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Second Call for Papers: OSACT 2024 workshop@LREC-COLING 2024
by m.zakiali80＠gmail.com 29 Jan '24

29 Jan '24

********************************************************************************* Second Call for Papers: The 6th workshop on: "Open-Source Arabic Corpora and Processing Tools (OSACT6) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation" Workshop: co-located with LREC-COLING 2024 | Torino (Italia) | 20-25 May, 2024 The OSACT6 Workshop invites the submission of long and short papers on current language resources, tools and technologies and Issues in the design, construction and use of Arabic language resources. In addition to the general topics of CL, NLP and IR, the workshop will give a special emphasis on two shared tasks, namely: Arabic LLMs Hallucination and Dialect to MSA Machine Translation. Website: https://osact-lrec.github.io/ Shared Tasks: Task 1: Arabic LLMs Hallucination Task 2: Dialect to MSA Machine Translation Important dates: Submission deadline: Feb 25, 2024 Paper acceptance notification: March 25, 2024 Camera-ready versions: March 30, 2024 OSACT 2024 day: May 25, 2024 LREC-COLING 2024 conference: 20–25 May 2024 Don’t miss this opportunity to contribute to a pioneering field! *********************************************************************************** OSACT6 workshop encourages researchers and practitioners of Arabic language technologies, including CL, NLP and IR to share and discuss their latest research efforts, corpora, and tools. The workshop will also give special attention to Large Language Models (LLMs) and Generative AI, which is a hot topic nowadays. In addition to the general topics of CL, NLP and IR, the workshop will give a special emphasis on two shared tasks, namely: Arabic LLMs Hallucination and Dialect to MSA Machine Translation. We are inviting papers on topics including, but not limited to, the following topics: Pre-trained Arabic language models and their applications. Surveying and evaluating the design of available Arabic corpora, their associated and processing tools. Availing new annotated corpora for NLP and IR applications such as named entity recognition, machine translation, sentiment analysis, text classification, and language learning. Evaluating the use of crowdsourcing platforms for Arabic data annotation. Open source Arabic processing toolkits. Language modeling and pre-trained models. Tokenization, normalization, word segmentation, morphological analysis, part-of-speech tagging, etc. Sentiment analysis, dialect identification, and text classification. Dialect translation. Fake news detection. Web and social media search and analytics. Issues in the design, construction, and use of Arabic LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data. Guidelines, standards, best practices, and models for LRs interoperability. Methodologies and tools for LRs construction and annotation. Methodologies and tools for extraction and acquisition of knowledge Guidelines, standards, best practices and models for LRs interoperability. Methodologies and tools for LRs construction and annotation. Methodologies and tools for extraction and acquisition of knowledge. Ontologies, terminology and knowledge representation. LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.). Submissions for both short and long papers will be made directly via START, following submission guidelines issued by LREC-COLING 2024. Paper submission instructions: https://lrec-coling-2024.org/authors-kit/ Paper submission: https://softconf.com/lrec-coling2024/osact2024/ For full submission details please refer to our workshop website here. Contact email: OSACT.W...(a)gmail.com The OSACT 2024 Organizing Committee Hend Al-Khalifa, King Saud University, KSA; Hamdy Mubarak, Qatar Computing Research Institute, Qatar; Kareem Darwish, aiXplain Inc., US; Tamer Elsayed, Qatar University, Qatar; Mona Ali, Northeastern University, Canada Looking forward to your participation and to seeing you in LERC-COLING in May 2024! ************************************************************************************

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Deadline extended: BIR@ECIR2024 - 14th International Workshop on Bibliometric-enhanced Information Retrieval
by Ingo Frommholz 28 Jan '24

28 Jan '24

* Deadline extended to February 2, 2024 * You are invited to submit your contribution to the 14th international workshop on Bibliometric-enhanced Information Retrieval (BIR 2024), to be held as part of the 46th European Conference on Information Retrieval (ECIR 2024, https://www.ecir2024.org/) in Glasgow, Scotland. https://sites.google.com/view/bir-ws/bir-2024 The workshop is planned as an onsite event. We encourage all speakers to join us in Glasgow (UK). === Important Dates === All dates are in Anywhere on Earth – AoE Time Zone - Submissions: 2 February 2024 - Notifications: 19 February 2024 - Camera Ready Contributions: 3 March 2024 - Workshop: 24 March 2024 === tl;dr === The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR tackles issues related to academic search, at the intersection between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia and industry (e.g., Dimensions, Lens, Google Scholar, scite.ai, Semantic Scholar). The BIR workshop at ECIR is a full-day workshop. An overview of the BIR/BIRNDL workshop series can be found at: https://sites.google.com/view/bir-ws/home. Past BIR proceedings are available online at https://dblp.org/search?q=BIR.ECIR as open access. === Keywords === Academic Search • Information Retrieval • Digital Libraries • Bibliometrics • Scientometrics === Workshop Topics === During BIR 2024, we address, but are not limited to, the following current research topics regarding 4 aspects of the academic search and recommendation process: User needs and behaviour regarding scientific information, such as: Finding relevant papers/authors for a literature review. Identifying expert reviewers for a given submission. Understanding information-seeking behaviour and HCI in academic search. Filtering high-quality research papers, e.g., in preprint servers. Measuring the degree of plagiarism in a paper. Flagging predatory conferences and journals, or other forms of scientific misbehaviour. Mining the scientific literature, such as: Information extraction, text mining and parsing of scholarly literature. Natural language processing of scientific papers (e.g., citation contexts). Discourse modelling and argument mining. Academic search/recommendation systems, such as: Modelling the multifaceted nature of scientific information. Building test collections for reproducible BIR. System support for literature search and recommendation. Computational methods for systematic reviewing. Generative AI and Large Language Models with bibliometric-enhanced IR, such as: Retrieval-augmented LLMs for academic search and recommendation. LM-enhanced retrieval and recommendation in scholarly settings. Challenges with generative LLMs for scholarly texts and references. We especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome. === Submission Details === All submissions must be written in English following the CEURART 1-column paper style (6 pages (short paper), 12 pages (full paper)/, please see below) and should be submitted as PDF files to EasyChair. All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program. CEURART (incl. LaTeX and Word templates) https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-styl… Submission via EasyChair: https://easychair.org/conferences/?conf=bir2024 Page limits: Full paper: 12 pages excluding references Short paper: 6 pages excluding references Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - this way the proceedings will be permanently available and citable (digital persistent identifiers and long-term preservation). === Workshop Chairs === Ingo Frommholz, University of Wolverhampton, UK Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany Guillaume Cabanac, University of Toulouse, France Suzan Verberne, Leiden University, the Netherlands For any enquiries please email bir2024(a)easychair.org. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Two PhD Studentships in Language and Speech Processing at Aston University, Birmingham, UK
by Tharindu Ranasinghe 28 Jan '24

28 Jan '24

School of Computer Science and Digital Technologies, Aston University, UK, is offering two PhD positions in language and speech processing in the following two topics. The application deadline is 16th February 2024. Applications for the position can be submitted via Aston's PGR webpage (https://www.aston.ac.uk/graduate-school/how-to-apply/studentships). Enquiries about the positions can be made to Dr Tharindu Ranasinghe, School of Computer Science and Digital Technologies, Aston University, UK - t.ranasinghe(a)aston.ac.uk . Building Trustworthy Automatic Speech Recognition Systems Dr Tharindu Ranasinghe<https://research.aston.ac.uk/en/persons/tharindu-ranasinghe> (School of Computer Science and Digital Technologies - Applied AI & Robotics Department) Dr <https://research.aston.ac.uk/en/persons/tharindu-ranasinghe> Phil Weber<https://research.aston.ac.uk/en/persons/phil-weber> (Aston Centre for Artificial Intelligence Research and Application – ACAIRA, School of Computer Science and Digital Technologies - Applied AI & Robotics Department) Prof Aniko Ekart<https://research.aston.ac.uk/en/persons/aniko-ek%C3%A1rt> (Aston Centre for Artificial Intelligence Research and Application – ACAIRA, School of Computer Science and Digital Technologies - Applied AI & Robotics Department) Dr Muhidin Mohamed<https://research.aston.ac.uk/en/persons/muhidin-mohamed> (College of Business and Social Sciences - Operations & Information Management) Project Summary, Aim and Objectives: Automatic Speech Recognition (ASR) has gained popularity in the last decade thanks to advancements in speech and natural language processing, along with the availability of powerful hardware for processing extensive data streams. ASR is crucial in transcription services for various sectors, including legal, healthcare, and entertainment. It also plays a vital role in e-learning platforms, customer support systems, and enhancing accessibility for individuals with disabilities. Additionally, ASR significantly contributes to language translation, making it widely adopted across diverse sectors. Although ASR has come a long way in recent years, it still has limitations, and the produced output is far from perfect. However, most commercial ASR systems do not explicitly state this to the user, leaving the user to assume that the output is accurate. Most large-scale ASR systems perform better for widely spoken languages, while low-resource languages have lower quality. ASR systems also struggle to handle different accents and dialects, especially of non-native speakers. Furthermore, most ASR systems are trained in the general domain and do not perform optimally in specific domains such as healthcare. These limitations result in wrong outputs, and the lack of transparency and accountability can lead to severe consequences, especially in critical domains such as healthcare or legal. Therefore, a quality indicator for ASR systems has become essential as they can play a significant role in informing the user about the output quality. This PhD research aims to develop a comprehensive quality indicator system for ASR. The specific goals are (1) Investigate what makes ASR trustworthy (2) Evaluate ASR systems in challenging scenarios (3) Design quality indicator metrics in ASR (i.e. sentence level scores, word level error spans, critical errors, etc.) (4) Introduce public benchmarks and investigate novel approaches for predicting quality in ASR. The output of the PhD will contribute towards trustworthy ASR systems.. Knowledge and skills required in applicant: Natural Language Processing, Speech Processing, Machine Learning and Deep Learning. The applicant should be familiar with Python and neural network framework(s) such as PyTorch and TensorFlow and should have excellent programming skills. Evidence-based detection of misuse of large language models Dr<https://research.aston.ac.uk/en/persons/tharindu-ranasinghe> Phil Weber<https://research.aston.ac.uk/en/persons/phil-weber> (Aston Centre for Artificial Intelligence Research and Application – ACAIRA, School of Computer Science and Digital Technologies - Applied AI & Robotics Department) Dr Tharindu Ranasinghe<https://research.aston.ac.uk/en/persons/tharindu-ranasinghe> (School of Computer Science and Digital Technologies - Applied AI & Robotics Department) Dr Muhidin Mohamed<https://research.aston.ac.uk/en/persons/muhidin-mohamed> (College of Business and Social Sciences - Operations & Information Management) Dr Paul Grace<https://research.aston.ac.uk/en/persons/paul-grace> (Cyber Security Innovation Research Centre – CSI, School of Computer Science and Digital Technologies - School of Computer Science and Digital Technologies) Project Summary, Aim and Objectives: Large language models (LLMs) have become ubiquitous since the release of ChatGPT, bringing a paradigm shift in the processing and generation of text, images, speech and video. New methods for training very large neural models using massive unlabelled data created the opportunity for foundation models able to generate data with apparently human-like ability. Publicly available pre-trained models facilitate novel tools; Google Gemini, Microsoft Co-Pilot, Dall-E and many start-ups allow non-experts to conversationally instruct and use AI systems in everyday life, seamlessly employing complex technologies including automatic speech recognition, natural language processing, machine translation and image captioning. New dangers accompany this rapid and unstructured step-change in technology. Beyond unease over energy use, environmental impact, and digital divides, many are concerned with the ease with which fake media increasingly difficult to distinguish from real media can be created. In education, plagiarism detection becomes more nuanced with the need to identify AI-generated text. In the justice domain, forensic determination of the source of a voice or face is obfuscated by the potential that it was artificially generated. Politicians worry about the impact on democracy of undetectable deepfakes, and cybersecurity experts about identity theft. The problems are exacerbated by the potential for LLM-generated data to be reused for training downstream models. Scientifically well-founded methods for detecting and quantifying the risk of LLM-generated media are therefore urgently needed. This project builds on established methods in forensic data analysis to develop rigorous methods for detecting AI-generated media. Specifically: 1) review existing approaches to detecting AI-generated and spoofed media, 2) build on methods for forensic voice comparison to develop and validate new approaches to forensic text comparison, 3) apply to detecting plagiarism and deep fakes, 4) extend to image data, 4) propose principles to contribute to broader questions of safe, fair and transparent use of LLMs. Knowledge and skills required in applicant: Strong programming skills, preferably in Python, including development of large language models. Knowledge of machine learning theory, applications, and related statistical and probability theory. Awareness of modern approaches to forensic data science.

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Multiple Teaching Track Positions at the University of Maryland (UMD) in College Park, Maryland USA
by jbg＠umiacs.umd.edu 27 Jan '24

27 Jan '24

Dear Colleagues, We at the University have eight openings for professional teaching faculty at the University of Maryland at all levels of seniority. The minimum requirement is a MS degree (although PhD is a plus), and one of the degrees needs to be in CS or a related field (computational linguistics, information science, etc. all count). All areas are needed, including computational linguistics and data science (and I'd particularly want to see those kinds of applications!). You'd be teaching courses at all levels of the curriculum: from introductory courses to courses around your research specialty to supervising undergraduate research or collaborating with the faculty at the University of Maryland. We're located just outside Washington, DC, an exceedingly international city. Please consider applying here or forwarding to your colleagues: https://ejobs.umd.edu/postings/116061 The best consideration date is 02/03/2024. Best, Jordan

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Second Call for Papers: RaPID-5@LREC-COLING 2024
by Dimitrios Kokkinakis 27 Jan '24

27 Jan '24

*********************************************************************************** Second Call for Papers: The 5th workshop on: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" Workshop: co-located with LREC-COLING 2024 | Turin, Italy | May 21st, 2024 RaPID-5 serves as an interdisciplinary platform for researchers to exchange insights, methods, and experiences related to collecting and processing data from individuals with mental, cognitive, neuropsychiatric, or neurodegenerative impairments. The workshop focuses on creating, processing, and applying such data resources from individuals at different stages and severity levels of these impairments. The ultimate goal of RaPID-5 is to facilitate the study of relationships among linguistic, paralinguistic, and extra-linguistic observations, with applications ranging from aiding diagnosis to enhancing monitoring and predicting individuals at higher risk, ultimately promoting multidisciplinary collaboration across clinical, language technology, computational linguistics, and computer science communities. Submission deadline: Sun., 17th of March, 2024 (anywhere on earth - new date!) Paper submission: https://softconf.com/lrec-coling2024/rapid2024/ Website and more details: https://spraakbanken.gu.se/en/rapid-2024 Contact: Dimitrios Kokkinakis Contact email: dimitrios.kokkinakis(a)gu.se<mailto:dimitrios.kokkinakis@gu.se> Invited Speakers: * Dr. Alexandra König, BSc MSc PhD, Institut national de recherche en informatique et en automatique (INRIA); Cobtek (Cognition; Behaviour; Technology) Lab; University Côte d'Azur, France * Prof. Maria Liakata, EPSRC/UKRI Turing Institute AI fellow, Queen Mary University of London, UK Organizing committee: * Kathleen C. Fraser, National Research Council, Canada; * Dimitrios Kokkinakis, University of Gothenburg, Sweden; * Kristina Lundholm Fors, Lund University, Sweden; * Charalambos K. Themistocleous, University of Oslo, Norway; * Athanasios Tsanas, The University of Edinburgh, UK; * Fredrik Öhman, University of Gothenburg and Sahlgrenska University Hospital, Sweden ************************************************************************************

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CAiSE'24 Forum: Third Call for Papers and Tool Demonstrations
by Announce 27 Jan '24

27 Jan '24

*** CAiSE'24 Forum: Third Call for Papers and Tool Demonstrations *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 4th March, 2024 AoE ***) The CAiSE Forum is a space within the CAiSE conference to present and discuss the new exciting ideas and tools related to Information Systems Engineering. The Forum intends to serve as an interactive platform, encourage potential authors to present emerging topics and controversial positions, and demonstrate innovative systems, tools, and applications. The Forum sessions at the CAiSE conference will facilitate the interaction, discussion, and exchange of ideas among presenters and participants. Contributions to the CAiSE'24 Forum are welcome to address any of the CAiSE'24 conference topics and, particularly, this year's theme—Information Systems in the Age of Artificial Intelligence. We invite two types of submissions: • Visionary papers present innovative research projects, which are still at a relatively early stage and do not necessarily include a full-scale validation. Visionary papers will be presented as posters in the Forum. • Demo papers describe innovative tools and prototypes that implement the results of research efforts. The tools and prototypes will be presented as demos in the Forum, accompanied by a poster. Both visionary papers and demo papers must not exceed 8 pages in LNCS format. See authors' guidelines at the Springer site: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… . Papers should be submitted in PDF format through the conference management system available at Easy Chair (https://easychair.org/my/conference?conf=caise2024) and select the Forum option. The submitted papers must be unpublished and must not be under review elsewhere. PUBLICATION AND PRESENTATIONS Accepted papers will be published by Springer in a CAISE Forum proceedings volume within the Lecture Notes in Business Information Processing (LNBIP) series (https://www.springer.com/series/7911). Authors should consult Springer's authors guidelines and use their LaTeX or Word proceedings templates for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. It is expected that at least one of the authors attends CAiSE'24, presents the poster/delivers the demo, and interacts with the Forum participants. We also envision a short oral presentation for all papers to attract participants to the posters. IMPORTANT DATES • Paper Submission Deadline: 4th March, 2024 (AoE) • Notification of Acceptance: 1st April, 2024 • Camera-ready Deadline: 8th April, 2024 • Author Registration Deadline: 8th April, 2024 FORUM CHAIRS • Shareeful Islam, Anglia Ruskin University, United Kingdom • Arnon Sturm, Ben-Gurion University of the Negev, Israel FORUM COMMITTEE • Steven Alter, University of San Francisco • Abel Armas Cervantes, The University of Melbourne • Giuseppe Berio, Université de Bretagne Sud and IRISA UMR 6074 • Drazen Brdjanin, University of Banja Luka • Corentin Burnay, University of Namur • Cinzia Cappiello, Politecnico di Milano • Suphamit Chittayasothorn, King Mongkut's Institute of Technology Ladkrabang • Maya Daneva, University of Twente • Sergio de Cesare, University of Westminster • Johannes De Smedt, KU Leuven • Marne de Vries, University of Pretoria • Michael Fellmann, University of Rostock • Christophe Feltus, Luxembourg Institute of Science and Technology • Hans-Georg Fill, University of Fribourg • Janis Grabis, Riga Technical University • Sergio Guerreiro, INESC-ID / Instituto Superior Técnico • Martin Henkel, Stockholm University • Jennifer Horkoff, Chalmers University of Technology • Shareeful Islam, Anglia Ruskin University • Janis Kampars, RTU • Evangelia Kavakli, University of the Aegean • Marite Kirikova, Riga Technical University • Janne J. Korhonen, Aalto University • Elena Kornyshova, CNAM • Agnes Koschmider, University of Bayreuth • Chung Lawrence, University of Texas at Dallas • Henrik Leopold, Kühne Logistics University • Tong Li, Beijing University of Technology • Beatriz Marín, Universidad Politecnica de Valencia • Andrea Marrella, Sapienza University of Rome • Raimundas Matulevicius, University of Tartu • Jose Ignacio Panach Navarrete, Universitat de València • Oscar Pastor, Universidad Politécnica de Valencia • Francisca Pérez, Universidad San Jorge • Pierluigi Plebani, Politecnico di Milano • Manuel Resinas, University of Seville • Genaina Rodrigues, University of Brasilia • Ben Roelens , Open Universiteit, Ghent University • Mattia Salnitri, Politecnico di Milano • Stefan Strecker, University of Hagen • Arnon Sturm, Ben-Gurion University of the Negev • Irene Vanderfeesten, Katholieke Universiteit Leuven • Yves Wautelet, Katholieke Universiteit Leuven • Hans Weigand, Tilburg University • Manuel Wimmer, Johannes Kepler University Linz • Anna Zamansky, University of Haifa

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Call for Papers on Evolutionary, Typological, and Cognitive Dimensions of Word Families
by Johann-Mattis List 26 Jan '24

26 Jan '24

Dear all, We will organize a focus stream at the International Congress of Linguists**that will take place from 8 to 14 September 2024 in Poznań. Our focus stream concentrates on word families and lexical compositionality, and we invite all kinds of papers that focus on any aspect of word families that has something to do with their evolution, their typology, or their interaction with human cognition. The deadline has been extended until 1st of February. If you are interested in submitting an abstract, please do so. Through our ERC grant, it may even be possible to provide funding for travel in limited form (on a competitive basis). If this is interesting for you, please get directly in touch with us. Information on abstract submission can be found on the website of the conference: https://icl2024poznan.pl/ Please indicate our focus stream "Productive Signs" (number 10) if you want to submit for this event. Sincerely, Mattis List -- Prof. Dr. Johann-Mattis List Chair of Multilingual Computational Linguistics University of Passau Dr.-Hans-Kapfinger-Str. 16 04032 Passau Germany Chair Website:https://phil.uni-passau.de/multilinguale-computerlinguistik/ Personal Website:https://lingulist.de Telephone: +49(0)851/509-3480

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NLP4HR@EACL 2024: Call for Presentations of EACL Findings Papers
by Naoki Otani 26 Jan '24

26 Jan '24

We invite authors of accepted EACL Findings papers to present their work at the NLP for Human Resources (NLP4HR) workshop, scheduled for March 22nd in St. Julians, Malta. Application form: https://forms.gle/SX4fdxSnTEGjuxVq6 Deadline: February 1st 2024, 11:59 pm AoE The NLP4HR workshop is centered around various aspects of applying NLP techniques in the HR domain, including but not limited to: - Knowledge acquisition and reasoning in the HR domain - Parsing, extracting, or inferring information from HR documents - Learning representations for HR entities - Search and recommendation systems tailored to HR - Dialogue-based HR assistants - Language generation for HR purposes (e.g., generating a job description) - QA systems for HR-related queries - Fairness and bias in HR applications For more details, visit the workshop website at https://megagon.ai/nlp4hr-2024/ NLP4HR 2024 Organizing Committee - Estevam Hruschka, Megagon Labs, USA - Thom Lake, Indeed, USA - Naoki Otani, Megagon Labs, USA - Tom Mitchell, Carnegie Mellon University, USA Contact: nlp4hr-workshop(a)megagon.ai -- Naoki Otani Megagon Labs - Mountain View, CA, USA naoki(a)megagon.ai

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CFP: SIGIR 2024 Industry Track (SIRIP), 14-18 July 2024, Washington D.C.
by Edgar Meij 26 Jan '24

26 Jan '24

The SIGIR Symposium on IR in Practice (SIRIP) 2024 will be held as part of ACM SIGIR 2024, onsite (in Washington DC, USA). We aim to provide an opportunity for researchers, engineers, practitioners, analysts and consumers to meet and discuss the latest and greatest Information Retrieval (IR) technologies as deployed in companies, big and small, and to be the premier forum for knowledge sharing across the boundary between academia and industry. The annual SIGIR conference is the major international forum for the presentation of new research results, and the demonstration of new systems and techniques, in the broad field of information retrieval (IR). The 47th ACM SIGIR conference, will be run as an in-person conference from July 14th to 18th, 2024 in Washington D.C., USA. Important Dates for SIRIP Papers (Time zone: Anywhere on Earth (AoE)) - SIRIP Proposal abstract due: Feb 21, 2024 - SIRIP Proposal due: Feb 28, 2024 - SIRIP Notifications: April 10, 2024 - SIRIP Camera ready: April 24, 2024 - SIRIP Days: TBD, 2024 We solicit position papers, talk proposals, and panel proposals for SIRIP in the following categories: - Open problems and challenges in industry, from industry research to production - Presentations creating a connection with academia to solve interesting problems, including presentations from academics spending time in industry, or vice-versa, covering insights for other practitioners - Novel applications of IR/Recsys/NLP/Multimodal learning systems, and complex user interaction modeling in real-world situations - Innovative approaches used in deployed systems and products. We also encourage presentations from small companies, especially startups or spin-offs from either a university project or a large company. Papers discussing domain specific challenges are also welcome. - Position papers on the current and future state of IR in practice, and the role IR could play in shaping the next generation of information access systems. - Building IR systems with an emphasis on trust and safety: Combating misinformation spread; Building privacy preserving retrieval systems; Algorithmic responsibility & fairness. - Role of search & IR in the creator economy (e.g. short video platforms, audio platforms) & marketplaces (e.g. delivery services, hospitality industry, crowdfunding platforms, retail platforms, rentals) - System design case-studies from industry practitioners, identifying best practices and design principles for learning systems - Metrics and measurement techniques used at scale to understand performance of industrial systems. Success in achieving offline/online evaluation consistency - Best practices and successful applications in combining LLM and IR in new or existing products. Submission Presentation proposals should be 2-4 pages (excluding references) and follow the ACM format. Any appendices will be counted towards the page limit. Formatting guidelines are available at this ACM publication site (use the “sigconf” proceedings template). Please include: - Title, abstract, main body of proposal. - All author names and a short bio of the main presenter (~100 words, which will NOT count towards the page limit) - Please do NOT submit a sales pitch We also solicit panel discussion proposals in the above categories. Panel proposals should be 1-2 pages and include: - Panel title, description, proposed moderator (with a short CV), topics of discussion, and profiles of proposed panelists. - We strongly encourage a diverse slate of candidates for panelists and moderators. Proposals should be submitted electronically via Easy Chair: https://easychair.org/conferences?conf=sigir24 Presentation and Publication The presentation format of the Symposium will be decided based on submissions and interest to the wider community, and is likely to be a mix of short and long presentations as well as panels. A condition of acceptance is that at least one author commits to registering and attending SIRIP 2024 (in-person) to present the work. The authors of accepted proposals will be invited to submit a camera ready copy to be included in the proceedings. SIRIP Chairs - Edgar Meij (Bloomberg) - Tao Ye (Amazon) For any questions, you may contact the Chairs by emailing sigir24-sirip(a)easychair.org https://sigir-2024.github.io/call_for_SIRIP.html

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3rd CfP 5th workshop on Resources for African Indigenous Language (RAIL) @ LREC-COLING
by Menno Van Zaanen 26 Jan '24

26 Jan '24

The fifth workshop on Resources for African Indigenous Language (RAIL) Colocated with LREC-COLING 2024 https://bit.ly/rail2024 New: deadline and article submission type Conference dates: 20-25 May 2024 Workshop date: 25 May 2024 Venue: Lingotto Conference Centre, Torino (Italy) The fifth RAIL workshop website: https://bit.ly/rail2024 LREC-COLING 2024 website: https://lrec-coling-2024.org/ Submission website: https://softconf.com/lrec-coling2024/rail2024/ The fifth Resources for African Indigenous Languages (RAIL) workshop will be co-located with LREC-COLING 2024 in Lingotto Conference Centre, Torino, Italy on 25 May 2024. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. Many African languages are under-resourced while only a few of them are somewhat better resourced. These languages often share interesting properties such as writing systems, or tone, making them different from most high-resourced languages. From a computational perspective, these languages lack enough corpora to undertake high level development of Human Language Technologies (HLT) and Natural Language Processing (NLP) tools, which in turn impedes the development of African languages in these areas. During previous workshops, it has become clear that the problems and solutions presented are not only applicable to African languages but are also relevant to many other low-resource languages. Because these languages share similar challenges, this workshop provides researchers with opportunities to work collaboratively on issues of language resource development and learn from each other. The RAIL workshop has several aims. First, the workshop brings together researchers who work on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop has “Creating resources for less-resourced languages” as its theme, but submissions on any topic related to properties of African indigenous languages (including non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, may consist of up to eight (8) pages of content for a long submission and up to four (4) pages of content for a short submission plus additional pages of references. The final camera-ready version of accepted long papers are allowed one additional page of content (up to 9 pages) so that reviewers’ feedback can be incorporated. Papers should be formatted according to the LREC-COLING style sheet (https://lrec-coling-2024.org/authors-kit/), which is provided on the LREC-COLING 2024 website (https://lrec-coling-2024.org/). Reviewing is double-blind, so make sure to anonymise your submission (e.g., do not provide author names, affiliations, project names, etc.) Limit the amount of self citations (anonymised citations should not be used). The RAIL workshop follows the LREC-COLING submission requirements. Please submit papers in PDF format to the START account (https://softconf.com/lrec-coling2024/rail2024/). Accepted papers will be published in proceedings linked to the LREC-COLING conference. Important dates: Submission deadline: 23 February 2024 Date of notification: 15 March 2024 Camera ready deadline: 29 March 2024 RAIL workshop: 25 May 2024 Organising Committee Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Muzi Matfunjwa, South African Centre for Digital Language Resources (SADiLaR), South Africa Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za<mailto:menno.vanzaanen@nwu.ac.za> Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org<https://www.sadilar.org/> ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. 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