for Explainable Knowledge Machine Translation techniques for Multi-lingual Knowledge NLP for the Web (Large) Language Models and Knowledge - Knowledge Knowledge to improve NLP tasks Knowledge for Information Retrieval Knowledge-based Sentiment Analysis and Opinion Mining Combining Knowledge and Deep Learning for NLP Knowledge for Text Summarization and Generation Knowledge for Persuasion Knowledge-based Machine Translation Knowledge for the Web Linked Data for NLP Knowledge-based NL Explainability RAG and Knowledge injection for Language Models - Applications Real-world applications that exploit Knowledge and NLP Knowledge and NLP Systems for Big Data scenarios Knowledge and NLP technology for diverse, equitable, and inclusive society Deployment of Knowledge and NLP Systems in specific domains, such as: Digital Humanities and Social Sciences eGovernment and public administration Life sciences, health and medicine News and Data Streaming ***************************************** Paper Submission Research papers and experience reports related to the above topics are solicited. Submissions must not have been published or be concurrently considered for publication elsewhere. Papers should be submitted in PDF using the ACM-SAC proceedings format using the submission link on the SAC 2025 website (https://www.sigapp.org/sac/sac2025/). Authors' names and affiliations should be entered separately at the submission site and not appear in the submitted papers. Each submission will be reviewed in a DOUBLE-BLIND process according to the ACM-SAC Regulations. Student Research Competition (SRC) submissions are welcome (see SAC 2025 website for details). Full papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages (paying an extra charge). Posters are limited to 2 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page (paying an extra charge). SRC Abstracts are limited to 3 pages, in camera-ready format, included in the registration fee. No extra pages are allowed. Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. Some papers may be accepted as posters. Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. ***************************************** Track Co-Chairs Patrizio Bellan, Fondazione Bruno Kessler (FBK) Marco Bombieri, Università degli Studi di Verona Mauro Dragoni, Fondazione Bruno Kessler (FBK) Marco Rospocher, Università degli Studi di Verona ***************************************** Programme Committee TBA ***************************************** General Inquiries For further information, please visit SAC Knowledge and Natural Language Processing Track (https://knlp-sac.github.io/2025/) and SAC 2024 conference websites (https://www.sigapp.org/sac/sac2025/) or feel free to contact the Track Co-Chairs at knlp(a)fbk.eu<mailto:knlp@fbk.eu> . -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all'indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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[CFP]: FIRE 2024, The 16th Annual meeting of Forum for Information Retrieval Evaluation
by Bhargav Dave 17 Sep '24

17 Sep '24

*Call for Papers* *FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation* 12th - 15th December 2024 DA-IICT, Gandhinagar, India *Submission Deadline: 22nd September 2024 (Extended)* Website: fire.irsi.org.in Submission Link : https://cmt3.research.microsoft.com/FIRE2024 ------------------------------ The 16th meeting of the Forum for Information Retrieval Evaluation 2024 will be held at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. It will be an in-person conference. We are seeking submissions of high-quality and original papers. Submissions will be reviewed by experts on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality and the overall contribution to the field of IR/NLP. Authors are also encouraged to describe work in progress and late-breaking research results. *Topics of interest include, but are not limited to* 1. Search and Ranking: Research on core algorithmic topics in IR: 1. Queries and query analysis (e.g., Query understanding, query reformulation, query representation etc.) 2. Retrieval models and ranking (e.g., Cross lingual IR with a particular focus on Indian languages, ranking algorithms, language models, retrieval algorithms, learning to rank etc) 3. Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling etc). 4. Supervised/Weakly supervised deep neural networks. 5. Other domain-specific applications of IR. 2. Evaluation: Research on evaluation of IR systems: 1. User centric evaluation (e.g., User experience, user engagement etc) 2. System centric evaluation (e.g., Evaluation metrics). 3. Query Performance Prediction and its applications. 3. Generative Models for IR/NLP. 1. Conversational and Interactive Search Systems 2. Simulated Data for Personalized IR. 3. Issues related to fairness and trustworthiness of IR/Recsys models 4. In-Context Learning or Retrieval Augmented Generation for Search and NLP downstream tasks, such as Question Answering, Summarization 5. Domain-specific generation, such as Code generation, Argument generation, Workflow generation. 4. Explainability, Fairness and Trust of IR/Recsys models 1. Explainable models for ranking, text classification/clustering, summarization etc. 2. User studies for explainable AI (XAI) applied to IR/Recsys 3. Issues related to fairness and trustworthiness of IR/Recsys models 5. Multimodal and Crossmodal IR/Recsys model 1. Visual Question Answering 2. Image search/recommendation 3. Question answering 4. Multimodal document summarization *Important dates* *25th July 2024* Paper submission link <https://cmt3.research.microsoft.com/FIRE2024> will be available *5th September 2024 22nd September 2024 * Paper submission deadline *30th October 2024 * Paper acceptance notification *10th November 2024 * Camera ready copy submission deadline *12th-15th December 2024* In-person conference Note: All submission deadlines are 11:59 PM AoE Time Zone (Anywhere on Earth). *Submission Guidelines* Submissions must describe substantial, original and unpublished work. Wherever appropriate, concrete evaluation and analysis must be included. If the paper being submitted is under review at any other venue, the same should be explicitly mentioned when making the submission. Such a paper, if accepted, should be withdrawn from all other places. The FIRE conference track, this year, is subdivided into 2 different subtracks (described later), each with a different scope and objective, and with different reviewing policy. Please make sure that you are submitting your paper in the correct track. No requests for switching papers across tracks will be entertained after the deadline for paper submission expires. Submissions will be taken through Microsoft CMT. Select the "Conference Track" while submitting the paper and in the subject area select the appropriate paper type (Regular Paper, Resource and Demo Paper, Extended Abstract). Please note that incorrect submission will be desk rejected. Link to submit the paper: https://cmt3.research.microsoft.com/FIRE2024 *Paper Template and Submission* The submitted papers must follow LNCS (Springer conference) template available on https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… . The only accepted format of submissions is PDF. Papers which do not conform to the requirements may get rejected without review. Please note that it is the responsibility of the authors to ensure that the PDF submission has been uploaded successfully (we suggest that you try downloading your paper again yourself, to check). Authors are invited to submit in any of the following tracks: - *Regular paper* Similar to last year, this year, also we don’t make any explicit distinction between long and short papers. More time will be allocated for longer papers during the presentation. Submitted papers can be of *variable length* up to a *maximum of 12* pages of *content (excluding references)* . Reviewing policy: Double-blind. - *Resource and Demo paper* The papers submitted at this track should describe data or software resources towards a research problem that will be helpful to the IR/NLP/AI community. Such resources should ideally be made publicly available for reviewers to judge the merit of the resources. The demo papers should contain a link to a working software that demonstrates the application of existing research methods as a proof-of-the-concept. Reviewing policy: Single-blind. Number of pages: *variable length* up to a *maximum of 9* pages of *content (excluding references).*. *Double-blind Reviewing Policy* All submissions to the regular track of FIRE conference 2024 will be reviewed on the basis of originality, relevance, importance, and clarity. For papers submitted to the regular track, the authors must not mention their names or institutional details anywhere in the paper. Authors should refer to themselves in third person when citing their own work. Expressions like "In our earlier work..." or "We previously showed that..." must be avoided. *Presentation Requirements* If accepted, at least one author will have to register for the conference and present their work in-person. *Conference Track Co-ordinator* - Debasis Ganguly (University of Glasgow, UK) - Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, Kolkata, India) For queries related to conference please email us at [ clia(a)isical.ac.in ] For latest updates subscribe the FIRE mailing List [ https://groups.google.com/forum/#!forum/fire-list ]

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Call for Papers for the 22nd Annual Workshop of the Australasian Language Technology Association (ALTA) extended to 27th September
by Kathy Reid 17 Sep '24

17 Sep '24

Dear Colleagues, The CfP for the 22nd Annual Workshop of the Australasian Language Technology Association - ALTA 2024 - is now open and has been extended to 27th September (23:59hrs Anywhere on Earth UTC -12) Details are available on our website at https://alta2024.alta.asn.au/calls/papers and a summary follows. --- Important Dates * Submission deadline for short/long papers, presentation abstracts and industry demonstrations: 20 September 2024 (23:59 Anywhere On Earth UTC-12). * Main conference: 3 December and 4 December 2024, ANU, Canberra, ACT, hybrid (in person and online) Overview The 22nd Annual Workshop of the Australasian Language Technology Association (ALTA) will be held in a hybrid format at the Australian National University, Canberra, from 2 December to 4 December 2024 and also online. The ALTA 2024 workshop is the key local forum for socialising research results in Natural Language Processing (NLP) and Computational Linguistics (CL). It will feature presentations, posters, and demonstrations from students, industry, and academic researchers. Like previous years, we also encourage submissions and participation from industry and government researchers and developers. Note that ALTA is listed in the CORE 2023 Conference Rankings as Australasian C<https://www.core.edu.au/conference-portal>. Topics ALTA invites the submission of papers and presentations on all aspects of NLP and CL, including, but not limited to: * Commonsense Reasoning. * Computational Social Science and Cultural Analytics. * Dialogue and Interactive Systems. * Discourse and Pragmatics. * Efficient Methods for NLP. * Ethics in NLP. * Information Extraction. * Information Retrieval and Text Mining. * Interpretability, Interactivity and Analysis of Models for NLP. * Language Grounding to Vision, Robotics and Beyond. * Language Modeling and Analysis of Language Models. * Linguistic Theories, Cognitive Modeling and Psycholinguistics. * Machine Learning for NLP. * Machine Translation. * Multilinguality and Linguistic Diversity. * Natural Language Generation. * NLP Applications. * Phonology, Morphology and Word Segmentation. * Question Answering. * Resources and Evaluation. * Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc. * Sentiment Analysis, Stylistic Analysis, and Argument Mining. * Speech and Multimodality. * Summarisation. * Syntax, Parsing and their Applications. We particularly encourage submissions that broaden the scope of our community by considering practical applications of language technology and multidisciplinary research. We also specifically encourage submissions from the industry. Format and instructions for authors Please refer to our CfP webpage for specifics.<https://alta2024.alta.asn.au/calls/papers> We are using OpenReview for submissions, and invite submissions of three different formats: (1) Original Research Papers, (2) Abstract-based Presentations, and (3) Industry Demonstrations. --- You can follow ALTA on social media at the following links: * LinkedIn (page): https://www.linkedin.com/company/australasian-language-technology-associati… * LinkedIn (group):https://www.linkedin.com/groups/1849979/ * Twitter: https://twitter.com/altanlp * Mastodon: https://sigmoid.social/@ALTAnlp * Hashtag is #ALTA2024 With kind regards, on behalf of the ALTA 2024 Team: Dr Gabriela Ferraro, General Chair Professor Tim Baldwin, Program Chair Dr Sergio José Rodríguez Méndez, Program Chair Dr Nicholas Kuo, Program Chair Dr Anton Malko, Publication Chair Dr Dawei Chen, Technology Chair A/Prof Shunichi Ishihara, Finance Chair Charbel El-Khaissi, PhD candidate, Sponsorship Chair Ned Cooper, PhD candidate, Local Chair Kathy Reid, PhD candidate, Publicity Chair

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Artificial Intelligence Research in Applied Linguistics (AIRiAL) 2024 Conference
by Voss, Erik 17 Sep '24

17 Sep '24

Apologies for cross-posting! There’s still time to register for the Artificial Intelligence Research in Applied Linguistics (AIRiAL) 2024 Conference. Register here <https://sites.google.com/tc.columbia.edu/airialconference/airial-2024/regis…> for the conference. Theme AI in Education: Empowering Learners & Preparing Educators Location Teachers College, Columbia University Smith Learning Theater (in person) Dates September 27-28, 2024 Plenary Speakers Yanis Ben Amor, Columbia University Monica Arés, Imperial College Business School The AL & TESOL Language and Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> in the Applied Linguistics & TESOL program at Teachers College will host the second annual Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL). The theme of this conference emphasizes the transformative role of artificial intelligence (AI) in education and language teaching, focusing on AI literacy among learners and the preparedness of educators for the AI-driven future. We are interested in contributions that showcase AI technologies prioritizing human values, ethics, and the enhancement of human capabilities in the context of applied linguistics. Submissions may cover a wide array of topics within the scope of AI literacy and applied linguistics. We look forward to seeing you at the conference! For more details, visit our conference website here. <https://sites.google.com/tc.columbia.edu/airialconference/airial-2024-home> -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> Editor-in-Chief of NYS TESOL Journal Associate Editor of Language Assessment Quarterly *Latest Publications* Voss, E. et al. (2023). The Use of Assistive Technologies Including Generative AI by Test Takers in Language Assessment: A Debate of Theory and Practice. <https://doi.org/10.1080/15434303.2023.2288256> LAQ Journal Voss, E. (2024) Duolingo Webinar: Current Applications of Artificial Intelligence in Language Assessment <https://youtu.be/b-mjLmvXLBU?si=nmph76-lizkfzi1J> (1 hour) Voss, E. (2024). Language Assessment and Artificial Intelligence. <https://books.google.com/books?hl=en&lr=&id=ht8aEQAAQBAJ&oi=fnd&pg=PA112&ot…> The Concise Companion to Language Assessment.

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CFP, the 9th Biomedical Linked Annotation Hackathon (BLAH9)
by Jin-Dong Kim 16 Sep '24

16 Sep '24

The 9th Biomedical Linked Annotation Hackathon (BLAH9) 13 - 17 January, 2025 Tachikawa, Tokyo, Japan https://blah9.linkedannotation.org/ Submission due of project proposals : 18 Oct., 2024 SPECIAL THEME Ensuring Robustness in LLM-based Research: Reproducibility, Interoperability, and Reliable Evaluation. INTRODUCTION BLAH (Biomedical Linked Annotation Hackathon) represents a series of annual hackathon events, specifically designed to foster open collaboration. The goal is to achieve a breakthrough in the sharing and linking of various resources for biomedical literature annotation and mining. By enhancing the interoperability of these resources, the initiative aims to substantially increase both the productivity and the impact within the community. The 9th edition of BLAH (BLAH9) will be held under the special theme "Ensuring Robustness in LLM-based Research: Reproducibility, Interoperability, and Reliable Evaluation." Reproducibility and reliable evaluation are key to ensure that research remains robust and trustworthy. However, with the recent surge in research using large language models (LLMs), these important principles have become largely unclear. Interoperability, a vital component for fostering robust collaboration and promoting open science, has similarly faced challenges as LLM-based research expands. Now, two years into the surge of LLM-based research, it is an opportune moment to reassess and prioritize these critical aspects of research and development to ensure long-term sustainability and rigor in the field. CALL FOR PROJECT PROPOSALS We are seeking project proposals from individuals and teams interested in advancing biomedical literature annotation and mining, with a particular focus this year on enhancing reproducibility, interoperability, and reliable evaluation in the context of using large language models (LLMs). Proposals should be structured to achieve measurable outcomes through collaboration during the hackathon, with clearly defined objectives that can lead to meaningful insights by the end of the event. Suggested proposal topics may include, but are not limited to: - Enhancing interoperability in LLM-based annotation and mining - Developing reliable evaluation frameworks for LLM-based annotation and mining - Improving reproducibility in LLM-based annotation and mining - ... Submission due of project proposals is 18 Oct., 2024 TRAVEL SUPPORT Those who submit project proposals are eligible to apply for travel support. See the homepage for detailed information. PROGRAM COMMITTEE - Jin-Dong Kim - DBCLS, ROIS-DS - Fabio Rinaldi - IDSIA - Zhiyong Lu - NCBI, NLM - Lars Juhl Jensen - Univ. Copenhagen

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September 2024 Newsletter - LDC
by Penn LDC 16 Sep '24

16 Sep '24

In this newsletter: LDC data and commercial technology development New publications: L2-KSU Native and Non-Native Arabic Speech<https://catalog.ldc.upenn.edu/LDC2024S11> MATERIAL Somali-English Language Pack<https://catalog.ldc.upenn.edu/LDC2024S10> ________________________________ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product, or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: L2-KSU Native and Non-Native Arabic Speech<https://catalog.ldc.upenn.edu/LDC2024S11> was developed by King Saud University<http://ksu.edu.sa/en/> (KSU) and contains approximately six hours of Modern Standard Arabic read speech from 80 subjects, along with transcripts and speaker metadata. The speech data was collected in 2022 from 40 native and 40 non-native speakers. Native speakers were from Saudi Arabia, Egypt, and Palestine, and provided audio recordings through the crowd sourcing platform Khamsat<https://khamsat.com/>. Non-native speakers were Central and West African students enrolled in KSU's Arabic Linguistics Institute; they provided speech recordings on site. All subjects read a series of ten sentences, repeating each sentence multiple times. 2024 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. * MATERIAL Somali-English Language Pack<https://catalog.ldc.upenn.edu/LDC2024S10> was developed by Appen<http://www.appen.com/> for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL<https://www.iarpa.gov/index.php/research-programs/material> (Machine Translation for English Retrieval of Information in Any Language) program. It contains 80 hours of Somali conversational telephone speech, transcripts, English translations, annotations, and queries. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments. Transcripts cover approximately 10% of the speech files, and approximately 4% of the speech files were translated into English. This release also includes domain annotations, English queries, and their relevance annotations. The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries. 2024 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. 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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Call for for Participation: SemEval Shared Task 11 (Bridging the Gap in Text-Base Emotion Detection)
by Nedjma OUSIDHOUM 16 Sep '24

16 Sep '24

Dear corpora-list members, We are glad to announce SemEval shared task 11: Bridging the Gap in Text-Based Emotion Detection <https://github.com/emotion-analysis-project/SemEval2025-Task11>. New textual datasets will be provided for 33 languages: Afrikaans <https://en.wikipedia.org/wiki/Afrikaans>, Algerian Arabic <https://en.wikipedia.org/wiki/Algerian_Arabic>, Amharic <https://en.wikipedia.org/wiki/Amharic>, Hausa <https://en.wikipedia.org/wiki/Hausa_language>, Igbo <https://en.wikipedia.org/wiki/Igbo_language>, Kinyarwanda <https://en.wikipedia.org/wiki/Kinyarwanda>, Moroccan Arabic <https://en.wikipedia.org/wiki/Moroccan_Arabic>, Mozambican Portuguese <https://en.wikipedia.org/wiki/Mozambican_Portuguese>, Nigerian-Pidgin <https://en.wikipedia.org/wiki/Nigerian_Pidgin>, Oromo <https://en.wikipedia.org/wiki/Oromo_language>, Setswana <https://en.wikipedia.org/wiki/Tswana_language>, Somali <https://en.wikipedia.org/wiki/Somali_language>, Swahili <https://en.wikipedia.org/wiki/Swahili_language>, Tigrinya <https://en.wikipedia.org/wiki/Tigrinya_language>,Xitsonga <https://en.wikipedia.org/wiki/Tsonga_language>, isiXhosa <https://en.wikipedia.org/wiki/Xhosa_language>, Yoruba <https://en.wikipedia.org/wiki/Yoruba_language>, isiZulu <https://en.wikipedia.org/wiki/Zulu_language>, Modern Standard Arabic <https://en.wikipedia.org/wiki/Arabic>, Chinese <https://en.wikipedia.org/wiki/Chinese_language>, Hindi <https://en.wikipedia.org/wiki/Hindi>, Indonesian <https://en.wikipedia.org/wiki/Indonesian_language>, Javanese <https://en.wikipedia.org/wiki/Javanese_language>, Marathi <https://en.wikipedia.org/wiki/Marathi_language> English <https://en.wikipedia.org/wiki/English_language>, German <https://en.wikipedia.org/wiki/German_language>, Romanian <https://en.wikipedia.org/wiki/Romanian_language>, Russian <https://en.wikipedia.org/wiki/Russian_language>, Latin American Spanish <https://en.wikipedia.org/wiki/Spanish_language_in_the_Americas>, Tatar <https://en.wikipedia.org/wiki/Tatar_language>, Ukrainian <https://en.wikipedia.org/wiki/Ukrainian_language>, Swedish <https://en.wikipedia.org/wiki/Swedish_language> Brazilian Portuguese <https://en.wikipedia.org/wiki/Brazilian_Portuguese>. This shared task is on perceived emotion and focuses on: - Determining what emotion most people will think the speaker may be feeling given a sentence or short text snippet uttered by the speaker. The task is *not about*: - The emotion evoked in the reader. - The emotion of someone else mentioned in the text. - Or even the true emotion of the speaker (which cannot be definitively known from just a short text snippet). We acknowledge the importance of this distinction as perceived emotions can differ from actual emotions due to various factors such as cultural context, individual differences in emotional expression, and the limitations of text-based communication. (See more here <https://github.com/emotion-analysis-project/SemEval2025-Task11?tab=readme-o…> .) Participants can participate in one or more of the following tracks: Track A: Multi-label Emotion Detection Given a target text snippet, predict the perceived emotion(s) of the speaker. A training dataset with gold emotion labels will be provided for this track. Track B: Emotion Intensity Given a target text and a target perceived emotion, predict the intensity for each of the classes. *Track C: Cross-lingual Emotion Detection* Given a labeled training set in one of the languages, predict the perceived emotion labels of a new text instance in a different target language. *Important Dates and Phases of the Task* Description Deadline Sample Data Ready 15 July 2024 Training Data Ready 10 September 2024 Evaluation Start 10 January 2025 Evaluation End 31 January 2025 System Description Paper Due 28 February 2025 Notification to authors 31 March 2025 Camera ready due 21 April 2025 SemEval workshop 2025 (co-located with a major NLP conference) *Note that our task is inclusive and junior-friendly. We will organise a QA session with the participants before the competition starts and we will organise a system description writing tutorial.*Data Available on https://github.com/emotion-analysis-project/SemEval2025-Task11 Useful Links for the participants *Contact Organisers *emotion-semeval-2025-organisers(a)googlegroups.com *Twitter/X* @EmoSemEval2025 <https://x.com/EmoSemEval2025> FAQs <https://github.com/emotion-analysis-project/SemEval2025-Task11?tab=readme-o…> and Terms and Conditions <https://github.com/emotion-analysis-project/SemEval2025-Task11?tab=readme-o…> *Competition webpage* https://www.codabench.org/competitions/3863/ *Discord* https://discord.gg/wnVUerj5Rz *Google Group* emotion-semeval-2025-participants(a)googlegroups.com Best regards, The Organisers: Shamsuddeen Hassan Muhammad, Seid Muhie Yimam , Nedjma Ousidhoum, Idris Abdulmumin, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Alham Fikri Aji, Felermino Ali, Vladimir Araujo, Abinew Ali Ayele, Tadesse Destaw Belay, Meriem Beloucif, Christine de Kock, Oana Ignat, Vukosi Marivate, Alexander Panchenko, Terry Ruas, Nirmal Surange, Daniela Teodorescu, Jan Philip Wahle, Yi Zhou, Saif M. Mohammad.

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Four-year post-doctoral position in computer science / digital humanities at the University of Helsinki, Finland
by Hiippala, Tuomo J 16 Sep '24

16 Sep '24

Dear all, I'm looking to recruit a post-doctoral researcher in computer science or digital humanities to my ERC-funded project, which started in May 2024: https://www.helsinki.fi/en/researchgroups/multimodality/a-foundation-for-em… The project develops novel methods and resources for studying multimodality, or how human communication naturally combines multiple 'modes' of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data studied in the project includes, for example, school textbooks, user-generated explanation videos on social media, news broadcasts, instruction manuals and online newspapers. This is a fixed-term position for 48 months, starting in January 2025 or as agreed, based in the Department of Languages at the University of Helsinki, Finland. The deadline for applications is October 21, 2024. RESPONSIBILITIES: The post-doctoral researcher is responsible for developing new methods for querying the multimodal corpora created in the project, which describe the structure of multimodal discourse using graphs that combine crowdsourced human insights and vector representations. QUALIFICATIONS: The appointee must hold a doctoral degree in digital humanities, humanities computing, language technology, computer science or a related field, and have a keen interest in multimodality. Previous experience of working with knowledge graphs or information retrieval is essential. For more information, see the full announcement here: https://jobs.helsinki.fi/job-invite/3513/ If you have any questions, please do not hesitate to contact me. Best, Tuomo Hiippala --- Dr. Tuomo Hiippala | Professor of English Language and Digital Humanities Department of Languages | University of Helsinki, Finland | +358 50 377 33 66 http://www.helsinki.fi/~thiippal/ | https://www.helsinki.fi/multimodality

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Job opportunity - Professorship for Translation Studies
by Kunz, Prof. Dr. Kerstin 16 Sep '24

16 Sep '24

Dear all, the Faculty of Modern Languages at Heidelberg University invites applications for a Professorship for “Translation Studies“ (f/m/d) Open rank: Tenure Track Professorship (W1 to W3) or Full Professor (W3) to be occupied on October 1, 2025. The Institute for Translation and Interpreting at the University of Heidelberg offers the position of professor of translation studies with a focus on translation processes and translation workflow. We are seeking candidates with a first independent research profile after the doctorate for the tenure track level (W1). This position will initially be limited to six years and, following a positive tenure evaluation, will be converted to a permanent W3 full professorship. Candidates that are more qualified may be appointed directly on the full professor level. Applicants should have a track record of empirical research into the interfaces between different processes, resources and competences of translation and multilingual text production, such as interactions of human, computer-aided and machine translation, innovative forms of inter- and intralingual translation/communication, also in the continuum between spoken and written language (e.g. multimedia/ audiovisual translation, speech-to-text interpreting, translation into “Leichte Sprache”/ Easy Language). Experience in conducting major research projects, success in securing external funding, and a record of participation in academic self-governance will be advantageous. Deadline for applications: October 31, 2024 More information at: https://adb.zuv.uni-heidelberg.de/info/INFO_FDB$.startup?MODUL=LS&M1=1&M2=0… https://adb.zuv.uni-heidelberg.de/info/INFO_FDB$.startup?MODUL=LS&M1=1&M2=0… ----- Prof. Dr. Kerstin Kunz Institut für Übersetzen und Dolmetschen Plöck 57a, 69117 Heidelberg Tel.: 0049-(0)6221-547227 Email: kerstin.kunz(a)iued.uni-heidelberg.de<mailto:kerstin.kunz@iued.uni-heidelberg.de>

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Call for submissions: Conference on Rational Approaches in Language Science (RAILS)
by Stefania Degaetano-Ortlieb 16 Sep '24

16 Sep '24

Call for submissions: Conference on Rational Approaches in Language Science (RAILS) The 2nd Conference on Rational Approaches in Language Science (RAILS) will be held in Saarbruecken, Germany, 13-15 February 2025. The central theme of this conference is rational communication, i.e. the idea that language users continuously strive to optimize their means of communication to effectively convey their intended messages. RAILS brings together research on (1) how interlocutors process and update information in diverse situational contexts, (2) how language use is adapted to certain contexts and intended referents, and (3) how linguistic and conceptual information is stored and maintained in short- and long-term memory. We invite submissions from researchers across the language sciences – including speech science, theoretical linguistics, empirical linguistics, psycholinguistics and neuroscience, computational linguistics, as well as language development, change and evolution – who apply rational probabilistic explanations to linguistic phenomena, or bring novel experimental findings to bear on such accounts. Keynote speakers: Mark Dingemanse (Radboud University) Richard Futrell (University of California, Irvine) Adele Goldberg (Princeton University) Rachel Ryskin (University of California, Merced) Submission guidelines: Abstracts should be submitted as a single PDF file via https://app.oxfordabstracts.com/stages/43090/submissions/new <https://app.oxfordabstracts.com/stages/43090/submissions/new?behalf=false&f…>, adhering to the guidelines listed on our conference website <https://sfb1102.uni-saarland.de/sfb-conference-2025/>. We accept submissions for posters and/or talks. Talks are slated for 20 minutes plus 10 minutes for questions. Submission of planned work is invited for poster presentation only. Note that, if accepted, we expect results to be presented at the conference. Important dates: Submissions open: 8 July, 2024 Submissions due: 16 September, 2024 Notification of acceptance: 4 November, 2024 Registration period: 11 November-16 December, 2024 De-anonymized abstracts due in final form: 2 December, 2024 Conference: 13-15 February, 2025 Scientific Committee: Regine Bader Stefania Degaetano-Ortlieb Katja Haeuser Robin Lemke Ivan Yuen Scientific and financial support for this conference comes from the Collaborative Research Center SFB1102 Information Density and Linguistic Encoding <https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sfb110…>. For inquiries, please send an email to rails2025(a)lst.uni-saarland.de <mailto:rails2025@lst.uni-saarland.de>. Stefania Degaetano-Ortlieb Associate Professor Universität des Saarlandes Language Science and Technology Campus A2.2, 1.06 66123 Saarbrücken Tel.: ++49 681 302 70077 E-Mail: s.degaetano(a)mx.uni-saarland.de www.stefaniadegaetano.com

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