May 2023 - Corpora - ELRA lists

FOIS 2023 Call for participation
by Selja Seppälä 19 May '23

19 May '23

**apologies for cross-postings** ===== Call for Participation to FOIS 2023 conference, workshops and tutorials ===== Program: https://fois2023.griis.ca/program/ <https://fois2023.griis.ca/program/> Registration: https://fois2023.griis.ca/registration/ <https://fois2023.griis.ca/registration/> ================================================================= 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), July 17-20, 2023 (Sherbrooke, QC, Canada) and Sept 18-20, 2023 (Online) Important dates ============= Early registration: May 22, 2023 Regular registration: June 15, 2023 On site conference: July 17-20, 2023 Definition and scope ================ The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/ <http://iaoa.org/>), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. Key Notes Speakers ================= . Deborah McGuinness (Tetherless World Senior Constellation Chair and Professor of Computer, Cognitive, and Web Sciences at Rensselaer Polytechnic Institute, Troy, NY) . Michael Gruninger (Professor of Industrial Engineering,Semantic Technologies Laboratory, University of Toronto, Canada) . John Heil (Professor, Department of Philosophy, Washington University, St Louis, and Durham University, UK) Accepted papers: https://fois2023.griis.ca/accepted-papers/ <https://fois2023.griis.ca/accepted-papers/> Workshops (as part of the Joint Ontology Workshops) and tutorials ======================================================= CAOS VII: Cognition And OntologieS <https://caos.inf.unibz.it/> Where next? The present and future of geospatial ontologies <http://stl.mie.utoronto.ca/geospatial2023/home.html> Workshop on FAIR Ontologies and Ontologies for FAIR <https://onto4fair.github.io/> The Integrated Food Ontology Workshop 2023 <https://foodon.org/ifow-2023-workshop/> Ontologies for Services and Society (OSS) <https://csse.utoronto.ca/oss2023> 2nd Workshop on Knowledge Management and Process Mining for Law (KM4LAW) <https://km4law.di.unito.it/> 2nd Modular Knowledge Workshop (MK 2023) <https://mk2023.fbk.eu/> 7th Workshop on Foundational Ontology (FOUST VII) <https://foust.inf.unibz.it/foust7/> Tutorial: The Ontology of Parts, Wholes, and Sums <https://fois2023.griis.ca/wp-content/uploads/2023/03/AG-tutorial-abstract.p…>, Antony Galton Full program : https://fois2023.griis.ca/program/ <https://fois2023.griis.ca/program/> ========= Main Conference : July 17-19, 2023 Workshops and tutorials: July 19-20, 2023 Registration fees (early rate until May 22, 2023) ============== Full Conference Academic and indus. early 510€ / 750 Can $ regular 580 € / 850 Can$ Student early 275€ / 400 Can $ regular 310 € / 450 Can$ Workshop Days (July 19-20) Academic and indus. early 260€ / 400 Can $ regular 260 € / 400 Can$ Student early 170€ / 250 Can $ regular 170 € / 250 Can$ more information here: https://fois2023.griis.ca/registration/ <https://fois2023.griis.ca/registration/> Location ======= FOIS 2023 consists of a physical meeting and a virtual meeting: An in-person only meeting in Sherbrooke, Quebec from July 17 to 20, 2023 that will be very much like a traditional conference with keynotes, regular talks, workshops and tutorials and plenty of social and networking opportunities. This part will not have a remote participation option, but we plan on recording selected talks (e.g. keynotes). This will be followed by an online part to be held from September 18 to 20, 2023 that offers an opportunity for presentation and discussion of additional papers that were not presented at the physical meeting in Sherbrooke. Conference Organization =================== General Chair: Antony Galton, University of Exeter, UK PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France Torsten Hahmann, University of Maine, USA Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France Workshop and Tutorial Chairs: Megan Katsumi, University of Toronto, Canada Emilio Sanfilippo, ISTC-CNR, Trento, Italy Early Career Chairs: Antoine Zimmermann, École des Mines de Saint-Étienne (EMSE), France Guendalina Righetti, Free University Bozen/Bolzano, Italy Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK Tiago Prince Sales, University of Twente, Netherlands Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany Selja Seppälä, University College Cork, Ireland Proceedings Chair: Maria Hedblom, Jönköping University, Sweden Program committee: https://fois2023.griis.ca/conference-organization/ <https://fois2023.griis.ca/conference-organization/>

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Last call for papers DiSLiDaS 2023 collocated with LDK2023 - Extended deadline
by Purificação Silvano 19 May '23

19 May '23

+++Apologies for cross-posting+++ Last call for papers Workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing - DiSLiDaS 2023 12-13 September 2023 (TBA) University of Vienna, Vienna, Austria Paper submission deadline: Extended May, 30, 2023 Website: http://dislidas.mozajka.co<http://dislidas.mozajka.co/> The fourth biennial conference on Language, Data and Knowledge (LDK 2023) (http://2023.ldk-conf.org<http://2023.ldk-conf.org/>) and Cost Action CA18209 NexusLinguarum (https://nexuslinguarum.eu<https://nexuslinguarum.eu/>) are glad to announce the second workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing – DiSLiDaS 2023. Conference aims and topics The workshop aims to follow through the topics discussed during DiSLiDaS 2022 (https://dislidas.mozajka.co/?page_id=211) and to gather current research advances in discourse analysis and representation, in the context of multilinguality, from a linguistic and computational perspective. We invite submissions addressing challenges such as interoperability, linguistic linked open data (LLOD), and language processing and analysis. The workshop topics are the following (but not limited to): ● Discourse and dialogue annotation: Parsing and representation across languages and frameworks ● Discourse markers and discourse relations (RST, PDTB, SDRT): Identification, prediction and extraction ● Attitudes discovery and interpretation in Discourse: Appraisal and sentiment ● Effects of multimodality on discourse interpretation: Intonation, gesture and text ● Interoperability for Multilingual language data: Challenges of rich and distributed data ● Discourse data and machine learning: Methods and tools Discourse comprises a wide variety of linguistic phenomena, such as discourse markers, discourse relations, and speaker attitude, which have been largely studied by different communities of practice from Linguistics and Computation, rendering several theoretical frameworks (for instance, RST, SDRT, PDTB, for discourse relations; appraisal theory for sentiment analysis,...), and technological approaches, such as transformer models, embeddings and alike. Nonetheless, there are open issues concerning interoperability, multilinguality, and language processing, in particular, the existence of different annotation schemas, disambiguation, lack of training data for machine learning, scarcity of effective language phenomena detection and interpretation methods, diverse vocabularies, insufficient multilingual parallel corpora of non-dialogue and dialogue, initial stages of exploration of multimodality. Discourse research is one of the central research areas of natural language processing (NLP) too. NLP research focuses on the formalisation, identification and discovery of semantic phenomena, dialogue exchange structure, and text coherence. Some of the technological approaches of NLP include the use of transformer models, word embeddings, linguistic linked open data, the constitution of aligned multilingual corpora, vocabularies of language phenomena and alike. Computational discourse explores the evidence that language consists not only of placing words in the right order but also of detecting and interpreting the meaning and deeper textual relations and organising ideas into a logical flow. The linguistic approaches study language phenomena referring to coherence and cohesiveness of discourse, lexical, phrasal, syntactic, semantic and pragmatic means to express discourse relations, represent their roles and build language resources for them. Despite all the advances, there are still plenty of unresolved problems related to interoperability, multilinguality, and language processing. With the growth of the Semantic Web and Linguistic Linked Data, interoperability is key to reading, interpreting and adopting language resources. The existence of different annotation schemas to encode discourse relations constitutes a problem for data exchange and reuse and for theoretical consistency. The treatment of multilinguality is also complicated because of the insufficiency of multilingual parallel corpora of collections of non-dialogue and dialogue texts, which would allow systematic contrastive studies. As to language processing, the lack of training data for machine learning, coupled with the scarcity of effective language phenomena detection and interpretation methods, the coexistence of diverse vocabularies, and the minimal attention to the contribution of the tone of voice, intonation, gestures to the meaning and the informative value of discourse elements make the task of discourse processing still very challenging. The workshop intends to be a discussion forum for researchers interested in addressing the aforementioned challenges and advancing the state-of-art in discourse studies and linguistic data science. Programme The Scientific Programme will include one invited talk and oral presentations. Invited Speaker Johan Bos, University of Groningen Submissions Submissions can be in the form of: • long papers: 9–12 pages; • short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymised. The workshop will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the workshop (either remotely or on-site). There will be no registration fee administered for participating in DiSLiDaS 2023. Submissions must be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=dislidas2023 Important dates Time Zone: Anywhere on Earth Papers due: May, 19, 2023, May, 30, 2023 Papers acceptance notifications: June, 16, 2023 Camera-ready papers due: June, 30, 2023 Programme Committee Elena-Simona Apostol, University Politehnica of Bucharest, Romania Harry Bunt, Tilburg University, Netherlands Maria Josep Cuenca, Universitat de València Debopam Das, Humboldt University of Berlin, Germany Jorge Garcia, University of Zaragoza, Spain Mikel Iruskieta, University of the Basque Country, Spain António Leal, University of Porto, Portugal Chaya Liebeskind, Jerusalem College of Technology, Israel Amália Mendes, University of Lisbon, Portugal Maciej Ogrodniczuk, Polish Academy of Sciences, Poland Giedre Valunaite Oleskevicienė, Mykolas Romeris University, Lithuanian Georg Rehm, DFKI GmbH, Germany Ted Sanders, Utrecht University, Netherlands Merel Scholman, University of Saarland, Germany Dimitar Trajanov, Ss. Cyril and Methodius University, North Macedonia Radoslava Trnavac, University of Belgrade, Serbia Ciprian-Octavian Truica, University Politehnica of Bucharest, Romania Amir Zeldes, The Georgetown University, USA Organising Committee Purificação Silvano, University of Porto, Portugal Mariana Damova, Mozaika, Ltd., Bulgaria Christian Chiarcos, Goethe-Universität, Germany Anna Bączkowska, University of Gdansk, Poland Contact organizers(a)dislidas.mozajka.co<mailto:organizers@dislidas.mozajka.co> Purificação Silvano Professora Auxiliar Departamento de Estudos Portugueses e de Estudos Românicos Faculdade de Letras da Universidade do Porto (https://sigarra.up.pt/flup/pt/web_page.inicial) Centro de Linguística da Universidade do Porto (https://clup.pt) Coeditora da revista elingUP (https://ojs.letras.up.pt/index.php/elingUP) Página pessoal: www.purisilvano.pt<http://www.purisilvano.pt> msilvano.letras.up.pt<http://msilvano.letras.up.pt> Faculdade de Letras da Universidade do Porto Via Panorâmica, s/n 4150-564 Porto Portugal

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2nd CFP - EnGeoData - DSAA 2023 - Greece
by Juan Antonio Lossio-Ventura 19 May '23

19 May '23

> [Apologies for cross-posting] > > ====================================================================== > 2nd CALL FOR PAPERS - EnGeoData - DSAA 2023 > ====================================================================== > > Special Session: Geospatial Data Analysis under the Umbrella of One Health (EnGeoData) > DSAA 2023 - 10th IEEE International Conference on Data Science and Advanced Analytics > Where: Grand Hotel Palace, Thessaloniki, Greece > When: October 9 - 13, 2023 > Website: https://simbig.org/engeodata/2023/ <https://simbig.org/engeodata/2023/> > > ====================================================================== > > > OVERVIEW > ---------------------------------- > > Current context of urbanization, globalization, high mobility/trade, and climate change amid the health domain favors the (re-) emergence of known and unknown diseases. Thus, geospatial and environmental data analysis for One Health is crucial to provide insights into the connections between humans, animals, and environment. This type of analysis allows us to identify and monitor health issues that arise due to the interactions between these three areas. However, it is challenging due to: (1) the multi-modality of the data (e.g., unstructured, imaging, semantic, spatial, temporal, among others); and (2) the difficulty in choosing the "most appropriate” knowledge discovery process according to specific field needs (e.g., animal, plant or human health; crisis and disaster surveillance). > > > TOPICS OF INTEREST > ---------------------------------- > > EnGeoData 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following areas: > > Pre and post processing of environmental data > Geographical information retrieval > Spatial data mining, spatial data warehousing, and spatial data lake > Knowledge discovery use-cases applied to environmental data > Spatial text mining > Spatial ontology > Spatial recommendation and personalization > Visual analytics for geo-spatial data > Dedicated applications: > Spatio-temporal analytics platform > Agricultural decision support systems > Urban traffic systems > Trajectory analysis > Land-use and urban policies > Land-use and urban planning analysis > Spatio-temporal analysis in ecology and agriculture > Disease surveillance systems (One Health) > > IMPORTANT DATES > ---------------------------------- > > May 22, 2023 --> Paper Submission Deadline > July 17, 2023 --> Paper Notification > August 7, 2023 --> Camera-ready versions > October 9-13, 2023 --> Conference held in Thessaloniki, Greece > > PUBLICATION > ---------------------------------- > > All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The paper length allowed for the paper is a maximum of ten (10) pages. See the IEEE Proceedings Author Guidelines for further information and instructions: https://www.ieee.org/conferences/publishing/templates.html <https://www.ieee.org/conferences/publishing/templates.html> > All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference's topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. > > > CHAIRS > ---------------------------------- > > Mathieu Roche, CIRAD, TETIS, France > Antonio Lossio-Ventura, National Institutes of Health, USA > Hamid Laga, Murdoch University, Australia > Maguelonne Teisseire, INRAE, TETIS, France > For questions, please contact us at engeodata(a)teledetection.fr <mailto:engeodata@teledetection.fr>

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DEADLINE EXTENSION — Call for Nominations: E. W. Beth Outstanding Dissertation Prize 2023
by Guy Edward Toh Emerson 19 May '23

19 May '23

DEADLINE EXTENSION — Call for Nominations: E. W. Beth Outstanding Dissertation Prize 2023 ————————————————— The extended deadline for nominations is the 30th of May 2023. ————————————————— Since 2002, the Association for Logic, Language, and Information (FoLLI) has been awarding the annual E.W. Beth Dissertation Prize to outstanding Ph.D. dissertations in Logic, Language, and Information (http://folli.info/?page_id=74), with financial support of the E.W. Beth Foundation (https://www.knaw.nl/en/funds-and-prizes/evert-willem-beth-foundation). Nominations are now invited for the best dissertation in these areas resulting in a Ph.D. degree awarded in 2022. ————————————————— Qualifications: - A Ph.D. dissertation on a topic concerning Logic, Language, or Information is eligible for the Beth Dissertation Prize 2023, if the degree was awarded between January 1st and December 31st, 2022. - There are no restrictions on the nationality, ethnicity, age, gender or employment status of the author of the nominated dissertation, nor on the university, academic department or scientific institution formally conferring the Ph.D. degree, nor on the language in which the dissertation has originally been written. - In accordance with the aim of the Beth Foundation to continue and extend the work of the Dutch logician Evert Willem Beth, nominations are invited of excellent dissertations on topics in the broad remit of ESSLLI, including current topics in philosophical and mathematical logic, computer science logic, philosophy of science, philosophy of language, history of logic, history of the philosophy of science and scientific philosophy in general, as well as the current theoretical and foundational developments in information and computation, language, and cognition. Dissertations with results more broadly impacting various research areas in their interdisciplinary investigations are especially solicited. - If a nominated dissertation has originally been written in a language other than English, its dossier should still contain the required 10 page English abstract, see below. If the committee decides that a nominated dissertation in a language other than English requires translation to English for proper evaluation, the committee can transfer its nomination to the competition in 2024. The English translation must in such cases be submitted before the deadline of the call for nominations in 2024. The committee may recommend the Beth Foundation to consider supporting such nominated dissertations for English translation, upon request by the author of the dissertation. The prize consists of: - a certificate - a donation of 3000 euros, provided by the E.W. Beth Foundation - an invitation to submit the dissertation, possibly after revision, for publication in FoLLI Publications on Logic, Language and Information (Springer). Only digital submissions are accepted, without exception. Hard copy submissions are not allowed. The following documents are to be submitted in the nomination dossier: - The original dissertation in pdf format (ps/doc/rtf etc. not acceptable). - A ten-page English abstract of the dissertation, presenting the main results of each chapter. - A letter of nomination from the dissertation supervisor, which concisely describes the scope and significance of the dissertation, stating when the degree was officially awarded and the members of the Ph.D. committee. Nominations should contain the address, phone and email details of the nominator. - Two additional letters of support, including at least one from a referee not affiliated with the academic institution that awarded the Ph.D. degree, nor otherwise related to the nominee (e.g. former teachers, supervisors, co-authors, publishers or relatives) or the dissertation. - Self-nominations are not possible. All pdf documents must be submitted electronically, as one pdf file, via EasyChair by following the link https://easychair.org/conferences?conf=bodp23 . In case of any problems or questions please contact the chair of the committee Ana Sokolova (anas(a)cs.uni-salzburg.at). The prize will be awarded by the chair of the FoLLI board at a ceremony during the 34th ESSLLI summer school in Ljubljana, July 31 - August 11, 2023. Beth dissertation prize committee 2023: Maria Aloni (University of Amsterdam) Agata Ciabattoni (TU Wien) Robin Cooper (University of Gothenburg) Guy Emerson (University of Cambridge) Herman Geuvers (Radboud University Nijmegen) Erich Grädel (RWTH Aachen University) Sandra Kiefer (University of Oxford) Laura Kovacs (TU Wien) Clemens Kupke (University of Strathclyde) Marina Lenisa (University of Udine) Larry Moss (Indiana University Bloomington) Reinhard Muskens (ILLC, University of Amsterdam) Francesca Poggiolesi (IHPST, CNRS) Lutz Schröder (FAU Erlangen-Nürnberg) Ana Sokolova (University of Salzburg, chair) Alexandra Silva (Cornell University and University College London) FoLLI is committed to diversity and inclusion and welcomes dissertations from all under-represented groups.

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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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