SIGUL March 2023

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Fwd: Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages
by Joseph Mariani 29 Mar '23

29 Mar '23

-------- Message transféré -------- Sujet : Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages Date : Wed, 29 Mar 2023 04:01:36 -0400 De : IEEE Signal Processing Society <marketing(a)signalprocessingsociety.org> Répondre à : marketing(a)signalprocessingsociety.org Pour : mariani(a)limsi.fr Call for Papers: IEEE ACM/TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages SPS_Logo_KO_RGB (1) CALL FOR PAPERS IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP) TASLP Special Issue on Speech & Language Technologies for Low-Resource Languages *Submit Your Manuscript* <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> Speech and language processing is a multi-disciplinary research area that focuses on various aspects of natural language processing and computational linguistics. Speech and language technologies deal with the study of methods and tools to develop innovative paradigms for processing human languages (speech and writing) that can be recognized by machines. Thanks to the incredible advances in machine learning and artificial intelligence techniques that effectively interpret speech and textual sources. In general, speech technologies include a series of artificial intelligence algorithms that enables the computer system to produce, analyze, modify, and respond to human speech and texts. It establishes a more natural interaction between humans and computers as well as the translation between all human languages with effective analysis of text and speech. These techniques have significant applications in computational linguistics, natural language processing, computer science, mathematics, speech processing, machine learning, and acoustics. Another important application of this technology is the machine translation of text and voice. There exists a huge gap between speech and language processing in low-resource languages as they have lesser computational resources. With the ability to access vast computational sources from various digital sources, we can resolve numerous language processing problems in real time with enhanced user experience and productivity measures. Speech and language processing technologies for low-resource languages are still in their infancy. Research in this stream will enhance the likelihood of these languages becoming an active part of our life, as their importance is paramount. Furthermore, the societal shift towards digital media along with spectacular advances in digital media along with processing power, computational storage, and software capabilities with a vision of transferring low-resource computing language resources into efficient computing models. This special issue aims to explore the language and speech processing technologies to novel computational models for processing speech, text, and language. The novel and innovative solutions focus on content production, knowledge management, and natural communication of low-resource languages. We welcome researchers and practitioners working in speech and language processing to present their novel and innovative research contributions for this special section. Topics of Interest * Artificial intelligence-assisted speech & language technologies for low-resource languages * Pragmatics for low-resource languages * Emerging trends in knowledge representation for low-resource languages * Machine translation for low-resource language processing * Automatic speech recognition & speech technology for low-resource languages * Sentiment & statistical analysis for low-resource languages * Multimodal analysis for low-resource languages * Augment mining for low-resource language processing * Text summarization & speech synthesis * Sentence-level semantics for speech recognition * Information retrieval & extraction of low-resource languages Submission Guidelines Manuscripts should be submitted through the Manuscript Central system <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…>. *Submit Your Manuscript* <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> *Important Dates* * *Submission deadline: 30 May 2023* * Authors notification: 25 July 2023 * Revised version submission: 29 September 2023 * Final decision notification: 15 December 2023 Guest Editors * Dr. Chi Lin <mailto:clindut@ieee.org>, Dalian University of Technology, China * Dr. Chang Wu Yu <mailto:cwyu@chu.edu.tw>, Chung Hua University, Taiwan * Dr. Ning Wang <mailto:wangn@rowan.edu>, Rowan University, USA * Dr. Qiang Lin <mailto:lqchina@dlust.edu.cn>, Dalian University of Technology, China Facebook <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> LinkedIn <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> Twitter <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> Instagram <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> YouTube <https://czqvL04.na1.hubspotlinks.com/Ctc/T8+113/czqvL04/VVqS0B3s16ytW55j9JS…> IEEE Signal Processing Society, 445 Hoes Lane, Piscataway, NJ 08854, USA Unsubscribe <https://hs-4789515.s.hubspotemail.net/hs/manage-preferences/unsubscribe-all…> Manage preferences <https://hs-4789515.s.hubspotemail.net/hs/manage-preferences/unsubscribe?lan…> -- Depuis le 1er janvier 2021, le LIMSI a fusionné avec le LRI et est devenu le LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) Since January 1st 2021, LIMSI merged with the LRI lab and became the LISN (Interdisciplinary Computer Science Laboratory) - Joseph MARIANI Directeur de Recherche Émérite au CNRS LISN Rue John von Neumann Université Paris-Saclay Batiment 508 91405 ORSAY Cedex (France) Tel: +33 1 69 15 78 56 Email:Joseph.Mariani@limsi.fr Web:https://perso.limsi.fr/mariani/index Web IMMI:http://immi.cnrs.fr/

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[CfP] IIR2023: 13th Italian Information Retrieval Workshop, June 8th - 9th, 2023, Pisa, Italy
by Guglielmo Faggioli 16 Mar '23

16 Mar '23

Scope The purpose of the Italian Information Retrieval Workshop (IIR) is to provide a meeting forum for stimulating and disseminating research in Information Retrieval, where Italian researchers (especially young ones) and researchers affiliated with Italian institutions can network and discuss their research results in an informal way. IIR 2023 is the 13th edition of the Italian Information Retrieval Workshop. It will take place on June 8th - 9th, 2023 and is organized by the National Research Council of Italy (CNR) and the University of Pisa. Participation in the IIR 2023 workshop will be free of charge. However, advance registration will be strictly required. Topics IIR 2023 offers the opportunity to present and discuss theoretical and empirical research. Relevant topics include, but are not restricted to: - Search and Ranking. Research on core Information Retrieval (IR) algorithmic topics, including IR at scale, covering topics such as: - Theoretical models and foundations of IR and access - Retrieval models and ranking models, including diversity and aggregated search - Web search, including link analysis, sponsored search, search advertising, adversarial search and spam, and vertical search - Queries and query analysis - Recommendation, Content Analysis, and Classification. Research focusing on recommender systems (RS), rich content representations and content analysis, covering topics such as: - Filtering and recommender systems - Document representation - Content analysis and information extraction, including summarization, text representation, readability, sentiment analysis, and opinion mining - Cross- and multilingual search - Clustering, classification, and topic models - Artificial Intelligence, NLP, Semantics, and Dialog. Research bridging AI and IR --, especially toward deep semantics -- and dialog with intelligent agents, covering topics such as: - Question Answering - Conversational systems and retrieval, including spoken language interfaces, dialog management systems, and intelligent chat systems - Semantics and knowledge graphs - Deep learning for IR, embeddings, Large Language Models, and agents - NLP techniques used to enhance search and recommendation - Domain-Specific Applications. Research focusing on domain-specific challenges, covering topics such as: - Social search - Search in structured data including email and entity search - Multimedia search - Search and recommendation for Educational, Legal, Health - including genomics and bioinformatics -, and Academic domains - Other domains such as digital libraries, enterprise, news, app, and archival search - Human Factors and Interfaces. Research into user-centric aspects of IR, including user interfaces, behavior modeling, privacy, and interactive systems, covering topics such as: - Mining and modeling search activity, including user and task models, click models, log analysis, behavioral analysis, and attention modeling - Interactive and personalized search and recommendation - Collaborative search, social tagging and crowdsourcing - Information privacy and security - Evaluation. Research that focuses on the measurement and evaluation of IR systems, covering topics such as: - User-centered evaluation methods, including measures of user experience and performance, user engagement and search task design - Test collections and evaluation metrics, including the development of new test collections - Eye-tracking and physiological approaches, such as fMRI - Evaluation of novel information access tasks and systems such as multi-turn information access - Statistical methods and reproducibility issues in information retrieval evaluation - Efficiency and scalability - Future Directions. Research with theoretical or empirical contributions on new technical or social aspects of IR, especially in more speculative directions or with emerging technologies, covering topics such as: - Novel approaches to IR - Ethics, economics, and politics - Applications of search to social good - IR and RS with new devices, including wearable computing, neuroinformatics, sensors, Internet-of-Things, vehicles Submissions Papers may range from theoretical works to system descriptions. We particularly encourage PhD students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the IIR community. Authors are invited to submit one of the following types of contributions: - Full original papers (10 pages, plus additional pages for references if needed) - Short original papers (5 pages, plus additional pages for references if needed) - Extended abstracts containing descriptions of ongoing projects or presenting already published results (up to 4 pages, plus additional pages for references if needed). If presenting already published results the extended abstract should be single-blind and contain a reference to the original published paper. Submissions of full research papers must be in English, in PDF format in the CEUR-WS single-column conference format available at https://drive.google.com/file/d/1_onwNQpVPD0ViZPrhGfardLrsP0sgmIp/view?usp=… . Submission will be peer-reviewed and accepted papers will appear in the CEUR workshop series (at the authors’ discretion). Submission will be through CMT at https://cmt3.research.microsoft.com/IIR2023/. Important Dates - Submission website opens: March 15, 2023 - Submission deadline: April 15, 2023 - Notification of acceptance: May 16, 2023 - Camera-ready deadline: May 30th, 2023 - IIR 2023: June 8th-9th, 2023 Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. For further information, visit the website http://iir2023.isti.cnr.it/ or contact us to guglielmo.faggioli(a)unipd.it

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AT4SSL2023 - First Call For Papers
by Fred Blain 13 Mar '23

13 Mar '23

Second International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL2023 @EAMT2023) First Call For Papers https://sites.google.com/tilburguniversity.edu/at4ssl2023/ ****** Apologies for cross-posting ****** SCOPE According to the World Federation of the Deaf (WFD) over 70 million people are deaf and communicate primarily via Sign Language (SL). Currently, human interpreters are the main medium for sign-to-spoken, spoken-to-sign and sign-to-sign language translation. The availability and cost of these professionals is often a limiting factor in communication between signers and non-signers. Machine Translation (MT) is a core technique for reducing language barriers for spoken languages. Although MT has come a long way since its inception in the 1950s, it still has a long way to go to successfully cater to all communication needs and users. When it comes to the deaf and hard of hearing communities, MT is in its infancy. The complexity of the task to automatically translate between SLs or sign and spoken languages, requires a multidisciplinary approach (Bragg et al., 2019)<https://dl.acm.org/doi/10.1145/3308561.3353774>. The rapid technological and methodological advances in deep learning, and in AI in general, that we see in the last decade, have not only improved MT, recognition of image, video and audio signals, the understanding of language, the synthesis of life-like 3D avatars, etc., but have also led to the fusion of interdisciplinary research innovations that lays the foundation of automated translation services between sign and spoken languages. This one-day workshop aims to be a venue for presenting and discussing (complete, ongoing or future) research on automatic translation between sign and spoken languages and bring together researchers, practitioners, interpreters and innovators working in related fields. Theme of the workshop: Data is one of the key factors for the success of today’s AI, including language and translation models for sign and spoken languages. However, when it comes to SL, MT and Natural Language Processing, we face problems related to small volumes of (parallel) data, large veracity in terms of origin of annotations (deaf or hearing interpreters), non-standardized annotations (e.g. glosses differ across corpora), video quality or recording setting, and others. The theme of this edition of the workshop is Sign language parallel data – challenges, solutions and resolutions. The AT4SSL workshop aims to open a (guided) discussion between participants about current challenges, innovations and future developments related to the automatic translation between sign and spoken languages. To this extent, AT4SSL will host a moderated round table around the following three topics: (i) quality of recognition and synthesis models and user-expectations; (ii) co-creation -- deaf, hearing and hard-of-hearing people joining forces towards a common goal and (iii) sign-to-spoken and spoken-to-sign translation technology in media. TOPICS This workshop aims to focus on the following topics. However, submissions related to the general topic of automatic translation between signed and spoken languages that deviate from these topics are also welcome: * Data: resources, collection and curation, challenges, processing, data life cycle * Use-cases, applications * Ethics, privacy and policies * Sign language linguistics * Machine translation (with a focus on signed-to-signed, signed-to-spoken or spoken-to-signed language translation) * Natural language processing * Interpreting of sign and spoken languages * Image and video recognition (for the purpose of sign language recognition) * 3D avatar and virtual signers synthesis * Usability and challenges of current methods and methodologies * Sign language in the media SUBMISSION FORMAT Two types of submissions are going to be accepted for the AT4SSL workshop: * Research, review, position and application papers Unpublished papers that present original, completed work. The length of each paper should be at least four (4) and maximum eight (8) pages, with unlimited pages for references. * Extended abstracts Extended abstracts should present original, ongoing work or innovative ideas. The length of each extended abstract is four (4) pages, with unlimited pages for references. Both papers should be formatted according to the official EAMT 2023 style templates (LaTex<https://events.tuni.fi/uploads/2022/12/ee35fd56-latex_template.zip>. Overleaf<https://www.overleaf.com/read/mkjbkppndvxw>, MS Word<https://events.tuni.fi/uploads/2022/12/edd598d2-eamt23.docx>, Libre/Open Office<https://events.tuni.fi/uploads/2022/12/ece98f81-eamt23.odt>, PDF<https://events.tuni.fi/uploads/2022/12/6e89772e-eamt23.pdf>). Accepted papers and extended abstracts will be published in the EAMT 2023 proceedings and will be presented at the conference. SUBMISSION POLICY * Submissions must be anonymized. * Papers and extended abstracts should be submitted using EASY Chair<https://easychair.org/conferences/?conf=eamt2023>. * Work that has been or is planned to be submitted to other venues must be declared as such. Upon acceptance at AT4SSL, it must be withdrawn from the other venues. * The review will be double-blind. IMPORTANT DATES: * First call for papers: 13-March-2023 * Second call for papers: 31-March-2023 * Submission deadline: 14-April-2023 * Review process: between 17-April-2023 and 05-May-2023 * Acceptance notification: 12-May-2023 * Camera ready submission: 01-June-2023 * Submission of material for interpreters: 06-June-2023 * Programme will be finalised by: 01-June-2023 * Workshop date: 15-June-2023 ORGANISATION COMMITTEE: Dimitar Shterionov (TiU) Mirella De Sisto (TiU) Mathias Muller (UZH) Davy Van Landuyt (EUD) Rehana Omardeen (EUD) Shaun O’Boyle (DCU) Annelies Braffort (Paris-Saclay University) Floris Roelofsen (UvA) Frédéric Blain (TiU) Bram Vanroy (KU Leuven; UGent) Eleftherios Avramidis (DFKI) FOR CONTACTS: Dimitar Shterionov, workshop chair: d.shterionov(a)tilburguniversity.edu Registration will be handled by the EAMT2023 conference. (To be announced)

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Final Reminder: Reminder: Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data
by Kolagar, Zahra 13 Mar '23

13 Mar '23

Dear colleagues, This is our final reminder to invite you to participate in our survey entitled "Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data Lifecycle". We would like to remind you that the survey is still available until 15.03.2023, should you wish to take part. If you would like to participate in our survey, please click on this link: <https://umfrage.iis.fhg.de/index.php/765534?lang=en> https://survey.iis.fraunhofer.de/index.php/765534?lang=en We would like to express our sincerest gratitude to each and every one of you who took the time to participate in our survey; your input has been immensely helpful and we are truly grateful for your support. Sincerely, Zahra Kolagar and Hadiseh Yadollahi P.S, If for any technical reasons, you cannot access the link in this email, please report to zahra.kolagar(a)iis.fraunhofer.de<mailto:zahra.kolagar@iis.fraunhofer.de>

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Re: Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data Lifecycle
by Kolagar, Zahra 08 Mar '23

08 Mar '23

Dear Colleague, We hope our email finds you well. We are a group of researchers at the Fraunhofer Institute of Integrated Circuits (IIS) in Erlangen, Germany. Our research is focused on the application of natural language processing in various fields. Our current research is focused on adapting the existing ethical principles to ensure that they are still relevant and adequate to various stages of the research data lifecycle. To this end, we have created a survey and would like to invite you to participate in our survey entitled: Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data Lifecycle. We believe that your expertise will help identify relevant and important points in regard to ethical considerations that both researchers and reviewers need to bear in mind at various stages of research. You can find more information on this survey by clicking on the link below. If you would like to participate in our survey, please click on this link: https://survey.iis.fraunhofer.de/index.php/765534?lang=en . This link will stay active until 15.03.2023. Please also feel free to share the link to this survey with anyone who might be interested in participating. Sincerely, Zahra Kolagar and Hadiseh Yadollahi --------------------------------------------------------------------------------------------- Research Associates at Fraunhofer Institute of Integrated Circuits (IIS) Am Wolfsmantel 33, 91058 Erlangen, Germany ________________________________ From: Kolagar, Zahra Sent: Wednesday, March 1, 2023 12:28:25 AM Subject: Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data Lifecycle Dear Colleague, We hope our email finds you well. We are a group of researchers at the Fraunhofer Institute of Integrated Circuits (IIS) in Erlangen, Germany. Our research is focused on the application of natural language processing in various fields. Our current research is focused on adapting the existing ethical principles to ensure that they are still relevant and adequate to various stages of the research data lifecycle. To this end, we have created a survey and would like to invite you to participate in our survey entitled: Surveying the Landscape of Ethics Consideration Sections Grounded in Research Data Lifecycle. We believe that your expertise will help identify relevant and important points in regard to ethical considerations that both researchers and reviewers need to bear in mind at various stages of research. You can find more information on this survey by clicking on the link below. If you would like to participate in our survey, please click on this link: https://survey.iis.fraunhofer.de/index.php/765534?lang=en . This link will stay active until 15.03.2023. Please also feel free to share the link to this survey with anyone who might be interested in participating. Sincerely, Zahra Kolagar and Hadiseh Yadollahi --------------------------------------------------------------------------------------------- Research Associates at Fraunhofer Institute of Integrated Circuits (IIS) Am Wolfsmantel 33, 91058 Erlangen, Germany

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