- Corpora - ELRA lists

Professor of Language Technology at the Department of Swedish, Multilingualism, Language Technology; University of Gothenburg
by Gerlof Bouma 04 Mar '24

04 Mar '24

The Department of Swedish, Multilingualism, Language Technology at the University of Gothenburg is inviting applications for the position of Professor of Language Technology. The new professor's main duties will be to lead and develop research, education, and outreach in the field of language technology at the department, in particular within its Språkbanken Text group. A detailed description of the position and the application requirements can be found in University of Gothenburg's job application portal, at the link below. This detailed description is only available in Swedish, as proficiency in Swedish or another Scandinavian language is required for the position. Applications must be submitted no later than 8 April 2024. https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… <https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038…> -- GERLOF BOUMA Universitetslektor GÖTEBORGS UNIVERSITET Institutionen för svenska, flerspråkighet och språkteknologi Språkbanken Text https://spraakbanken.gu.se/om/personal/gerlof

1 0

Third Call For Papers: The Fourth Workshop on Insights from Negative Results (co-located with NAACL 2024)
by Shabnam Tafreshi 04 Mar '24

04 Mar '24

Dear colleagues, The Fifth Workshop on Insights from Negative Results in NLP Co-located with NAACL, June 16-21 2024 First Call for Participation Insights Website: <https://insights-workshop.github.io/> Contact email: insights-workshop-organizers(a)googlegroups.com *Overview Publication of negative results is difficult in most fields, but in NLP the problem is exacerbated by the near-universal focus on improvements in benchmarks. This situation implicitly discourages hypothesis-driven research, and it turns creation and fine-tuning of NLP models into art rather than science. Furthermore, it increases the time, effort, and carbon emissions spent on developing and tuning models, as the researchers have no opportunity to learn what has already been tried and failed. This workshop invites both practical and theoretical unexpected or negative results that have important implications for future research, highlight methodological issues with existing approaches, and/or point out pervasive misunderstandings or bad practices. In particular, the most successful NLP models currently rely on Transformer-based large language models (LLMs). To complement all the success stories, it would be insightful to see where and possibly why they fail. Any NLP tasks are welcome: sequence labeling, question answering, inference, dialogue, machine translation - you name it. A successful negative results paper would contribute one of the following: ** broadly applicable recommendations for training/fine-tuning/prompting, especially if X that didn’t work is something that many practitioners would think reasonable to try, and if the demonstration of X’s failure is accompanied by some explanation/hypothesis; ** ablation studies of components in previously proposed models, showing that their contributions are different from what was initially reported; ** datasets or probing tasks showing that previous approaches do not generalize to other domains or language phenomena; ** trivial baselines that work suspiciously well for a given task/dataset; ** cross-lingual studies showing that a technique X is only successful for a certain language or language family; ** experiments on (in)stability of the previously published results due to hardware, random initializations, preprocessing pipeline components, etc; ** theoretical arguments and/or proofs for why X should not be expected to work; ** demonstration of issues with data processing/collection/annotation pipelines, especially if they are widely used; ** demonstration of issues with evaluation metrics (e.g. accuracy, F1 or BLEU), which prevent their usage for fair comparison of methods; ** demonstration of issues with under-reporting of training details of pre-trained models, including test data contamination and invalid comparisons In 2024, we will invite the authors of accepted negative results papers to nominate the specific work reporting the original positive results. The goal is to organize joint discussion sessions, so that the community can learn the most from the specific insightful failure. * Important Dates ** Submission due: March 10, 2024 ** Submission due for papers reviewed through ACL Rolling Review: April 7, 2024 ** Notification of acceptance: April 14, 2024 ** Camera-ready papers due: April 24, 2024 ** Workshop: TBA, between June 21-22, 2024 * Submission Submission is electronic, using the Softconf START conference management system. Submission link: <https://softconf.com/naacl2024/insights2024/> The workshop will accept short papers (up to 4 pages, excluding references), as well as 1-2 page non-archival abstract submissions for papers published elsewhere (e.g. in one of the main conferences or in non-NLP venues). The goal of this event is to stimulate a meaningful community-wide discussion of the deep issues in NLP methodology, and the authors of both types of submissions will be welcome to take part in our get-togethers. The workshop will run its own review process, and papers can be submitted directly to the workshop by March 10, 2024. It is also possible to submit a paper accompanied with reviews from the ACL Rolling Review system by April 7, 2024. The submission deadline for ARR papers follows the ACL RR calendar. Both research papers and abstracts must follow the ACL two-column format. Official style sheets: https://github.com/acl-org/acl-style-files Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Please follow the formatting guidelines outlined here: https://acl-org.github.io/ACLPUB/formatting.html * Multiple Submission Policy The workshop cannot accept work for publication or presentation that will be (or has been) published elsewhere and that have been or will be submitted to other meetings or publications whose review periods overlap with that of Insights. Any questions regarding submissions can be sent to insights-workshop-organizers(a)googlegroups.com. If the paper has been rejected from another venue, the authors will have the option to provide the original reviews and the author response. The new reviewers will not have access to this information, but the organizers will be able to take into account the fact that the paper has already been revised and improved. * Anonymity Period The workshop will follow the new ACL policy: https://www.aclweb.org/adminwiki/index.php/ACL_Anonymity_Policy * Presentation All accepted papers must be presented at the workshop to appear in the proceedings. Authors of accepted papers must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for the workshop. Previous presentations of the work (e.g. preprints on arXiv.org) should be noted in a footnote in the camera-ready version (but not in the anonymized version of the paper). The workshop will take place during NAACL 2024 (June 16-21 2024). It will be hybrid, allowing for both in-person and virtual presentations. * Organization Committee ** Shabnam Tafreshi, inQbator AI at eviCore Healthcare ** Arjun Reddy Akula, Google Research ** João Sedoc, New York University ** Anna Rogers, IT University of Copenhagen ** Aleksandr Drozd, RIKEN ** Anna Rumshisky, University of Massachusetts Lowell / Amazon Alexa * Contact info Any questions regarding the workshop can be sent to insights-workshop-organizers(a)googlegroups.com. Please continue reading about: Authorship, Citation and Comparison, Ethics Policy, Reproducibility, and Presentation in the call for paper page on our website: https://insights-workshop.github.io/2024/cfp/ Regards, Insights 2024 Organizers -- *Shabnam Tafreshi, PhD* *Machine Learning Senior Advisor - NLP Researcher* *Computational Linguistics, NLP* *inQbator AI at eviCore Healthcare* *"All the problems of the world could be settled easily, if people only willing to think."* *-Thomas J. Watson*

1 0

Third Call for Papers: International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
by Constantin Orasan 04 Mar '24

04 Mar '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 https://nettt-conference.com/ Submission deadline: 31st March 2024 # The conference The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024. Continuing the tradition of the first edition of the NeTTT conference and HiT-IT events series, the objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings. # Conference topics Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting. NeTTT’2024 will feature a Special Theme Track "Future of Translation Technology in the Era of LLMs and Generative AI". The conference topics include but are not limited to: ## CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools ## Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT ## Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation ## Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation ## Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting ## Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services) ## Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation ## Subtitling - NLP and MT for subtitling - Latest technology for subtitling ## User needs - Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology - User requirements for interpreting and translation tools - Incorporating human knowledge into translation and interpreting technology - What existing translators’ (including subtitlers’) and interpreters’ tools do not offer - User requirements for electronic resources for translators and interpreters - Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed ## The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation /interpreting / language provider company ## Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula ## Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems # Special Theme Track - Future of Translation Technology in the Era of LLMs and Generative AI We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMSs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting # Keynote speakers We are delighted to announce the NeTTT’2024 keynote speakers - Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation - Carla Parra Escartín (RWS Language Weaver) # Tutorial (3 July 2024) - Tharindu Ranasinghe (Aston University), Quality Estimation for Machine Translation # Programme Committee The Programme Committee of NeTTT’2024 is listed https://nettt-conference.com/26844-2/. # Conference Chairs - Ruslan Mitkov (Lancaster University) - Gloria Corpas Pastor (University of Malaga) # Programme Chairs - Constantin Orasan (University of Surrey) - Tharindu Ranasinghe (Aston University) # Sponsorship Chair - Vilelmini Sosoni (Ionian University) # Publication Chair - Maria Kunilovskaya (University of Saarland) # Organising Committee - Organising Committee of NeTTT’2024 is listed https://nettt-conference.com/organisers/ # Submissions and publication NETTT’2024 invites the following types of submissions: User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages. Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): • (academic) full papers – describing original completed research. Allowed paper length: maximum 12 pages + unlimited references. • (academic) work-in-progress papers/posters – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 7 pages + unlimited references. • (academic) demo papers – describing working systems. Allowed paper length: maximum 5 pages + unlimited references. In addition to the papers, the authors will be expected to demonstrate the systems at the workshop. The conference will not consider and evaluate abstracts only. Each submission will be reviewed by three members of the Programme Committee. Submission is organised via Softconf START conference management system at https://softconf.com/n/nettt2024. For submitting the papers, we invite the authors to comply with the Springer format, following the templates: • LaTeX: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386…, • Overleaf: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…, • Word: https://resource-cms.springernature.com/springer-cms/rest/v1/content/192387…. The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers. The final version of the accepted papers will be published in e-proceedings with assigned ISBN and DOI. All accepted papers will be included in the conference e-proceedings which will be available at the conference website. # Schedule - Submission deadline: 31 March 2024 - Notification: 5 June 2024 - Final version due: 20 June 2024 All deadlines are valid for 23.59 Anywhere on Earth. # Registration Conference registration is open on https://nettt-conference.com/fees-registration/ The promotional early registration fee has been extended to 17 March 2024. # Venue The conference will take place at https://www.chernomorebg.com/en/conference-centre.html, Varna, situated only 200 m away from the fine sandy Black Sea beach. # Further information and contact details The conference website is https://nettt-conference.com and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com --- Prof Constantin Orăsan Professor of Language and Translation Technologies https://www.surrey.ac.uk/centre-translation-studies | https://www.surrey.ac.uk/school-literature-languages Personal page: https://dinel.org.uk Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

1 0

CFP: ICNLSP 2024, 7th International Conference on Natural Language and Speech Processing, 16, 17 October 2024
by Mourad Abbas 04 Mar '24

04 Mar '24

We are delighted to invite you to #ICNLSP 2024, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024. The conference will be hybrid (it can be attended in-person and online). ICNLSP 2024 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing researches in the field. Authors are invited to present their work relevant to the topics of the conference - listed below - but not limited to: -Signal processing, acoustic modeling.-Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.).-Speech Analysis.-Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.).-Spoken Dialog Systems and Conversational Analysis-Speech Translation.-Speech synthesis.-Speaker verification and identification.-Language identification-Speech coding.-Speech enhancement-Speech intelligibility-Speech Perception-Speech Production-Brain studies on speech-Phonetics, phonology and prosody.-Speech and hearing disorders.-Paralinguistics of pathological speech and language.-Speech technology for disordered speech/hairing.-Cognition and natural language processing.-Machine translation.-Text categorization.-Summarization.-Sentiment analysis and opinion mining.-Computational Social Web.-Arabic dialects processing.-Under-resourced languages: tools and corpora.-Large language models.-Arabic OCR.-NLP tools for software requirements and engineering.-Knowledge fundamentals.-Knowledge management systems.-Information extraction.-Data mining and information retrieval.-Lexical semantics and knowledge representation.-Requirements engineering and NLP.-NLP for Arabic heritage documents. **PUBLICATION**1- All accepted papers will be published in ACL Anthology.2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. **Keynote speakers**TBA **CONTACT**icnlsp(at)gmail(dot)com https://www.icnlsp.org/2024welcome/

1 0

Second Call for Participation: BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles @ BioNLP Workshop, ACL 2024
by Tomas Goldsack 04 Mar '24

04 Mar '24

BioLaySumm 2024 The 2nd Shared Task on the Lay Summarization of Biomedical Research Articles @BioNLP Workshop, ACL 2024 Biomedical publications contain the latest research on prominent health-related topics, ranging from common illnesses to global pandemics. This can often result in their content being of interest to a wide variety of audiences including researchers, medical professionals, journalists, and even members of the public. However, the highly technical and specialist language used within such articles typically makes it difficult for non-expert audiences to understand their contents. The BioLaySumm shared task surrounds the abstractive summarization of biomedical articles, with an emphasis on catering to non-expert audiences through the generation of summaries that are more readable, containing more background information and less technical terminology (i.e., a “lay summary”). This is the 2nd iteration of BioLaySumm, following the success of the 1st edition of the task at BioNLP 2023 which attracted 56 submissions across 20 different teams. In this edition, which is again to be hosted by the BioNLP workshop <https://aclweb.org/aclwiki/BioNLP_Workshop> at ACL 2024, we aim to build on last year’s task by introducing a new test set, updating our evaluation protocol, and encouraging participants to explore novel approaches that will help to further advance the state-of-the-art for Lay Summarization. Accordingly, we will not only be offering a prize of £100 to the team with the top-ranking submission, but we will also offer a second prize of £50 to the team that proposes the most innovative approach (as decided upon by the task organizers). For more information, see: - Main site: https://biolaysumm.org/ - CodaBench site: https://www.codabench.org/competitions/1920/ Important dates: - First call for participation: 22nd January, 2024 - Releasing of task data: 22nd January, 2024 - System submission deadline: May 6th, 2024 - System papers due date: May 20th, 2024 - Notification of acceptance: June 17th, 2024 - Camera-ready system papers due: July 1st, 2024 - BioNLP Workshop Date: August 16th, 2024 Organizers: - Tomas Goldsack, University of Sheffield, UK - Matthew Shardlow, Manchester Metropolitan University, UK - Carolina Scarton, University of Sheffield, UK - Chenghua Lin, University of Manchester, UK

1 0

CFP: Shared Task on Framing the Israel War on Gaza (FIGNEWS) at ArabicNLP 2024 with ACL in Bangkok
by Wajdi Zaghouani 04 Mar '24

04 Mar '24

*Apologies for Cross Posting* Calling all NLP, Digital Humanities and media analysis enthusiasts! Participate in the "Framing the Israel War on Gaza" (FIGNEWS) shared task and play a pivotal role in shaping media narrative research. [image: 📚] Engage in creating guidelines, annotating a diverse multilingual corpus, and pushing the boundaries of NLP! *Task Website and Registration :* https://sites.google.com/view/fignews *🎯 Task Highlights:* *Guidelines Creation*: Craft comprehensive annotation guidelines and set a benchmark in NLP research. *Annotation*: Dive into annotating news articles in Arabic, Hebrew, Hindi, French, and English, uncovering biases and enhancing our understanding of media narratives. The teams will be asked to annotate a minimum of 2,000 posts. Teams will ideally have 4 members with a minimum of 2 members to participate. *Two Sub-Tasks*: The shared task aims to serve as a collaborative platform where participants propose guidelines and diverse methods for annotating and analyzing the dataset. There will be two subtasks of focus: *Sub-Task 1: Bias Annotation * *Sub-Task 2 : Propaganda Annotation* *🏆 Tracks & Awards:* *Quantity Track:* Be the team with the most annotated data batches and win the quantity track award. *Quality Track*: Excel in the accuracy and consistency of your annotations to dominate the quality track. *Guidelines Track*: Develop innovative and effective guidelines to be recognized in the guidelines track. *📅 Deadlines:* *Registration closes: March 31, 2024Submission deadline (Annotation and Guidelines): April 30, 2024Paper submissions: May 10, 2024* 🌍 Be part of this significant event, co-located with the prestigious ArabicNLP 2024 conference and ACL 2024 in Thailand. Enhance your skills, contribute to vital research, and network with global experts in NLP and media studies. Join us to make an impact and advance the field of NLP! #NLP #MediaAnalysis #ArabicNLP2024

1 0

Call for Submissions -- SIGIR 2024 Workshop on Information Retrieval for Climate Impact
by Maarten de Rijke 03 Mar '24

03 Mar '24

Call for Submissions — SIGIR 2024 Workshop on Information Retrieval for Climate Impact Climate change is a far-reaching, global phenomenon that will impact many aspects of our society. The evidence base for observed climate impacts is expanding, and the wider climate literature is growing exponentially. How can effective access be provided to the growing body of peer-reviewed literature on climate change impact? Purpose The emphasis will be on discussion, not a mini-conference but a dynamic sharing of ideas. The workshop will be organized along four areas of interest: (i) Information needs in climate impact; (ii) Search and analysis of formal literature for climate impact; (iii) Search and analysis of informal publications for climate impact; and (iv) Resources to support IR for climate impact. During the workshop, we will work towards creating actionable technical research agendas for each of them. Call for contributions To help shape a research agenda for information retrieval for climate impact, we welcome technical contributions and position papers as extended abstracts (2-4 pages) on a wide range of topics, on a wide range of topics related to information retrieval for climate impact, including but not limited to very large-scale systematic reviews, climate language models, geolocated literature with climate information, evidence synthesis. Important dates - April 25, 2024: Extended abstracts due - May 23, 2024: Notifications - July 18, 2024: Workshop at SIGIR 2024 - December 1, 2024: Submission of the Information Retrieval for Climate Impact Agenda for publication in SIGIR Forum How to submit Extended abstracts submitted to the workshop should be in English, in PDF, and formatted using the standard ACM sigconf format (using \documentclass[sigconf, natbib=true, anonymous=false]{acmart}). The review process is single-blind. The workshop uses EasyChair to handle submissions: https://easychair.org/conferences/?conf=manila24. No official proceedings will be published. Organization Bart van den Hurk (IPCC), Maarten de Rijke (U. Amsterdam), Flora Salim (UNSW, Sydney) Workshop site https://sites.google.com/view/ir-for-climate-impact/home Contact manila24(a)easychair.org -- Maarten de Rijke Distinguished University Professor AI & IR University of Amsterdam http://staff.fnwi.uva.nl/m.derijke

1 0

[Iber AuTexTification@IberLEF2024] Call for Participation
by Francisco Manuel Rangel Pardo 03 Mar '24

03 Mar '24

Event Notification Type: Call for Participation Website: <https://sites.google.com/view/autextification> https://sites.google.com/view/iberautextification We kindly invite you to participate in the IberLEF 2024 shared task - Iber AuTexTification Automated Text Identification on Languages of the Iberian Peninsula This shared task will take place as part of IberLEF 2024 <https://sites.google.com/view/iberlef-2024/tasks>, the 6th Workshop on Iberian Languages Evaluation Forum at the SEPLN 2024 Conference, which will be held in Valladolid, Spain on the 26th of September, 2023. This is the second version of the AuTexTification at IberLEF 2023 shared task (Sarvazyan et al., 2023). We extend our previous task in three dimensions: more models, more domains and more languages from the Iberian Peninsula (in a multilingual fashion), aiming to build more generalizable detectors and attributors. In this task, participants must develop models that exploit clues about linguistic form and meaning to identify automatically generated texts from a wide variety of models, domains, and languages. We plan to include LLMs like GPT-3.5, GPT-4, LLaMA, Coral, Command, Falcon, MPT, among others. New domains like essays, or dialogues, and cover the most prominent languages from the Iberian Peninsula: Spanish, Catalan, Basque, Galician, Portuguese, and English (in Gibraltar). We propose two different subtasks: - Subtask 1 (Human or Generated): Participants will be provided a text, and they will have to determine whether the text has been automatically generated or not. We encourage participants to develop models that generalize to new LLMs, writing styles, and domains. - Subtask 2 (Model Attribution): Participants will be provided an automatically generated text, and they will have to determine what LLM generated it. The novelty of this edition is to detect in a multilingual (languages from the Iberian peninsula such as Spanish, English, Catalan, Gallego, Euskera, and Portuguese), multi-domain (news, reviews, essays, dialogues, Wikipedia, wikiHow, tweets, emails, etc.), and multi-model (GPT, LLaMA, Mistral, Cohere, Anthropic, MPT, Falcon, etc.) setup, whether a text has been automatically generated or not, and, if generated, identify the model that generated the text. The datasets of this edition are built using TextMachina <https://github.com/Genaios/TextMachina>, a Python framework that aids the creation of high-quality, unbiased datasets to build robust models for MGT-related tasks such as detection, attribution, boundary, and mix-case detection. To foster engagement and reward dedication, we will award the best participant in each subtask with 500€ sponsored by Genaios <https://genaios.ai/>. Important Links - Task Website <https://sites.google.com/view/iberautextification> - GitHub Repository <https://github.com/Genaios/IberAuTexTification> - Slack workspace <https://join.slack.com/t/iberautextification/shared_invite/zt-2c28ezgwy-lHH…> - Google Groups <https://groups.google.com/g/iberautextification> - Registration <https://sites.google.com/view/iberautextification/data> Important Dates - March 22, 2023: Release of training data - April 21, 2023: Release of test data - May 10, 2023: Participant system results submission - May 17, 2023: Results notification - June 3, 2023: Paper submission - June 16, 2023: Paper peer-reviewed - July 4, 2023: Camera-ready paper version Task organizers - José Ángel González (Genaios <https://genaios.ai/>) Contact Email: jose.gonzalez(a)genaios.ai - Areg Sarvazyan (Genaios <https://genaios.ai/>) Contact Email: areg.sarvazyan(a)genaios.ai - Marc Franco-Salvador (Genaios <https://genaios.ai/>) - Francisco Rangel (Genaios <https://genaios.ai/>) - Paolo Rosso (Universitat Politècnica de València <https://www.upv.es/>) Please reach out to the organizers <organizers.autextification(a)gmail.com> or join the Slack <https://join.slack.com/t/iberautextification/shared_invite/zt-2c28ezgwy-lHH…> workspace to connect with the other participants and organizers.

1 0

12th IEEE International Conference on Intelligent Systems: Invited Session on Intelligent Tools in e/m/d Learning
by Announce 03 Mar '24

03 Mar '24

*** Second Call for Papers *** 12th IEEE International Conference on Intelligent Systems (IS'24) Invited Session on Intelligent Tools for e/m/d Learning August 29-31, 2024, Golden Sands Resort, Varna, Bulgaria https://www.ieee-is.org (*** Submission Deadline: April 1, 2024 AoE ***) This invited session aims to explore state-of-the-art advancements in intelligent tools designed to revolutionize the landscape of e-learning (electronic learning), m-learning (mobile learning) and d-learning (digital learning). With the rapid integration of technology into education, there is a growing need to investigate and showcase innovative intelligent solutions that can enhance the effectiveness of online, mobile and digital learning environments. Intelligent solutions for the educational context can have a groundbreaking and revolutionary impact on learners and faculty alike, with integrated educational tools offering enhanced engagement, support for different learning levels, styles and abilities, and personalized learning experiences with immediate feedback at its core. Papers submitted to this session are expected to present results on various aspects of intelligent tools for e-learning, m-learning and d-learning. Topics may include but are not limited to adaptive learning systems, personalized learning experiences, artificial intelligence-driven content creation, data analytics for educational insights, and the integration of emerging technologies such as augmented reality and virtual reality in educational settings. Authors are encouraged to share empirical research, case studies, and practical implementations that demonstrate the impact of intelligent tools on learner/faculty engagement, knowledge retention, and overall educational outcomes. The session aims to provide a comprehensive overview of the current state-of-the-art in intelligent tools in e-learning, m-learning and d-learning, fostering discussions on their implications for the future of education and their potential to address challenges in diverse learning environments and educational levels, as well as diverse learner ability. PAPER SUBMISSION INSTRUCTIONS Submitted papers should be in IEEE 2-column format and should adhere to the template available here: https://www.ieee-is.org/wp-content/uploads/2024/02/IS_A4_format-AAu.docx The expected paper length in camera-ready format should not exceed 6 pages. Submissions should be done in PDF using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=itl24 . PUBLICATION All accepted papers will be included in the IS'24 proceedings to be published by IEEE. The proceedings of the previous editions of IS can be found here: https://ieeexplore.ieee.org/xpl/conhome/1000395/all-proceedings . Traditionally, extended versions of conference-selected papers appear within 1-2 years after the conference dates in well-known international iournals and/or post-conference books. More information can be found on the conference web site (https://www.ieee-is.org/publication-information/ ). CONTACT POINT For any additional information or clarification please contact the Invited Session Chair, George A. Papadopoulos at george(a)ucy.ac.cy . IMPORTANT DATES • Paper submission: April 1, 2024, AoE • Notification: May 15, 2024 • Camera Ready: June 6, 2024 • Author Registration: June 6, 2024 ORGANISATION Committees https://www.ieee-is.org/program-committee/ Invited Session Chair • George A. Papadopoulos, University of Cyprus, Cyprus (george(a)ucy.ac.cy)

1 0

DEADLINE EXTENSION: BEA 2024 Final Call for Papers
by Ekaterina Kochmar 03 Mar '24

03 Mar '24

Deadline EXTENDED: Saturday, March 16, 2024, 11:59pm UTC-12 The 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) Location: Mexico City (co-located with NAACL 2024) Date: Thursday, June 20 or Friday, June 21, 2024 (TBD) Website: https://sig-edu.org/bea/current *Submission Deadline: *Saturday, March 16*, 2024, 11:59pm UTC-12* WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications (SIGEDU) <https://www.aclweb.org/adminwiki/index.php?title=2019Q3_Reports:_SIGEDU> in 2017, which currently has over 390 members. The 19th BEA workshop will have a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY), an invited paper presentation by a member of one of the educational societies from the International Alliance to Advance Learning in the Digital Era ( IAALDE <https://alliancelss.com/>), oral presentation sessions, and a large poster session to maximize the amount of original work presented. This year, the workshop is also hosting two shared tasks: on Automated Prediction of Item Difficulty and Item Response Time <https://sig-edu.org/sharedtask/2024> and on Multilingual Lexical Simplification <https://sites.google.com/view/mlsp-sharedtask-2024>. We expect that the workshop will continue to highlight novel technologies and opportunities for educational NLP in English as well as other languages. The workshop will solicit long, short and demo papers for either oral or poster presentation. We will solicit papers that incorporate NLP methods, including, but not limited to: - use of LLMs and generative AI in educational contexts - automated scoring of open-ended textual and spoken responses; - automated scoring/evaluation for written student responses (across multiple genres); - game-based instruction and assessment; - educational data mining; - intelligent tutoring; - collaborative learning environments; - peer review; - grammatical error detection and correction; - learner cognition; - spoken dialog; - multimodal applications; - annotation standards and schemas; - tools and applications for classroom teachers, learners and/or test developers; and - use of corpora in educational tools. INVITED TALKS The workshop will feature a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY) and an invited talk by a speaker from one of the IAALDE <https://alliancelss.com/> societies. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). - Submission Deadline: *Saturday, March 16*, 2024 - Notification of Acceptance: Sunday, April 14, 2024 - Camera-ready Papers Due: Wednesday, April 24, 2024 - Workshop: Thursday, June 20 or Friday, June 21, 2024 (TBD) SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. We generally follow ACL submission guidelines <https://aclrollingreview.org/cfp> and will require that all submitted papers should include a dedicated "Limitations" section, which does not count toward the page limit. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. We will be using the START conference system to manage submissions: *https://softconf.com/naacl2024/BEA2024* <https://softconf.com/naacl2024/BEA2024/> DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy <https://aclrollingreview.org/cfp>. Specifically: Papers being submitted both to BEA and another conference or workshop must: - Note on the title page the other conference or workshop to which they are being submitted. - State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE - Ekaterina Kochmar <https://ekochmar.github.io/about/>, MBZUAI - Marie Bexte < https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>, FernUniversität in Hagen - Jill Burstein <https://sites.google.com/site/jbursteinets/>, Duolingo - Andrea Horbach < https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>, FernUniversität in Hagen - Ronja Laarmann-Quante <https://www.ltl.uni-due.de/team/ronja-laarmann-quante>, Ruhr University Bochum - Anaïs Tack <https://anaistack.github.io/>, KU Leuven - Yaneva <http://www.victoriayaneva.info/>, National Board of Medical Examiners - Zheng Yuan <https://www.cl.cam.ac.uk/~zy249/>, King’s College London Workshop contact email address: bea.nlp.workshop(a)gmail.com PROGRAM COMMITTEE Tazin Afrin (Educational Testing Service); Erfan Al-Hossami (UNC Charlotte); Desislava Aleksandrova (CBC/Radio-Canada); Giora Alexandron (Weizmann Institute of Science); David Alfter (University of Gothenburg); Jatin Ambasana (Unitedworld School of Computational Intelligence); Alejandro Andrade (Pearson); Nischal Ashok Kumar (University of Massachusetts Amherst); Berk Atil (Penn State University); Shiva Baghel (Data Scientist); Rabin Banjade (University of Memphis); Michael Gringo Angelo Bayona (Trinity College Dublin); Lee Becker (Pearson); Lisa Beinborn (VU Amsterdam); Luca Benedetto (University of Cambridge); Jeanette Bewersdorff (FernUniversität in Hagen); Abhidip Bhattacharyya (CICS UMass); Serge Bibauw (UCLouvain); Ted Briscoe (MBZUAI); Jie Cao (University of Colorado Boulder); Dumitru-Clementin Cercel (University POLITEHNICA of Bucharest); Jeevan Chapagain (University of Memphis); Mei-Hua Chen (Department of Foreign Languages and Literature, Tunghai University); Mark Core (University of Southern California); Steven Coyne (Tohoku University); Sam Davidson (UC Davis); Orphee De Clercq (LT3, Ghent University); Kordula De Kuthy (University of Tübingen); Jasper Degraeuwe (Ghent University); Yo Ehara (Tokyo Gakugei University); Yang Deng (Singapore); Chris Develder (Ghent University - imec, Belgium); Yuning Ding (FernUniversität in Hagen); Rahul Divekar (Bentley University); George Dueñas (Universidad Pedagogica Nacional); Mariano Felice (British Council); Nigel Fernandez (University of Massachusetts Amherst); Michael Flor (Educational Testing Service); Jennifer Frey (Institute for Applied Linguistics, Eurac Research); Kotaro Funakoshi (Tokyo Institute of Technology); Thomas Gaillat (Université Rennes 2); Diana Galvan-Sosa (Tohoku University); Ashwinkumar Ganesan (UMBC, Amazon); Rujun Gao (Texas A&M University); Ritik Garg (IIITD); Christian Gold (FernUniversität in Hagen); Sebastian Gombert (DIPF | Leibniz Institute for Research and Information in Education); Cyril Goutte (National Research Council Canada); Abigail Gurin Schleifer (The Weizmann Institute of Science); Handoko Handoko (Universitas Andalas); Ching Nam Hang (Department of Computer Science, City University of Hong Kong); Jiangang Hao (Educational Testing Service); Nicolas Hernandez (Nantes University - LS2N); Heiko Holz (Ludwigsburg University of Education); Chieh-Yang Huang (Penn State University); Chung-Chi Huang (Frostburg State University); Anna Huelsing (Universität Hildesheim); Joseph Marvin Imperial (University of Bath, National University); Radu Tudor Ionescu (University of Bucharest); Qinjin Jia (North Carolina State University); Helen Jin (University of Pennsylvania); Ioana Jivet (Goethe University Frankfurt); Léane Jourdan (University of Nantes); Anisia Katinskaia (University of Helsinki); Elma Kerz (RWTH Aachen Univeristy); Fazel Keshtkar (St. John's University, NY); Mamoru Komachi (Hitotsubashi University); Roland Kuhn (National Research Council of Canada (NRC)); Alexander Kwako (University of California, Los Angeles); Kristopher Kyle (University of Oregon); Antonio Laverghetta Jr. (University of South Florida); Seolhwa Lee (Technical University of Darmstadt); Arun Balajiee Lekshmi Narayanan (University of Pittsburgh); Yudong Liu (Western Washington University); Zhexiong Liu (University of Pittsburgh); Julian Lohmann (Christian-Albrechts-Universität zu Kiel); Anastassia Loukina (Grammarly Inc.); Jiaying Lu (Emory University); Crisron Rudolf Lucas (UCD); Jakub Macina (ETH Zurich); Nitin Madnani (ETS); Arianna Masciolini (Språkbanken Text, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg); Sandeep Mathias (Presidency University, Bangalore); Hunter McNichols (University of Massachusetts Amherst); Amit Kumar Mishra (Amity University Madhya Pradesh); Masato Mita (CyberAgent); Phoebe Mulcaire (Duolingo); Laura Musto (Facultad de Información y Comunicación, Universidad de la República); Farah Nadeem (The World Bank); Sungjin Nam (ACT, Inc); Diane Napolitano (Associated Press); Arun Balajiee Lekshmi Narayanan (University of Pittsburgh); Tanya Nazaretsky (EPFL); Kamel Nebhi (Education First); Hwee Tou Ng (National University of Singapore); Huy Nguyen (Amazon); Gebregziabihier Nigusie (Mizan-Tepi University); Christina Niklaus (University of St.Gallen); S Jaya Nirmala (NIT Trichy India); Eda Okur (Intel Labs); Kostiantyn Omelianchuk (Grammarly); Amin Omidvar (York University); Ulrike Pado (Hochschule für Technik Stuttgart); Chanjun Park (Upstage); Udita Patel (Amazon); Long Qin (Alibaba Cloud); Mengyang Qiu (University at Buffalo); Martí Quixal (University of Tübingen); Manav Rathod (Glean); Hanumant Redkar (Goa University); Robert Reynolds (Brigham Young University); Frankie Robertson (University of Jyväskylä); Aiala Rosá (Universidad de la República); Alla Rozovskaya (City University of New York); Josef Ruppenhofer (Fernuniversität in Hagen); Omer Salem; Nicy Scaria (Indian Institute of Science); Nils-Jonathan Schaller (Christian-Albrechts-Universität zu Kiel); Gyu-Ho Shin (University of Illinois Chicago); Mayank Soni (ADAPT Center, Trinity College Dublin); Katherine Stasaski (Salesforce AI Research); Helmer Strik (Radboud University Nijmegen); Hakyung Sung (University of Oregon); Abhijit Suresh (Reddit Inc.); Chee Wei Tan (Nanyang Technological University); Zhongwei Teng (Duolingo); Xiaoyi Tian (University of Florida); Sowmya Vajjala (National Research Council, Canada); Giulia Venturi (Institute for Computational Linguistics "A. Zampolli"); Anthony Verardi (Duolingo English Test); Elena Volodina (University of Gothenburg, Sweden); Taro Watanabe (Nara Institute of Science and Technology); Michael White (The Ohio State University); Alistair Willis (The Open University, UK); Man Fai Wong (City University of Hong Kong); Simon Woodhead (Eedi); Changrong Xiao (Tsinghua University); Roman Yangarber (University of Helsinki); Su-Youn Yoon (EduLab); Marcos Zampieri (George Mason University); Fabian Zehner (DIPF | Leibniz Institute for Research and Information in Education); Torsten Zesch (FernUniversität in Hagen); Jing Zhang (Emory University); Yiyun Zhou (NBME); Jessica Zipf (University of Konstanz); Michael Zock (CNRS, (LIF) University of Aix-Marseille); Bowei Zou (Institute for Infocomm Research (I2R), A*STAR, Singapore).

1 0

2025

2024

2023

2022

Corpora