- Corpora - ELRA lists

Call for presentation of ACL Findings papers at IWSLT 2023
by Atul K. Ojha 13 May '23

13 May '23

Dear all, The IWSLT 2023 <https://iwslt.org/2023/> is happy to inform you that your Findings paper(s) <https://2023.aclweb.org/> that is accepted in ACL 2023 <https://2023.aclweb.org/> can be presented as a '*Poster*' at the IWSLT conference <https://iwslt.org/>. If you are an author of the ACL Findings paper <https://2023.aclweb.org/> pertaining to *speech translation* and would like to present your work at the IWSLT 2023 <https://iwslt.org/2023/>, please fill out *this form <https://docs.google.com/forms/d/e/1FAIpQLSeb--NTGBKMp3vk8m8RLKJljzMEoOy2yx2…>.* Many thanks, Marine, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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Fwd: The First Bangla Language Processing Workshop (BLP 2023) Co-located with EMNLP 2023 in Singapore
by Firoj Alam 12 May '23

12 May '23

***Apologies for Cross-Posting*** Call for Papers: The first BNLP workshop aims to provide a forum for the NLP, speech and multimodal communities to share and discuss their ongoing work with the international community. We particularly focus on Bangla, which is a low-resource language, and assess its current state-of-the-art and discuss strategies to make further progress in NLP, speech and multimodal research. Through this workshop, we plan to bring researchers together to come up with frameworks and strategies that can later support other low-resource languages. We encourage researchers to submit their papers focusing on novel methodologies and resources that help towards the progress of Bangla and other low resource languages. Novel methodologies include, but are not limited to, zero-shot learning, unsupervised learning, and simple yet effective methods applicable to low-computation scenarios. We invite original research papers from a wide range of topics, including but not limited to: Natural Language Processing: Corpus and Resource Development, Language Modeling, Stemmer, POS Tagger, Named Entity Recognition, Relation Extraction, Spell and Grammar Checker, Question Answering, Semantics, Text Summarization, Machine Translation, Sentiment Analysis. Speech Processing: Speech Synthesis and Spoken Language Generation, Speech Recognition, Phonetics, Phonology, and Prosody, Spoken Dialog and Conversational System, Speaker and Language Detection. Multimodality: OCR - Handwriting, Printed Document, Sign Language Detection. Human Computer Interaction: Software for Disabled People, Multimodal HCI for Bangla. Important dates: Workshop paper due: 1 September 2023 Notification of acceptance: 6 October 2023 Camera-ready papers due: 18 October 2023 Workshop dates: 6-7 December 2023 All deadlines are 11:59pm anywhere on Earth (AoE). Submission Details: Papers must describe original, completed or in-progress, and unpublished work. All papers will be refereed through a double-blind peer review process by multiple reviewers with final acceptance decisions made by the workshop organizers. Accepted papers will be given up to 9 pages (for full papers), 5 pages (for short papers and posters) in the workshop proceedings, and will be presented as oral paper or poster. We are seeking submissions under the following category - Full papers (8 pages) - Short papers (work in progress, innovative ideas/proposals: 4 pages) - Shared task paper (4 pages) Both long and short papers must follow the EMNLP 2023 two-column format, using the supplied official templates [1]. The templates can be downloaded in style files and formatting. 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. Verification to guarantee conformance to publication standards, we will be using the ACL pubcheck tool [2]. The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. Submissions are open to all, and are to be submitted anonymously. For the anonymity, double-blind submission and reproducibility criteria please follow the EMNLP 2023 instructions [3]. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please fill up this form <https://forms.gle/1WUYQjWT9UuqioX48> [4]. Submission portal: TBA Workshop Organizers: Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar Sudipta Kar, Amazon Alexa AI, USA Shammur Absar Chowdhury, Qatar Computing Research Institute, HBKU, Qatar Farig Sadeque, BRAC University, Bangladesh Ruhul Amin, Fordham University, USA Asif Shahriyar Sushmit, Rensselaer Polytechnic Institute, USA [1] https://2023.emnlp.org/calls/style-and-formatting/ [2] https://github.com/acl-org/aclpubcheck [3] https://2023.emnlp.org/calls/main_conference_papers/ [4] https://forms.gle/1WUYQjWT9UuqioX48 The Organizers

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MULTI-Fake-DetectiVE @ EVALITA 2023
by Lucia Passaro 12 May '23

12 May '23

[Apologies for cross posting] ================================================== MULTI-Fake-DetectiVE @ EVALITA 2023 Final call for Participation Task website, news and updates: https://sites.google.com/unipi.it/multi-fake-detective Contacts: multifakedetective [at] gmail [dot] com ================================================== We invite you to participate in the FIRST shared task on Multimodal Fake News Detection in Italian (MULTI-Fake-DetectiVE). The shared task is aimed at broadening the horizon of research on disinformation in Italian by addressing both the textual and visual modalities. MULTI-Fake-DetectiVE proposes two subtasks. Participants are allowed to participate in either task or both of them. The evaluation window for both subtask is open until May 19! Test data available on the website. --------- Tasks --------- Task 1. Multimodal Fake News Detection The task is structured as a multi-class classification problem in a multimodal setting. Given a piece of content c = ⟨ t, v ⟩ including a textual component t and a visual component v (i.e., an image), classify it as being one of the following labels on a scale: Certainly Fake, Probably Fake, Probably Real, Certainly Real. Task 2. Cross-modal relations in Fake and Real News The task is aimed at assessing how the two modalities (i.e., textual and visual) relate to each other in the context of fake and real news. The task is formulated as a three-class classification problem. Given a piece of content c = ⟨ t, v ⟩ which includes a textual component t and a visual component v, decide whether their combination is misleading, not misleading in the interpretation of the information provided by either component, or the two are unrelated. ------- Data ------- The training and test datasets are available here: https://sites.google.com/unipi.it/multi-fake-detective/data ----------------------- Important Dates ----------------------- 12th - 19th May 2023: evaluation window (started) 30th May 2023: assessment returned to participants 14th June 2023: final reports due to task organizers 10th July 2023: review deadline 25th July 2023: camera ready deadline 7th - 8th September 2023: final workshop in Parma ----------------------- Task Organizers ----------------------- Alessandro Bondielli, Department of Computer Science, University of Pisa Pietro Dell'Oglio, Department of Information Engineering, University of Florence Alessandro Lenci, Department of Philology, Literature, and Linguistics, University of Pisa Francesco Marcelloni, Department of Information Engineering, University of Pisa Lucia Passaro, Department of Computer Science, University of Pisa Marco Sabbatini, Department of Philology, Literature, and Linguistics, University of Pisa

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PACLIC 2023 - Second Call for Papers
by emmanuelechersoni＠gmail.com 12 May '23

12 May '23

* The 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37) * * December 2-4, 2023 (deadline paper submission: July 16, 2023 AoE) * * The Hong Kong Polytechnic University, Hong Kong (China) * Conference website: https://paclic2023.github.io/ CONFERENCE OBJECTIVES Following the long tradition of PACLIC conferences, PACLIC 37 emphasizes the synergy of theoretical frameworks and processing of natural language, providing a forum for researchers from different fields to share and discuss progress in scientific studies, development and application of the topics related to the study of languages. TOPICS Topics include but are not limited to: - Language Studies o Clinical linguistics and language disorders o Corpus linguistics o Discourse Analysis o Language Acquisition o Language and Social Media o Language Learning o Language, Mind and Culture o Linguistic Theories o Morphology o Multilingualism o Phonology o Pragmatics o Semantics o Sociolinguistics o Spoken language processing o Syntax o Typology - Information Processing and Computational Applications o Cognitive modeling and psycholinguistics o Dialogue systems o Digital Humanities o Ethics in Natural Language Processing o Information retrieval/extraction o Interpretability of Natural Language Processing systems o Language models o Language resources o Linguistic diversity o Machine Learning and Natural Language Processing o Machine Translation o Multimodality o Natural Language Generation o Natural Language Processing applications o Sentiment Analysis o Summarization o Word segmentation PAPER SUBMISSION Papers may consist of up to eight (8) pages of content, plus references and appendices. Submissions will be judged based on relevance, technical strength, significance and opportunities, and interest to the attendees. As the reviewing will be double-blind, authors must not indicate their names and affiliations while submitting their papers. Papers must be submitted through the Easy Chair Conference System: https://easychair.org/cfp/PACLIC37. Accepted papers will be presented orally or as posters as determined by the PACLIC 37 program committee. Papers in the proceedings of PACLIC have been indexed in Scopus since PACLIC 19 (2005). They are also listed in the ACL Anthology. Double submissions with other conferences/workshops are allowed, but the authors are asked to declare it at submission time. SUBMISSION FORMAT The conference will only accept papers formatted according to the standard ACL templates (downloadable at: https://2023.aclweb.org/calls/style_and_formatting/). IMPORTANT DATES * Deadline of paper submission: July 16, 2023 (AoE) * Notification: September 10, 2023 Camera-ready: October 1, 2023 Early bird registration deadline: October 1, 2023 Conference: December 2-4, 2023 CONFERENCE ORGANIZERS (To be completed) Chu-Ren Huang (The Hong Kong Polytechnic University) Yasunari Harada (Waseda University) Jong-Bok Kim (Kyung Hee University) Emmanuele Chersoni (The Hong Kong Polytechnic University) Sophia Yat Mei Lee (The Hong Kong Polytechnic University) Sarah Chen (The Hong Kong Polytechnic University) Yu-Yin Hsu (The Hong Kong Polytechnic University) Pranav A (Dayta AI) Winnie Zeng (The Hong Kong Polytechnic University) Bo Peng (The Hong Kong Polytechnic University) Yuxi Li (The Hong Kong Polytechnic University) Junlin Li (The Hong Kong Polytechnic University) CONTACT paclic37(a)gmail.com

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AIRiAL 2023 Conference Call For Proposals
by Voss, Erik 12 May '23

12 May '23

*** Apologies for cross-posting *** Artificial Intelligence Research in Applied Linguistics (AIRiAL) Conference at Teachers College, Columbia University Theme The Future of Artificial Intelligence in Applied Linguistics Location Teachers College, Columbia University Dates September 29-30, 2023 CALL FOR PROPOSALS 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 Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL) <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/event…>. This conference is a forum for scholarly discussions on Artificial Intelligence research in Applied Linguistics (e.g., Natural Language Processing, Speech Technologies, Computer Vision, and Biometrics). Applied Linguistics is a broad field including scholarship about language analysis and how language is learned in order to achieve some purpose or solve some problem in the real world. It includes areas such as language acquisition, language assessment, language use, language & technology and other related sub-fields. We welcome abstracts exploring the relationship between Applied Linguistics and Artificial Intelligence that align with our conference theme. Research areas include, but are not limited to: - Affective computing - Automated scoring - Conversational AI - Intelligent tutoring - Immersive technologies - Language models - Multilingual ASR - AI literacy education - AI policy decisions - and other related topics Presentation Types Papers Formal presentations of completed research making original scholarly contributions. Presenters will have 15-minutes to discuss their papers, followed by 5 minutes for questions and comments from the audience. Posters Poster sessions provide an opportunity for the presentation of work visually. Poster topics can be works-in-progress and research that is being planned as well as completed projects. Presenters will discuss their posters with participants informally during a one-hour poster session. Proposal Evaluation Criteria Proposals will be evaluated on (1) Contribution to the field of AI in AL, (2) Quality of the proposal, and (3) Clarity of the abstract. Preparation and Submission of Proposals Please submit your abstract through this submission form <https://tccolumbia.qualtrics.com/jfe/form/SV_50jI0FuFAvt5xem>. Abstracts should be max. 250 words. Submission deadline: June 2, 2023 Notification date: June 30, 2023 Student Paper Award An award will be presented to the best student paper presentation at the conference. All authors on student papers must be actively-enrolled graduate students at the time of the conference. -- 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> *Latest Publications* Voss, E. (2022). Argument-based validation in the time of the COVID-19 pandemic <https://www.taylorfrancis.com/chapters/edit/10.4324/9781003221463-6/argumen…>. (Ch. 5) Routledge. Voss, E. (2023). Proctoring remote language assessments <https://www.routledge.com/Fundamental-Considerations-in-Technology-Mediated…>. (Ch. 12) Routledge.

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Large Language Model for Portuguese released --- Albertina PT-*
by Antonio Branco 12 May '23

12 May '23

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Doctoral student in NLP at Språkbanken, University of Gothenburg
by Elena Volodina 12 May '23

12 May '23

Dear all, (Apologies for cross-posting) We are looking for a PhD student in NLP to work with us in the project on automatic pseudonymization of Swedish research data (within project Grandma Karl<https://spraakbanken.gu.se/en/projects/mormor-karl>). Application deadline: June, 27, 2023. Earliest start of the position: October, 1, 2023. Announcement in English: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Announcement in Swedish: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Please, apply or forward to those who may be interested! ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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CfP - Linking Lexicographic and Language Learning Resources - 4LR workshop @ LDK 2023
by kris.heylen＠ivdnt.org 12 May '23

12 May '23

** apologies for cross-posting ** Linking Lexicographic and Language Learning Resources (4LR) Workshop at LDK 2023 – Call for Papers Workshop website: https://lexicala.com/4lr/ The workshop ‘Linking Lexicographic and Language Learning Resources’ (4LR) will be held in conjunction with LDK 2023 – 4th conference on Language, Data and Knowledge – (http://2023.ldk-conf.org/) at the University of Vienna, Austria, on September 13 (tentative), in hybrid mode. The aim of this workshop is to explore linguistic linked (open) data and knowledge management methods and technologies for linking lexicographic and language learning resources, tools and applications in general and dictionaries and CEFR lists in particular. Our starting point is, on the one hand, enhancing CEFR-graded language proficiency lists with lexicographic content and, on the other hand, incorporating CEFR labels in learner’s dictionaries. CEFR – the Common European Framework of Reference for Languages – is a generally established international standard for describing language proficiency, and CEFR-graded resources have been developed for many languages in Europe. However, incorporating their information is still not a common practice in modern lexicography for most languages, except for notably two English dictionaries for advanced learners (Cambridge and Oxford). There are substantial unsolved issues, such as inconsistencies in vocabulary size per level between languages; no, or limited, sense disambiguation in CEFR resources; words from a higher CEFR level in definitions and example sentences. Moreover, there has been limited collaboration and interoperability so far among the related fields of lexicography, language acquisition, and linguistic linked data, whether regarding research, development, or practical application. 4LR will feature an overview by the organizers, as well as an invited talk by Jorge Gracia from University of Zaragoza and chair of NexusLinguarum CA on Linked Data for Lexicographic Resources. In addition, we invite submissions for papers (20 minutes, plus discussion) on the following topics: • Linking lexicographic content to CEFR-graded vocabularies • Pedagogical lexicography and knowledge graphs • Attributing CEFR labels in learner’s dictionaries • Incorporating vocabulary and grammar profiles in lexicographic resources • Creating and linking crosslingual concept-based CEFR resources • Multilingual knowledge management and language learning applications and tools SUBMISSION AND DATES Please submit your abstract including 300-500 words via EasyChair [https://easychair.org/conferences/?conf=4lr2023]. 19 May 2023 Deadline for abstract submission 29 May 2023 Deadline for notification for abstract submission 30 June 2023 Deadline for camera-ready paper submission 13 Sep 2023 (tentative) 4LR workshop 14–15 Sep LDK 2023 conference ORGANIZERS AND CONTACT Kris Heylen. Dutch Language Institute (Kris DOT Heylen AT ivdnt DOT org) Jelena Kallas. Institute of the Estonian Language Ilan Kernerman. Lexicala by K Dictionaries Carole Tiberius. Dutch Language Institute Website: https://lexicala.com/4lr/ 4LR is supported by NexusLinguarum COST Action (CA18209) – European network for Web-centered linguistic data science. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 4LR workshop at LDK 2023 will follow a related workshop ‘Lexicography and CEFR: Linking Lexicographic Resources and Language Proficiency Levels’ that will be held in conjunction with eLex 2023 on June 29 in Brno, Czech Republic.

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Call for Participation in Clinkart@EVALITA2023
by Begoña Altuna 12 May '23

12 May '23

[apologies for cross-posting] Call for Participation in Clinkart@EVALITA2023 Linking a Lab Result to its Test Event in the Clinical Domain ***SYSTEM SUBMISSION DEADLINE: MAY 19, 2023*** We invite you to participate in the Clinkart task on the extraction of relations from clinical cases. Clinkart is organised in the context of Evalita 2023 and the task mainly consists in identifying test results and measurements and linking them to the textual mentions of the laboratory tests and measurements from which they were obtained, as in the example below: All’ECG RS 66 bpm, deviazione assiale sinistra, BBD incompleto. 66 bpm → RS Check the website for more detailed information and for downloading the data: https://e3c.fbk.eu/clinkart. Participants are invited to submit their results by May 19th (by email to clinkart[at]fbk.eu). Each team is allowed to submit up to 2 different runs. Assessment of the results will be returned to the participants by May 30th. The evaluation dataset is based on the European Clinical Case Corpus (E3C), which consists of clinical cases in five European languages and is freely available (CC-BY-NC-4.0). Participants are encouraged to also use the data of the TESTLINK task (which focuses on Spanish and Basque) to train their systems (TESTLINK website: https://e3c.fbk.eu/testlinkiberlef). Join us! The Clinkart organising team

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IEEE BigData 2023
by Tsuyoshi Okita 12 May '23

12 May '23

#Sorry for the multiple posts ======================================================================== Call for Papers 2023 IEEE International Conference on Big Data (IEEE BigData 2023) http://bigdataieee.org/BigData2023/ December 15-18, 2023 – Sorrento, Italy ======================================================================== In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. •The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate is 17.0%. •The IEEE Big Data 2020 (http://bigdataieee.org/BigData2020/, regular paper acceptance rate: 15.7%) was held online, Dec 10-13, 2020 with close to 1100 registered participants from 50 countries •The IEEE Big Data 2021 (http://bigdataieee.org/BigData2021/, regular paper acceptance rate: 19.9%) was held online, Dec 15-18, 2021 with close to 1089 registered participants from 52 countries •The IEEE Big Data 2022 (http://bigdataieee.org/BigData2022/, regular paper acceptance rate: 19.2%) was held in Osaka, Japan, Dec 17-20, 2022 with close to 1250 registered participants from 54 countries. The 2023 IEEE International Conference on Big Data (IEEE BigData 2023) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Osaka, Japan this year. Example topics of interest includes but is not limited to the following: 1.Big Data Science and Foundations a.Novel Theoretical Models for Big Data b.New Computational Models for Big Data c.Data and Information Quality for Big Data d.New Data Standards 2.Big Data Infrastructure a.Cloud/Grid/Stream Computing for Big Data b.High Performance/Parallel Computing Platforms for Big Data c.Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment d.Energy-efficient Computing for Big Data e.Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data f.Software Techniques and Architectures in Cloud/Grid/Stream Computing g.Big Data Open Platforms h.New Programming Models for Big Data beyond Hadoop/MapReduce, STORM i.Software Systems to Support Big Data Computing 3.Big Data Management a.Data Acquisition, Integration, Cleaning, and Best Practices b.Computational Modeling and Data Integration c.Large-scale Recommendation Systems and Social Media Systems d.Cloud/Grid/Stream Data Mining- Big Velocity Data e.Mobility and Big Data f.Multimedia and Multi-structured Data- Big Variety Data g.Compliance and Governance for Big Data 4.Big Data Search and Mining a.Social Web Search and Mining b.Web Search c.Algorithms and Systems for Big Data Search d.Distributed, and Peer-to-peer Search e.Big Data Search Architectures, Scalability and Efficiency f.Link and Graph Mining g.Semantic-based Data Mining and Data Pre-processing h.Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data 5.Big Data Learning and Analytics a.Predictive analytics on Big Data b.Machine learning algorithms for Big Data c.Deep learning for Big Data d.Feature representation learning for Big Data e.Dimension reduction for Big Data f.Physics informed Big Data learning g.Visualization Analytics for Big Data 6.Data Ecosystem a.Data ecosystem concepts, theory, structure, and process b.Ecosystem services and management c.Methods for data exchange, monetization, and pricing d.Trust, resilience, privacy, and security issues e.Privacy preserving Big Data collection/analytics f.Trust management in Big Data systems g.Ecosystem assessment, valuation, and sustainability h.Experimental studies of fairness, diversity, accountability, and transparency 7.Big Data Applications a.Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication b.Big Data Analytics in Small Business Enterprises (SMEs), c.Big Data Analytics in Government, Public Sector and Society in General d.Real-life Case Studies of Value Creation through Big Data Analytics e.Big Data as a Service f.Big Data Industry Standards g.Experiences with Big Data Project Deployments INDUSTRIAL & Government Track ------------------------------ The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages). The Government Track welcomes papers discussing the usefulness and need for publicly-contribution big data and open data and their use. Specifically, data utilization scenarios, needs analysis, data utilization obstacle analysis and solutions, data integration processes, interfaces as data utilization solutions, visualization, use cases, evidence-based policy making, building an ecosystem for solving social issues, analyzing their cases, comparing international and regional differences, and conducting comparative surveys before and after specific events (like Covid-19). We are also looking for other big data solutions related to national and local governments, and public services. Please submit an extended abstract (2-4 pages) OR a full-length paper (up to 10 pages) through the online submission page (Industrial & Government Track dedicated page) Paper Submission: ----------------- Please submit a full-length paper (up to 10 page IEEE 2-column format, reference pages counted in the 10 pages) through the online submission system. https://wi-lab.com/cyberchair/2023/bigdata23/index.php Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). https://www.ieee.org/conferences/publishing/templates.html Important Dates: ---------------- - Electronic submission of full papers: Sept 3, 2023 - Notification of paper acceptance: Oct 27, 2023 - Camera-ready of accepted papers: Nov 17, 2023 - Conference: Dec 15-18, 2023 ======================================================================== Tsuyoshi Okita Kyushu Institute of Technology AI department

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2025

2024

2023

2022

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