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[Call for Submission] 2023 AMIA Artificial Intelligence Evaluation Showcase Stage 3 (Deadline: July 11, 2023)
by Sabrina Hsueh 19 May '23

19 May '23

*2023 AMIA Artificial Intelligence Evaluation Showcase* - Submission for Stage 3 <https://tinyurl.com/aishowcase> is now open. Submission deadline: *July 11, 2023.* https://amia.org/education-events/amia-2023-artificial-intelligence-evaluat… Regulators, researchers, and clinical practitioners have all been exploring how to best evaluate the different phases of the health AI deployment lifecycle. The American Medical Informatics Association (AMIA), the world's largest professional society for medical informaticists, has been actively helping the community identify new and flexible oversight mechanisms to ensure the safe, effective use of artificial intelligence (AI) applications in healthcare. In the AMIA AI Evaluation Showcase Series, we aim to select and present the current use cases in the field and form a community to help build consensus around the best practice. The formed community and the curated best practice examples are expected to help strengthen the thought leadership position of the AMIA community in the industrial standard understanding and setting. In Stage III, we invite submissions for projects to summarize the comprehensive evaluation of the Health AI implementation – from the Stage I results of technical model performance (including bias detection and mitigation) to the Stage II results of workflow/usability studies to new research results in Stage III that measure the impact of the AI implementation. Authors should report on the impacts of the AI implementation based on the measures of their choice, e.g., clinical outcomes, patient-reported outcome measures (PROMs), patient-reported experience measures (PREMs), clinician experience and adoption measures, cost of care, healthcare quality, or other measures from health economic studies. Those who did not submit for Stage I and Stage II but still wish to participate in Stage III should follow the Stage I and Stage II submission guideline to include the evaluation plan for all three stages and the result for all three stages. The best work will be considered for publication in *JAMIA Open* <https://amia.org/news-publications/journals/jamia-open>. If your organization has AI/ML initiatives or departments, please help pass the CFP to your colleagues involved in those initiatives and departments. This year, we invite health AI researchers and practitioners in this area to join this community for more discussion. We want to start the conversations in the community and collect best practice examples. Your help in disseminating this CFP to them would be highly appreciated. *Presentation at the AMIA Annual Symposium, November 11-15, 2023, New Orleans, LA* *Submission Deadline: **July 11, 2023 * *How to Participate?* Visit: https://amia.org/education-events/amia-2023-artificial-intelligence-evaluat… https://tinyurl.com/aishowcase Email Co-Chairs: Sabrina Hsueh, PhD, FAMIA pyhsueh(a)berkeley.edu Li Zhou, MD, PhD, FACMI, FAMIA, FIAHSI LZHOU(a)bwh.harvard.edu

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[CFP] KDD 2023 Applied Data Science for Healthcare Workshop
by Sabrina Hsueh 19 May '23

19 May '23

CALL FOR PAPERS Applied Data Science for Healthcare Workshop in KDD 2023: Applications and New Frontiers of Generative Models for Healthcare 4 page submissions are due by May 23, 2023 https://dshealthkdd.github.io/dshealth-2023 https://kdd.org/kdd2023/workshops/ Generative models have a long history, and many application areas exist in medical machine learning (ML) and artificial intelligence (AI). In healthcare research, one of the most common applications of generative models has been generating synthetic data for training machine learning models. It is often used to increase the representation of patient subgroups to improve generalization and mitigate algorithmic biases. This is especially valuable in application domains where data is hard to come by. The generative models can also be used for specific model evaluation purposes (e.g., within a robustness or generalizability assessment, virtual clinical trials). They can help generate synthetic ground truth data when data labeling is highly burdensome. Moreover, generative models have been successfully applied in data preprocessing or enhancement, such as image reconstruction or denoising deep learning algorithms in medical imaging. While such generative models have proven their utility in the health domain, many open questions remain concerning the approaches for evaluating their effectiveness and safety. Testing and evaluation of such models require specific considerations. Taking the assessment of the gap between the generated data and the reality — the so-called Sim2Real challenge — as an example, it is often unclear how to (i) quantify this domain gap and its impact on downstream performance in a meaningful manner and (ii) reduce it to leverage the potential of generative models fully. New challenges are also emerging on a more grand scale. The recent advances in Large Language Models (LLMs) make data generation even more effortless. However, the misinformation generated with such models may cause a “pollution” of data for future model training. We can expect an increased need for effective fact-checking approaches. Despite the considerable growth of this area of research, the actual use of NLP technology for fact-checking is still in its infancy. In this half-day workshop, we would like to discuss some of the most common applications of generative models in ML/AI research in the healthcare domain, the current challenges, and also explore the potential new application areas. We invite full papers and work-in-progress on the application of data science in healthcare. Topics may include but are not limited to the following topics (For more information, see workshop overview <https://dshealthkdd.github.io/dshealth-2023/#home>) with a special focus on generative models for healthcare. - Synthetic data - Training data augmentation, e.g., in computer vision, medical imaging algorithm - Physics- and Chemistry- based generative models - Simulated data and privacy-preserving algorithms - In-silico clinical trials - Testing data, e.g., synthetic ground truth - Generative AI for tabular data - Interpretability - Privacy and security of generative AI - Inverse models for source verification - Watermark for AI-generated data - Factual capabilities of generative AI - Testing and evaluation of the generative models - Sim2Real domain gap - Data selection & quality aspects of the data (distribution shifts, monitoring of the models) - Fact-checking - Generating new healthcare-specific benchmarks - Bias detection and mitigation in healthcare - Reliability and trustworthiness of the generative models (actionable plans) - Application of LLMs - Systematic literature review - Modernizing pharmaceutical call center operations - Chatbot for patient registration, triage, scheduling, and rooming - Semantic data augmentation - Others - Responsible use of Generative AI - Generative AI Fairness and Bias detection - Generative AI bias mitigation (e.g., adversarial training) - Generative AI model transparency - Generative AI ethics and responsible AI risk management - Other - Knowledge representation learning Papers must be submitted in PDF format to easychair https://easychair.org/conferences/?conf=dshealth2023 and formatted according to the new Standard ACM Conference Proceedings Template <https://www.acm.org/publications/proceedings-template>. Authors are encouraged to use the Overleaf template <https://www.overleaf.com/latex/templates/acm-conference-proceedings-primary…>. Papers must be a maximum length of 4 pages, excluding references. The program committee will select the papers based on originality, presentation, and technical quality for spotlight and/or poster presentation. Previous Iterations - KDD Health Day - DSHealth 2022 <https://dshealthkdd.github.io/dshealth-2022/>: 2022 KDD Workshop on Applied Data Science for Healthcare: Transparent and Human-centered AI - KDD Health Day - DSHealth 2021 <https://dshealthkdd.github.io/dshealth-2021/>: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare State of XAI and Trustworthiness in Health - DSHealth 2020 <https://dshealthkdd.github.io/dshealth-2020/>: 2020 KDD Workshop on Applied Data Science for Healthcare: Trustable and Actionable AI for Healthcare - DSHealth 2019 <https://dshealthkdd.github.io/dshealth-2019/>: 2019 KDD Workshop on Applied Data Science for Healthcare: Bridging the Gap between Data and Knowledge - MLMH 2018 <https://mlmhworkshop.github.io/mlmh-2018/>: 2018 KDD Workshop on Machine Learning for Medicine and Healthcare Follow us on Twitter: https://twitter.com/HealthDs https://dshealthkdd.github.io/dshealth-2023

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IACT’23@SIGIR: Human or AI? Deadline Approaching
by Hugo Oliveira Sousa 18 May '23

18 May '23

*** Apologies for cross-posting *** ++ CFP: DEADLINE APPROACHING ++ ============================================================================================================================= The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Workshop website: https://en.sce.ac.il/news/iact23 Date: July 27, 2023 Location: Taipei, Taiwan. Paper submission deadline: Extended to May 23, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - Full research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - Short research papers: up to 5 pages. It can describe ongoing research, resources, and demos. - Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - Position papers: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Workshop Format: The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Workshop Topics: Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question-answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: Prof. Mark Last - Ben-Gurion University of the Negev, Israel Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany Contacts: Dr. Marina Litvak: litvak.marina(a)gmail.com Dr. Irina Rabaev: irinar(a)ac.sce.ac.il All the best, Hugo Sousa on behalf of the IATC'23 Organizers

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2nd CFP - SIMBig 2023 - Artificial Intelligence, Data Science - Mexico
by Juan Antonio Lossio-Ventura 18 May '23

18 May '23

> [Apologies for cross-posting] > ====================================================================== > 2nd CALL FOR PAPERS - SIMBig 2023 > ====================================================================== > > SIMBig 2023 - 10th International Conference on Information Management and Big Data > Where: Tecnológico de Monterrey, Mexico DF, MEXICO > When: August 30 - September 01, 2023 > Website: https://simbig.org/SIMBig2023/ <https://simbig.org/SIMBig2023/> > > ====================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS > ---------------------------------- > > Mona Diab, Meta AI, USA > Carlos Coello, TEC Monterrey, Mexico > Finale Doshi-Velez, Harvard University, USA > Huan Liu, Arizona State University, USA > > IMPORTANT DATES > ---------------------------------- > > June 24, 2023 --> Full papers and short papers due > July 28, 2023 --> Notification of acceptance > August 11, 2023 --> Camera-ready versions > August 30 - September 01, 2023 --> Conference held in Mexico DF, Mexico > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899> (to be confirmed). > > Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979> > > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Big/Masive Data > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Semantic Web > Data-driven Software Engineering > Data-driven software adaptation > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Crowdsourcing > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2023 proposes six special tracks in addition to the main conference: > > SNMAM <https://simbig.org/SIMBig2023/en/snmam.html> - Social Network and Media Analysis and Mining > DISE <https://simbig.org/SIMBig2023/en/dise.html> - Data-Driven Software Engineering > ANLP <https://simbig.org/SIMBig2023/en/anlp.html> - Applied Natural Language Processing > EE-AI-HPC <https://simbig.org/SIMBig2023/en/eeaihpc.html> - Efficiency Enhancement for AI and High-Performance Computing > AIEI <https://simbig.org/SIMBig2023/en/aiei.html> - Artificial Intelligence for Educational Innovation > CIIN <https://simbig.org/SIMBig2023/en/ciin.html> - Cybersecurity And IoT for Intelligent Network > > CONTACT > ---------------------------------- > > SIMBig 2023 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>) >

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CfP: Cultural Data Analytics Conference 2023 (December 13-16, 2023), deadline JUly 24
by Andres Karjus 17 May '23

17 May '23

We invite submissions for the Cultural Data Analytics Conference 2023 / CUDAN 2023, organized by the ERA Chair project for Cultural Data Analytics at Tallinn University, generously funded by the European Commission. Inspired by initial large gatherings of the cultural analytics community, including UCLA/IPAM 2016, and multidisciplinary conferences such as NetSci, IC2S2, or CSS, we aim to bring together researchers, practitioners, and stakeholders using methods of cultural data analytics to understand cultures and cultural production. This particularly includes multidisciplinary combinations of quantification, qualitative inquiry, computational analysis, and visualization to make sense of large cultural datasets, including visual, audiovisual, linguistic, and other genres of socio-cultural materials. The conference is scheduled to happen in Tallinn, Estonia from December 13 to 16, 2023, including a number of leading invited practitioners, peer-reviewed talks, and poster contributions from the community. Conference programme The CUDAN 2023 main conference programme (December 14-16, 2023) will include six keynotes covering the spectrum of relevant disciplines, a lightning talk session in the plenary, parallel sessions, and a poster section. The latter will run throughout the whole conference in the coffee and lunch area that is collocated with the plenum. The conference will close with a best poster and best paper award ceremony. The pre-conference day (December 13, 2023) will feature introductory workshops by CUDAN senior fellows, covering aspects of cultural data analysis and visualization using Python, R, Tableau, and the Collection Space Navigator. Before and after the main conference, we will offer sightseeing tours, including the medieval Tallinn old town and Christmas market (among many reasons to visit Estonia). We are further planning a meet the publisher’s session and other opportunities for relevant stakeholders, including exhibition booths. If you or your institution/company is interested in participation, please contact us via email to cudan(a)tlu.ee, ideally before September 14, 2023. Keynotes – Petter Holme, Aalto University, Helsinki, Finland – Béatrice Joyeux-Prunel, Université de Genève, Switzerland – Mauro Martino, Visual Artificial Intelligence Lab, IBM Research, Boston, USA – Anu Masso, TalTech, Tallinn, Estonia Conference Scope and Call Cultures and cultural production are multifaceted phenomena, which, like other complex systems, cannot be fully understood from the perspective of a single specific discipline. This is why the core mission of cultural data analytics is to join forces and make headway across disciplines and domains of expertise. Feeding into this mission, we welcome both multidisciplinary submissions, and contributions from specific disciplines, which aim to benefit from discussion in a multidisciplinary forum. We encourage discussion towards a deeper understanding of cultures and cultural production including aspects, methods, and intersections of the following fields: – cultural analytics, culturomics, and socio-cultural data science; – digital humanities and computational humanities; – cultural evolution, including experimental and observational approaches; – cultural complexity science, network science, computational social science, and social physics; – computational linguistics, quantitative aesthetics, critical computer vision, and machine learning; – art history, cultural history, cultural semiotics, film studies, musicology, and urbanism; – artistic research, algorithmic curation, and AI art (including aspects of cultural data analysis); – creative industries research, media economics, and policy studies; – data journalism, data science, and information visualization. Contributions ideally address at least one of the following subject domains (in line with state-of-the-art conceptual reference models for cultural data): – material aspects, including artworks, architecture, texts, images, sound, film, digital media, databases, and other forms of tangible cultural heritage; – conceptual aspects, including cultural practices, rituals, theories, policies, data models, narratives, imagined communities, and other forms of intangible cultural heritage; – social aspects, including human behaviour, human mobility, social networks, and social media; – temporal aspects, from slow historical processes to turbulence in today’s economy of attention; – spatial aspects of historical topography, cultural geography, and urban dynamics; – event aspects, which combine the above aspects in cultural co-production, event series, tourism, etc.; – network aspects of socio-cultural interaction, including the inherent ecology of complex networks as documented in the structure and dynamics of large cultural knowledge graphs or blockchains associated with the crypto-art-market, for example. We invite authors to submit a single-page abstract pdf including a descriptive figure and caption by the 24th of July 2023 via our OpenReview submission system. We accept contributed talks, lightning talks, and posters (please indicate your preference). Review is single-blind. SUBMIT HERE: https://openreview.net/group?id=CUDAN.tlu.ee/2023/Conference

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CLiC-it 2023 - Ninth Italian Conference on Computational Linguistics - CfP
by Magnini Bernardo 17 May '23

17 May '23

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ CLiC-it 2023 - Ninth Italian Conference on Computational Linguistics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 November - 2 December, 2023, Venice, Italy Conference Announcement and First Call for Papers https://clic2023.ilc.cnr.it/ The Italian Conference on Computational Linguistics, CLiC-it, aims at establishing a reference forum for the Italian community of researchers working in the fields of Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it promotes and disseminates high-level, original research on all aspects of automatic language processing, both written and spoken, and targets state-of-the-art theoretical results, experimental methodologies, technologies, as well as application perspectives, which may contribute to the advancement of the CL and NLP fields. The spirit of the conference is inclusive. In the conviction that the complexity of language phenomena needs cross-disciplinary competences, CLiC-it intends to bring together researchers of related disciplines such as Computational Linguistics, Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it is open to contributions on all languages, with a particular emphasis on Italian. The ninth edition of CLiC-it will be held in Venice, on 30 November - 2 December, 2023. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- www.ai-lc.it). Submission Format ----------------- CLiC-it 2023 invites the submission of long and short papers in all aspects of Computational Linguistics and Natural Language Processing. CLiC-it 2023 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Paper Types and Formats ----------------------- - LONG PAPERS must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to six (6) pages of content, plus unlimited pages of references and appendices. Final versions of long papers will be given one additional page of content (up to seven (7) pages), so that reviewers’ comments can be taken into account. - SHORT PAPERS submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a small, focused contribution - a point that can be made in a few pages with sufficient level of detail. Short papers may consist of up to three (3) pages of content, plus unlimited pages of references and appendices. Final versions of short papers will be given one additional page of content (up to four (4) pages), so that reviewers’ comments can be taken into account. In particular, CLiC-it 2023 welcomes the following kinds of contributions: - Computationally-aided linguistic and literary analysis (of either models or data resources) - NLP engineering experiment - Reproduction study - New data resources, particularly for Italian and for low-resource languages - Approaches for data- and compute efficiency - Position papers - Surveys - Publicly available software and pre-trained models Both, long and short papers, will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (only for long papers, if applicable) - verifiability and ability to replicate (only for long papers, if applicable) While there is no direct mapping between types of contributions and paper length, some kinds of papers naturally gravitate towards a certain length: e.g. surveys are more likely to be long rather than short papers. One paper can make more than one contribution of different types (e.g., a paper presenting a new resource and experiments using the resource). Papers can be either in English or Italian, with the abstract both in English and Italian. Submission is electronic, using the OpenReview conference management system. Both long and short papers must follow the CLiC-it two-column format, using the supplied official style files. We strongly recommend the use of LaTeX style files or Microsoft Word style files according to the following formats: - Download LaTex Template: https://clic2023.ilc.cnr.it/wp-content/uploads/2023/04/clic2023.zip - Download Word Template: https://clic2023.ilc.cnr.it/wp-content/uploads/2023/04/clic2023.odt 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. Papers must be submitted through the OpenReview platform using the following link: https://openreview.net/group?id=AI-LC.it/CLiC-it/2023/Conference Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. Research Communication Papers ---------------------------------- CLiC-it 2023 favours a parallel submission policy for outstanding papers that have been submitted and accepted elsewhere in 2022. If you are the author of a paper accepted at a major international CL conference or journal in 2022, you can submit your work at CLiC-it 2023 in the form of a short research communication, within a dedicated session at the conference. Research communications will not be published in the proceedings, but are mostly intended to enforce dissemination of excellence in research within the Italian CL community. The papers submitted must be in scope for the CLiC-it 2023 conference. The authors of any paper that meets the above criteria are invited to submit a written (maximum) one-page document with the abstract of the original paper, the paper’s title, the paper’s authors, and a pointer to the original journal paper at the conference or journal Web site. Authors will be invited to present their papers at CLiC-it 2023 after a check that the paper satisfies the above listed criteria. As the papers have already been reviewed and published, they will not be reviewed again. In the case that an exceptionally high number of submissions is received, a selection will be made, also based on the original publication venue. Priority will be given to papers that better fit the conference program, offering a balance across the conference topics. Awards ---------------------------------- In order to award the work of young researchers, the title of “best paper” will be attributed to the best papers in different research areas with a Master/PhD student among the authors and presenting the work at the conference. The awarded authors will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field and with the endorsement of AILC, we are conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 euro plus free membership to AILC for one year and free registration to the upcoming CLiC-it, where the author will have the chance to present her/his thesis. The complete call is available on the conference website at: “Calls > AILC Master Thesis Award”. Multiple Submission Policy -------------------------- CLiC-it 2023 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2023 Chairs as soon as possible. Important Dates --------------- - 20/07/2023: Paper submission deadline: long, short, research communications - 29/09/2023: Notification to authors of reviewing outcome - 20/10/2023: Camera ready version of accepted papers - 30/11 - 2/12/2023: CLiC-it Conference, Venice People ------ Conference Chairs: - Federico Boschetti (Institute for Computational Linguistics "A. Zampolli", CNR / Ca' Foscari University of Venice) - Gianluca Lebani (Ca' Foscari University of Venice) - Bernardo Magnini (Fondazione Bruno Kessler) - Nicole Novielli (University of Bari "Aldo Moro") Local Organizing Committee: - Franz Fischer (Ca' Foscari University of Venice) - Francesca Dall’Igna (IUSS, School for Advanced Studies Pavia) - Luca Molinari (Ca' Foscari University of Venice / University of Warsaw) - Cristina Procentese (Ca' Foscari University of Venice) Proceedings Chairs: - Alice Suozzi (Ca' Foscari University of Venice) - Andrea Zaninello (Fondazione Bruno Kessler) Webmasters: - Eleonora Ghizzota (University of Bari "Aldo Moro") - Tiziano Labruna (Fondazione Bruno Kessler) Publicity Chair - Sofia Brenna (Fondazione Bruno Kessler) Further information ------------------- Conference website: https://clic2023.ilc.cnr.it/ Mail: clicit2023(a)gmail.com -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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19th IEEE eScience Conference (eScience 2023): Fifth Call for Papers
by georgeangelos60＠gmail.com 17 May '23

17 May '23

*** Fifth Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: • Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions • Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Paper Award • Best Student Paper Award • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Paper Submissions Due: Friday, May 26, 2023 (AoE) • Notification of Paper Acceptance: Friday, June 30, 2023 • Poster Submissions due: Friday, July 7, 2023 (AoE) • Poster Acceptance Notification: Monday, July 24, 2023 • All Camera-ready Submissions due: Monday, August 14, 2023 • Author Registration Deadline: Monday, August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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2nd CALL FOR PAPERS: ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing, December 16-17, 2023
by Mourad Abbas 17 May '23

17 May '23

Second Call for papers 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 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 research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. For more details, visit the conference website: https://www.icnlsp.org *CONTACT* icnlsp(at)gmail(dot)com

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PhD grant on Extracting information from clinical documents in a multilingual perspective
by Alberto Lavelli 17 May '23

17 May '23

*Extracting information from clinical documents in a multilingual perspectiveDeadline for application: June 7 2023, 13:00 CEST* One three-year PhD grant on Extracting information from clinical documents in a multilingual perspective is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS, http://hit.psy.unipd.it/BMCS) at the University of Padua, jointly with the Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English. The deadline for application is: June 7 2023, 13:00 CEST For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy). Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy. The Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language. To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Alberto Lavelli (lavelli(a)fbk.eu) The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market. ****Required/Preferred Candidate Skills and Competencies**** The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures and large language models). Experience on biomedical/clinical data will be a plus. Basic programming skills (e.g. Python) would complete the profile. Proficiency in English is required, basic knowledge of Italian preferable. ****Instructions for applicants**** Interested applicants are invited to apply following the instructions given in https://pica.cineca.it/unipd/dottorati39 by June 7 2023, 13:00 CEST For further information, please contact: Alberto Lavelli (lavelli(a)fbk.eu) -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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[2nd call] Postdoc position on Explainable NLP at the University of Copenhagen
by Isabelle Augenstein 17 May '23

17 May '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a postdoctoral position in Human-Centered Explainable Fact Checking with a start date of 1 September 2023. The application deadline is 24 May 2023. Applications for the position can be submitted here: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI… The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group (www.copenlu.com/<http://www.copenlu.com/>). The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The position is offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. The project team will consist of the principle investigator, two PhD students and postdocs each, collaborators from CopeNLU as well as external collaborators. The role of the postdoctoral researcher to be recruited in this call will be to research explainable fact checking with a focus on diverse user needs of end users in collaboration with the larger project team. More information about the project can also be found at: http://www.copenlu.com/talk/2022_11_erc/ Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:s.belongie@di.ku.dk> http://isabelleaugenstein.github.io/

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