- Corpora - ELRA lists

CoCo4MT 2023 @ MT SUMMIT First Call for Papers and Shared Task
by John Ortega 21 May '23

21 May '23

The Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) @MT-SUMMIT XIX The 19th Machine Translation Summit Sep 4-8, 2023, Macau SAR, China https://sites.google.com/view/coco4mt SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT is a workshop centered around research that focuses on manual and automatic corpus creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any language (including sign language) but we are specifically interested in those submissions that explicitly report on work with languages with limited existing resources (low-resource languages). Since techniques from high-resource languages are generally statistical in nature and could be used as generic solutions for any language, we welcome submissions on high-resource languages also. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that the methods presented at this workshop will lead to the development of high-quality corpora that will in turn lead to high-performing MT systems and new dataset creation for multiple corpora. We hope that submissions will provide high-quality corpora that are available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. Topics of interest include: - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SHARED TASK To encourage research on corpus construction for low-resource machine translation, we introduce a shared task focused on identifying high-quality instances that should be translated into a target low-resource language. Participants are provided access to multi-way corpora in the high-resource languages of English, Spanish, German, Korean, and Indonesian, and using these, are required to identify beneficial instances, that when translated into the low-resource languages of Cebuano, Gujarati, and Burmese, lead to high-performing MT systems. More details on data, evaluation and submission can be found on the website (https://sites.google.com/view/coco4mt) or by emailing coco4mt-shared-task(a)googlegroups.com. SUBMISSION INFORMATION CoCo4MT will accept research, review, or position papers. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official MT Summit 2023 style templates (https://www.overleaf.com/latex/templates/mt-summit-2023-template/knrrcnxhkq…). Accepted papers will be published in the MT Summit 2023 proceedings which are included in the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be made to the workshop using the Softconf conference management system (https://softconf.com/mtsummit2023/CoCo4MT). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES May 18, 2023 - Call for papers released May 19, 2023 - Shared task release of train, dev and test data May 25, 2023 - Shared task release of baselines June 5, 2023 - Second call for papers June 20, 2023 - Third and final call for papers July 05, 2023 - Paper submissions due July 05, 2023 - Shared task deadline to submit results July 20, 2023 - Notification of acceptance July 20, 2023 - Shared task system description papers due July 31, 2023 - Camera-ready due September 4-5, 2023 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizers: coco4mt-2023-organizers(a)googlegroups.com CoCo4MT Shared Task Organizers: coco4mt-shared-task(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Ananya Ganesh University of Colorado Boulder Constantine Lignos Brandeis University John E. Ortega Northeastern University Jonne Sälevä Brandeis University Katharina Kann University of Colorado Boulder Marine Carpuat University of Maryland Rodolfo Zevallos Universitat Pompeu Fabra Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Anna Currey Amazon Amirhossein Tebbifakhr University of Trento Atul Kr. Ojha National University of Ireland Galway Ayush Singh Northeastern University Barrow Haddow University of Edinburgh Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Constantine Lignos Brandeis University Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleftheria Briakou University of Maryland Eleni Metheniti Université Toulosse - Paul Sabatier Jasper Kyle Catapang University of Birmingham John E. Ortega Northeastern University Jonne Sälevä Brandeis University Kalika Bali Microsoft Katharina Kann University of Colorado Boulder Kochiro Watanabe The University of Tokyo Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Marine Carpuat University of Maryland Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Patrick Simianer Lilt Rico Sennrich University of Zurich Rodolfo Zevallos Universitat Pompeu Fabra Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Shiran Dudy Northeastern University Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xing Niu Amazon Xu Weijia University of Maryland

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Call for participation - Arabic NER Shared Task 2023
by nagham ghanim 20 May '23

20 May '23

Dear colleagues, We are happy to invite you to join the *Arabic NER SharedTask 2023* <https://dlnlp.ai/st/wojood/> which will be organized as part of the WANLP 2023. We will provide you with a large corpus and Google Colab notebooks to help you reproduce the baseline results. دعوة للمشاركة في مسابقة استخراج الكيونات المسماه من النصوص العربية. سنزود المشاركين بمدونة وبرمجيات للحصول على نتائج مرجعية يمكنهم البناء عليها. *INTRODUCTION* Named Entity Recognition (NER) is integral to many NLP applications. It is the task of identifying named entity mentions in unstructured text and classifying them to predefined classes such as person, organization, location, or date. Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood, a large and rich Arabic NER corpus. Wojood consists of about 550K tokens (MSA and dialect, in multiple domains) that are manually annotated with 21 entity types. *REGISTRATION* Participants need to register via this form ( *https://forms.gle/UCCrVNZ2LaPviCZS6* <https://forms.gle/UCCrVNZ2LaPviCZS6>). Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. *FAQ* For any questions related to this task, please check our *Frequently Asked Questions* <https://docs.google.com/document/d/1XE2n89mFLic2P9DO_sAD51vy734BOt0kgtZ6bFf…> *IMPORTANT DATES* - March 03, 2023: Registration available - May 25, 2023: Data-sharing and evaluation on development set Avaliable - June 10, 2023: Registration deadline - July 20, 2023: Test set made available - July 30, 2023: Evaluation on test set (TEST) deadline - September 5, 2023: Shared task system paper submissions due - October 12, 2023: Notification of acceptance - October230, 2023: camera-ready papers due ** All deadlines are 11:59 PM UTC-12:00 (Anywhere On Earth).* *CONTACT* For any questions related to this task, please contact the organizers directly using the following email address: *NERSharedtask2023(a)gmail.com <NERSharedtask2023(a)gmail.com>* or join the google group: *https://groups.google.com/g/ner_sharedtask2023* <https://groups.google.com/g/ner_sharedtask2023>. *SHARED TASK* As described, this shared task targets both flat and nested Arabic NER. The subtasks are: *Subtask 1:* *Flat NER* In this subtask, we provide the Wojood-Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). The flat NER dataset is the same as the nested NER dataset in terms of train/test/dev split and each split contains the same content. The only difference in the flat NER is each token is assigned one tag, which is the first high-level tag assigned to each token in the nested NER dataset. *Subtask 2:* *Nestd NER* In this subtask, we provide the Wojood-Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). *METRICS* The evaluation metrics will include precision, recall, F1-score. However, our official metric will be the micro F1-score. The evaluation of shared tasks will be hosted through CODALAB. Teams will be provided with a CODALAB link for each shared task. -*CODALAB link for NER Shared Task Subtask 1 (Flat NER)* <https://codalab.lisn.upsaclay.fr/competitions/11594> -*CODALAB link for NER Shared Task Subtask 2 (Nestd NER)* <https://dlnlp.ai/st/wojood/> *BASELINES* Two baseline models trained on Wojood (flat and nested) are provided: *Nested NER baseline:* is presented in this *article* <https://aclanthology.org/2022.lrec-1.387/>, and code is available in *GitHub* <https://github.com/SinaLab/ArabicNER>. The model achieves a micro F1-score of 0.9059 (note that this baseline does not handle nested entities of the same type). *Flat NER baseline:* same code repository for nested NER (*GitHub* <https://github.com/SinaLab/ArabicNER>) can also be used to train flat NER task. Our flat NER baseline achieved a micro F1-score of 0.8785. *GOOGLE COLAB NOTEBOOKS* To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] *Train Flat NER* <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat NER task using the sample Wojood data found in our repository. [2] *Evaluate Flat NER* <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] *Train Nested NER* <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested NER task using the sample Wojood data found in our repository. [4] *Evaluate Nested NER* <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: this notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. *ORGANIZERS* - Mustafa Jarrar, Birzeit University - Muhammad Abdul-Mageed, University of British Columbia & MBZUAI - Mohammed Khalilia, Birzeit University - Bashar Talafha, University of British Columbia - AbdelRahim Elmadany, University of British Columbia - Nagham Hamad, Birzeit University - Alaa Omer, Birzeit University

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19th IEEE eScience Conference (eScience 2023): Combo Call for Workshop Papers
by georgeangelos60＠gmail.com 20 May '23

20 May '23

*** Combo Call for Workshop Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 will host a number of workshops which will be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. eScience 2023 will host the following workshops: ● 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023) http://www.instil-science.eu ● 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023) https://error-workshop.org ● 3rd Workshop on Reproducible Workflows, Data Management, and Security (ReWorDS 2023) https://sites.google.com/vols.utk.edu/rewords23/home ● 4th Global Research Platform (4GRP) Workshop https://www.theglobalresearchplatform.net ● IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023) https://www.ai4health.icar.cnr.it ● Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience (RSE-eScience-2023) https://us-rse.org/rse-escience-2023/ KEY DATES ● Workshop papers submission deadline: Defined per workshop, not before end June 2023 ● Notification of acceptance: Defined per workshop ● IEEE proceedings camera ready: July 21, 2023 ● Workshop days: October 9-10, 2023 Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone. 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

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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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2025

2024

2023

2022