- Corpora - ELRA lists

2 researcher positions at the University of Cambridge, NLP / ML for education technology
by Andrew Caines 22 May '23

22 May '23

The Cambridge Institute for Automated Language Teaching and Assessment (ALTA) is seeking two Research Assistants or Research Associates in Natural Language Processing and Machine Learning to join their strong team of researchers in the Department of Computer Science and Technology. ALTA is a virtual institute which brings together researchers from Computer Science, Engineering, Linguistics and Language Assessment to investigate new ways of using technology to enhance language learning and to develop cutting-edge approaches to assessment which will benefit learners and teachers worldwide. The successful applicant will be working in EdTech based on LLM technology and will focus on at least one of the following areas: automated assessment of language learners, explainable models of assessment, learning-content generation, or adaptive learning. In all cases, the candidate must have a directly relevant PhD (or must be close to completion). The candidate is expected to have knowledge and experience of computational techniques relevant to natural language processing and machine learning, including an understanding and experience with pre-trained language models. The candidate will need to be confident communicating in cross-disciplinary forums. Further information: https://www.jobs.cam.ac.uk/job/40995/

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extended deadline: PhD and Postdoc position in Cognitive Modelling
by Vera Demberg 22 May '23

22 May '23

We are inviting applications for one PhD position (3 years) and a postdoctoral position (funding available 09/2023-01/2026)of acomputer scientist,computational linguistor psycholinguist,who has experience withor interest incognitive modelling for language processing (e.g., Bayesian models, and/or modelsusing cognitive architectureslike ACT-R). Thepositions will be funded as part of theERC Starting Grant "Individualized Interaction in Discourse" ofProf. Vera Demberg, at Saarland University. The goal of the position is todevelop models that capture individualdifferences in discourse and pragmatic processing. The candidatewill conduct research on the design andimplementation of cognitive models of language processingat the level of discourse and/or pragmatic processing. These models should capture individual differences in cognitionsuch as working memory, language experience, background knowledge, theory-of-mind abilities etc. The successful applicant must have excellent spoken and writtenproficiency inEnglish, and have a background in natural language processing or cognitive modelling. Applicants are requested to submit their application, including a cover letter that specifies why you would like to workon this topic and what qualifies you for it, an academic CV, a list of academic publications, yourBSc/ MSc / PhDthesis (ora current draft), copies of academic degree certificates and names of two potential references. For application to the Postdoctoral position, please quote opening number W2290, for the PhD position please quote opening number W2289. The applicationsshould be sent via emaildirectly to Prof. Vera Demberg: vera(at)coli.uni-saarland.de *The**(extended) **application deadline is**June**4th****, 202**3* Saarland University is one of the leading centres for computer science and computational linguistics in Europe, and offers adynamic and stimulating research environment.The groupis affiliated with both theDepartment of Computer Scienceand withtheDepartment of Language Scienceand Technology. Both departments are part of the Saarland Informatics Campus, which brings together 800 researchers and 2000 students from 81countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics,the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). Our researchers and students come from all over the world, and our primary working language is English. The Saarland University is an equal opportunities employer. In accordance with its policy of increasing the proportion of womenin this type of employment, the University actively encourages applications from women. Women are given preference in cases ofequal suitability, ability and professional performance. Applications from severely disabled persons will be given preferential consideration in the event of equal suitability. Part-timeemployment is generally possible. We welcome applications regardless of gender,nationality, ethnic and social origin, religion/belief, disability, age, and sexualorientation and identity. Pay grade classification is based on the particular details of the position held and the extent to which the applicant meetstherequirements of the pay grade within the TV-L salary scale. Unfortunately, costs for attending an interview at Saarland University cannot be reimbursed in principle. When you submit a job application to Saarland University you will be transmitting personal data.Please refer to our privacy noticefor information on how we collect and process personal data in accordance with Art.13 of theDatenschutz-Grundverordnung.Bysubmitting your application you confirm that you have taken note of the information in the Saarland University privacy notice.************ -- Prof. Dr. Vera Demberg Computer Science and Computational Linguistics Saarland Informatics Campus Saarland University Campus C7.2 Room 3.02 D-66123 Saarbrücken Phone: +49-681-302-70024 Sekretariat: +49-681-302-70025 Fax: +49-681-302-70026 -- You received this message because you are subscribed to the Google Groups "XPRAG Wine Gatherings" group. To unsubscribe from this group and stop receiving emails from it, send an email to xpragwine+unsubscribe(a)googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/xpragwine/f9d60192-0120-d71e-a864-1d1fe9d… <https://groups.google.com/d/msgid/xpragwine/f9d60192-0120-d71e-a864-1d1fe9d…>. For more options, visit https://groups.google.com/d/optout.

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[Computers] Invitation to Publish a Paper on "When Natural Language Processing Meets Machine Learning— Opportunities, Challenges and Solutions"
by Mr. Blink Yu 22 May '23

22 May '23

***** apologies for multiple posting **** Dear Colleagues, We are running a special issue on "When Natural Language Processing Meets Machine Learning— Opportunities, Challenges and Solutions" in journal Computers (ISSN 2073-431X, https://www.mdpi.com/journal/computers ). Dr. Lu Bai from Ulster University, Belfast BT15 1ED, UK, Prof. Dr. Huiru Zheng from Ulster University, Belfast BT15 1ED, UK, and Dr. Zhibao Wang from Northeast Petroleum University, Daqing 163318, China are editing this special issue. We are writing to invite you to contribute a paper to be published in *open access* form for this Special Issue. The combination of Natural Language Processing (NLP) and Machine Learning (ML) has led to many advancements in the field of artificial intelligence, enabling computers to understand and analyse human language. NLP focuses on the interactions between human language and computers, while ML provides algorithms and techniques to make predictions and automate tasks based on data. The opportunities presented by this combination include improved text classification, sentiment analysis, machine translation, and question-answering systems. However, the integration of NLP and ML still faces several challenges, such as the need for large amounts of annotated data for training, handling the complexity and variability of human language, and ensuring the ethical and fair use of AI systems. To overcome these challenges, NLP and ML researchers are exploring innovative solutions such as transfer learning, semi-supervised learning, and unsupervised learning methods, as well as developing techniques to handle unstructured and diverse data. Additionally, there is a growing emphasis on ensuring the accountability, transparency, and ethical use of AI systems. For more details, please visit the special issue website: https://www.mdpi.com/journal/computers/special_issues/549S2G1BUP The manuscript submission deadline is *31 December 2023*. You could send your manuscript earlier or up until the deadline. Papers will be reviewed upon receipt and published on an ongoing basis. Extended conference papers are also welcome. They should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases. Computers (http://www.mdpi.com/journal/computers) is a fully open access journal of computer science, published quarterly online by MDPI, Switzerland. It is covered by the Scopus (Elsevier, 2018 CiteScore: 3.7), ESCI (Web of Science), INSPEC and DBLP.Manuscripts are peer-reviewed and a first decision provided to authors approximately *16.5* days after submission; acceptance to publication is undertaken in *3.8* days. For further details on the submission process, please see the instructions for authors at the journal website https://www.mdpi.com/journal/computers/instructions. In the hope that this invitation receives your favorable consideration, we look forward to our future collaboration. a Dr. Lu Bai from Ulster University, Belfast BT15 1ED, UK Prof. Dr. Huiru Zheng from Ulster University, Belfast BT15 1ED, UK Dr. Zhibao Wang from Northeast Petroleum University, Daqing 163318, China -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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[Jobs] 3 Full professorships at the Tübingen AI Center
by lynn.anthonissen＠uni-tuebingen.de 22 May '23

22 May '23

The Tübingen AI Center is inviting applications for the following tenured positions: - Full Professor of Machine Learning and Intelligent Systems (2 positions) - Full Professor of ML Engineering and Technology Transfer The Tübingen AI Center is a research institution hosted by the University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems whose core machine learning faculties work together to develop more robust, efficient and accountable learning systems. Embedded in Tübingen's rapidly growing science and technology campus, the Tübingen AI Center has close ties with the newly established ELLIS Institute Tübingen, and more generally cooperates closely with the pan-European ELLIS network as well as the Cyber Valley initiative, which connects researchers with start-ups and industry in the area. Details about the positions and how to apply can be found at https://tuebingen.ai/careers. Applications should be submitted by June 14, 2023. Inquiries about the position may be directed to the Central Office of the Tübingen AI Center (lynn.anthonissen(a)uni-tuebingen.de).

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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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