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[CfP] SEMANTiCS 2023 EU - Call for Workshop Papers
by Anisa Rula & Jennifer D'Souza 21 Jun '23

21 Jun '23

* We apologize if you receive multiple copies of this CFP * * For the online version of this call, please visit: https://2023-eu.semantics.cc/page/workshops * SEMANTiCS 2023 (20th-22nd September - Leipzig, Germany) is hosting an enriched collection of three workshops accepting submissions for contributions: Onto4FAIR: 3rd Workshop on Ontologies for FAIR and FAIR Ontologies Organizers: Cassia Trojahn (Institut de Recherche en Informatique de Toulouse, France), Luiz Olavo Bonino da Silva Santos (University of Twente, Leiden University Medical Centre, the Netherlands), Giancarlo Guizzardi (University of Twente, the Netherlands), Clement Jonquet (French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and Statistics for Environment and Agronomy research unit, Montpellier, France) https://onto4fair.github.io/2023-semantics.html Sem4Tra: 5th International Workshop On A Semantic Data Space For Transport Organizers: David Chaves Fraga (Senior Researcher, UPM & KULeuven), Mersedeh Sadeghi (Senior Researcher, University of Cologne), Shahrom Sohi (Researcher, WU), Julián Rojas (Postdoc Researcher, imec - IDLab UGent), Pieter Colpaert (Senior Researcher, imec - IDLab UGent) https://sem4tra2023.linkeddata.es/ NLP4KGC: 2nd Workshop on Natural Language Processing for Knowledge Graph Construction Organizers: Edlira Vakaj (Birmingham City University, Bermingham, UK), Sanju Tiwari (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Rizou Stamatia (Singular Logic, Athens, Greece), Nandana Mihindukulasooriya (IBM Research, Dublin, Ireland), Fernando Ortiz-Rodríguez (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Ryan Mcgranaghan (NASA Jet Propulsion Laboratory, California, United States) https://sites.google.com/view/2nd-nlp4kgc/home Looking forward to your submissions! With kind regards, Workshop & Tutorial Chairs

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FinTOC 2023 Call For Participation
by FinTOC SharedTask 21 Jun '23

21 Jun '23

Please find the FINTOC 2023 Shared Task Call for Participation below. Apologies for cross-posting. With best wishes, FinTOC 2023 Shared Task organizing committee --- Call for participation: FNP-2023 Shared Task: FinTOC - Financial Document Structure Extraction Practical Information: To be held as part of the 5th Financial Narrative Processing Workshop (FNP 2023) <https://wp.lancs.ac.uk/cfie/fnp2023/>during the 2023 IEEE International Conference on Big Data (IEEE BigData 2023) <http://bigdataieee.org/BigData2023/>, Sorrento, Italy, from 15th December to 18th December, 2023. It is a one-day event of which the exact date is to be announced. =================== Shared Task URL: http://wp.lancs.ac.uk/cfie/fintoc2023/ <http://wp.lancs.ac.uk/cfie/fintoc2022/> Workshop URL: https://wp.lancs.ac.uk/cfie/fnp2023/ Participation Form: https://docs.google.com/forms/d/e/1FAIpQLSdqUKy3YGho0Cw2GF__VHilHZZbR75UDG3… ___________________________________________________________ Shared Task Description: A vast and continuously growing volume of financial documents are being created and published in machine-readable formats, predominantly in aPDF format. Unfortunately, these documents often lack comprehensive structural information, presenting a challenge for efficient analysis and interpretation. Nevertheless, these documents play a crucial role in enabling firms to report their activities, financial situation, and investment plans to shareholders, investors, and the financial markets. They serve as corporate annual reports, offering detailed financial and operational information. In certain countries like the United States and France, regulators such as the SEC (Securities and Exchange Commission) and the AMF (Financial Markets Authority) have implemented requirements for firms to adhere to specific reporting templates. These regulations aim to promote standardization and consistency across firms' disclosures. However, in various European countries, management typically possesses more flexibility in determining what, where, and how to report financial information, resulting in a lack of standardization among financial documents published within the same market. Although there has been some research conducted on the recognition of books and document table of contents (TOC), most of the existing work has focused on small-scale, application-dependent and domain-specific datasets. This limited scope poses challenges when dealing with a vast collection of heterogeneous documents and books, where TOCs from different domains exhibit significant variations in visual layout and style. Consequently, recognizing and extracting TOCs becomes an intricate problem. Indeed, in comparison to regular books that are typically provided in a full-text format with limited structural information such as pages and paragraphs, financial documents possess a more complex structure. They consist of various elements, including parts, sections, sub-sections, and even sub-sub-sections, incorporating both textual and non-textual content. Thus, TOC pages are not always present to help readers navigate the document, and when they are, they often only provide access to the main sections. In this shared task, our objective is to undertake the analysis of various types of financial documents, encompassing KIID (Key Investor Information Document), Prospectus (official PDF documents where investment funds meticulously describe their characteristics and investment modalities), Réglement and Financial Annual Reports/Financial Statements (that provide a detailed overview of a company's financial performance and operations over the course of a fiscal year). These documents play a vital role in providing crucial information to investors, stakeholders, and regulatory bodies. While the content they must contain is often prescribed and regulated, their format lacks standardization, leading to a significant degree of variability. The presentation styles range from plain text format to more visually rich and data-driven graphical and tabular representations. Notably, the majority of those documents are published without a table of contents . A TOC is typically essential for readers as it enables easy navigation within the document by providing a clear outline of headers and corresponding page numbers. Additionally, TOCs serve as a valuable resource for legal teams, facilitating the verification of the inclusion of all the required contents. Consequently, the automated analysis of these documents to extract their structure is becoming increasingly useful for numerous firms worldwide. Our primary focus for this edition is to expand the extraction of table of contents to a wider variety of financial documents, and the task will involve developing highly efficient algorithms and methodologies to address the challenges associated with such a dataset. Our aim is to achieve a level of generalization ensuring that the developed system can be applied to different types of financial documents. This broader scope allows us to explore the applicability of our methodologies across a range of financial document categories, such as KIID, Prospectus, Réglement and Financial Annual Reports/Financial Statements. This way, we want to demonstrate the versatility and effectiveness of the ML algorithms used in TOC extraction, enabling a streamlined and consistent approach across various financial document types. In addition, for this edition, we are excited to introduce a dataset that goes beyond textual annotations. Our proposed dataset will include visual (spatial) annotations that capture the coordinates of the titles and hierarchical structure of the documents. This comprehensive approach enables a more holistic analysis and understanding of financial documents. By incorporating visual annotations, we can capture the visual cues and design elements that contribute to the overall structure and organization of the documents. This allows us to delve deeper into the visual representation of the table of contents and extract valuable insights from the visual hierarchy present in these financial documents. The combination of textual and visual annotations provides a richer and more nuanced dataset, making it possible to increase the accuracy and effectiveness of the machine learning algorithms and methodologies employed in TOC extraction. Thanks to the contribution of the Autonomous University of Madrid (UAM, Spain), the fifth edition of the FinTOC Shared Task welcomes a specific track for Spanish documents, continuing from the previous edition. In this edition, systems will be scored based on their performance in both Title detection and TOC generation using more precise evaluation metrics based on visual annotations. Participants are required to register for the Shared Task. Once registered, all participating teams will receive a common training dataset consisting of PDF documents along with the associated TOC annotations. To participate please use the registration form below to add details about your team: https://docs.google.com/forms/d/e/1FAIpQLSdqUKy3YGho0Cw2GF__VHilHZZbR75UDG3… (now open as of 06/01/2023) _____________________________________________ - 1st Call for papers & shared task participants: June 12, 2023 - 2nd Call for papers & shared task participants: July 17, 2023 - Final Call for papers & shared task participants: August 17, 2023 - Training set release: August 21, 2023 - Blind test set release: September 21, 2023 - Systems submission: October 03, 2023 - Release of results: October 09, 2023 - Paper submission deadline: October 18, 2023 (anywhere in the world) - Notification of paper acceptance to authors: November 01, 2023 - Camera-ready of accepted papers: November 15, 2023 - Workshop date (1 day event) : December 15-18, 2023 (exact date to be announced) _____________________________________________ Contact: For any questions on the shared task please contact us on: fin.toc.task(a)gmail.com _____________________________________________ Shared Task Organizers: - Abderrahim Ait Azzi, 3DS Outscale (ex Fortia), France - Sandra Bellato, 3DS Outscale (ex Fortia), France - Blanca Carbajo Coronado, Universidad Autónoma de Madrid - Dr Ismail El Maarouf, Imprevicible - Dr Juyeon Kang, 3DS Outscale (ex Fortia), France - Prof. Ana Gisbert, Universidad Autónoma de Madrid - Prof. Antonio Moreno Sandoval, Universidad Autónoma de Madrid

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ACL 2023 Discounted Virtual Registration
by Nedjma OUSIDHOUM 21 Jun '23

21 Jun '23

Dear corpora list members, ACL is offering discounted registration waivers for researchers who would not attend the event otherwise ( https://2023.aclweb.org/registration/discounted_virtual_registration) . Please fill out this form <https://forms.office.com/Pages/ResponsePage.aspx?id=DQSIkWdsW0yxEjajBLZtrQA…> on on before June 28th. The notifications will be sent on July 5th. Please note that these are different from the D&I subsidies, see https://2023.aclweb.org/registration/ for more detail. Kind regards, The ACL 2023 D&I Chairs.

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Doctoral student in NLP at Språkbanken, University of Gothenburg, Sweden
by Elena Volodina 20 Jun '23

20 Jun '23

Dear all, (Apologies for cross-posting) This is a reminder that we are looking for a PhD student in NLP to work with us in the project on automatic pseudonymization of Swedish research data (within the project Grandma Karl<https://spraakbanken.gu.se/en/projects/mormor-karl>). Application deadline: June, 27, 2023. Earliest start of the position: October, 1, 2023. Announcement in English: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Announcement in Swedish: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Please, apply or forward to those who may be interested! ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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CoCo4MT 2023 @ MT Summit 2nd Call for Papers
by John Ortega 20 Jun '23

20 Jun '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/shared-task) 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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GameQA: Gamified Mobile App Platform for Building Multiple-Domain Question-Answering Datasets
by Hrafn Loftsson 20 Jun '23

20 Jun '23

Dear Corpora list members: The Language and Voice Lab (LVL; https://lvl.ru.is/) at Reykjavik University, has developed GameQA -- a gamified mobile app platform for building multiple-domain question-answering (QA) datasets. GameQA has been used to build an Icelandic QA dataset, consisting of about 20,700 peer-reviewed questions of which about 12,700 were answered and reviewed. The technology behind GameQA, as well as the data collection process, is described in the following EACL 2023 paper: https://aclanthology.org/2023.eacl-demo.18/ The source code for GameQA is open and free and LVL has compiled instructions on how to localize it for other languages (https://gameqa.app/). If you are interested in using GameQA for gathering a QA dataset for a particular language, feel free to contact us at gameqa(a)ru.is<mailto:gameqa@ru.is> -- we would be excited to assist you! Regards, Hrafn Loftsson, Ph.D., www.ru.is/~hrafn<http://www.ru.is/~hrafn> Dósent | Associate Professor Tölvunarfræðideild | Department of Computer Science Tæknisvið | School of Technology Háskólinn í Reykjavík | Reykjavik University

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PhD Training: The Multilingual Workplace and Multilingual Society
by Gisle Andersen 20 Jun '23

20 Jun '23

Apologies for cross-postings The Norwegian School of Economics (NHH), University of Bergen and Western Norway University of Applied Sciences welcome PhD candidates to register for the course The Multilingual Workplace and Multilingual Society offered at NHH in Bergen, Norway on 4-6 October 2023. For information about registration etc. see https://www.nhh.no/en/calendar/professional-and-intercultural-communication… Kind regards Gisle Andersen, NHH

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Deadline Extension: Workshop on Counter Speech for Online Abuse
by Abercrombie, Gavin 20 Jun '23

20 Jun '23

**Deadline extended to June 30th** Call for Papers The 1st Workshop on Counter Speech for Online Abuse: A workshop for creating, investigating and improving tools for producing and evaluating counter speech. Hate speech and abusive and toxic language are prevalent in online spaces. For example, a 2019 survey shows that in the UK 30-40% of people have experienced online abuse, and platforms like Facebook bring down millions of harmful posts every year, with the help of AI tools. While removal of such content can immediately reduce the quantity of harmful messages, it can bring about accusations of censorship and may not be effective at curbing hate in the long term. An alternative approach is to reply with counter speech, i.e. targeted responses aimed at refuting the hateful language using thoughtful and cogent reasons, and fact-bound arguments. This has been shown to be effective in influencing the behaviour of both the perpetrators of abuse and bystanders that witness the interactions, as well as providing support to victims. The sheer amount of social media data shared online on a daily basis means that hate mitigation, using counter speech, requires reliable, efficient and scalable tools. Recently, efforts have been made to curate hate countering datasets and automate the production of counter speech. However, this research field is still in its infancy, and many questions remain open regarding the most effective approaches and methods to take, as well as how to evaluate them. This first multidisciplinary workshop aims to bring together researchers from diverse backgrounds such as computer science and the social sciences, as well as policy makers and other stakeholders to attempt to understand how counter speech is currently used to tackle abuse by individuals, activists and organisations, how Natural Language Processing (NLP) and Generation (NLG) can be applied to produce counter narratives, and the implications of using large language models for this task. It will also address, but not be limited to, the questions of how to evaluate and measure the impacts of counter speech, the importance of expert knowledge from civil society in the development of counter speech datasets and taxonomies, and how to ensure fairness and mitigate the biases present in language models when generating counter speech. Topics We invite papers (long and short) on a wide range of topics, including but not limited to: • Models and methods for generating counter speech; • Dialogue agents employing counter speech to address hateful inputs, directed towards other people or the AI itself; • Human and automatic evaluation methods of counter speech tools; • Multidisciplinary studies including different perspectives on the topic such as from computer science, social science, NGOs and stakeholders; • Development of datasets and taxonomy for counter speech; • Potentials and limitations (e.g., fairness, biases) of using large language models for generating counter speech; • Social impact and empirical studies of counter speech on social media, including investigating the effectiveness and consequences on users of employing counter speech to fight online hate; • Proposals for future research on counter speech, and/or preliminary results of studies in this field We accept three types of submissions: * Regular research papers – long (8 pages) or short (4 pages); * Non-archival submissions: like research papers, but will not be included in the proceedings; * Research communications: 2-4 page abstracts summarising relevant research published elsewhere. Submission link: https://softconf.com/n/cs4oa2023 Location: co-located with SIGdialxINLG, Prague, Czechia Important dates All deadlines are Anywhere on Earth (UTC-12) * Submission deadline: Jun 26, 2023 30 Jun 2023 * Notification of acceptance Jul 17, 2023 19 Jul 2023 * Camera-ready deadline Aug 11, 2023 * Workshop date: September 11 2023 Format and Styling Submissions should follow ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines> and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at https://2023.aclweb.org/calls/style_and_formatting/<https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip>. Organising Committee: * Yi-Ling Chung, The Alan Turing Institute * Gavin Abercrombie, Heriot-Watt University * Helena Bonaldi, Fondazione Bruno Kessler * Marco Guerini, Fondazione Bruno Kessler Contact If you have any questions, please let us know at cs4oa(a)googlegroups.com Website: https://sites.google.com/view/cs4oa Twitter: @cs4oa_workshop<https://twitter.com/cs4oa_workshop> ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Last Mile for Paper Submission
by georgeangelos60＠gmail.com 20 Jun '23

20 Jun '23

*** Last Mile for Paper Submission *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) Submission Deadline: Abstracts by June 25, 2023; Full Papers by July 2, 2023 AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry’s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: • Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities • Blockchains for Service-Oriented and Cloud Computing • Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing • Business processes, e.g., service-based workflow deployment and management • Cloud interoperability, service and Cloud standards • Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT • Cloud-native architectures and paradigms, e.g., microservices and DevOps • Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. • Deployment, composition, and management of applications in Service-Oriented and Cloud Computing • Foundations and formal methods for Service-Oriented and Cloud Computing • Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics • Model-Driven Engineering for Service-Oriented and Cloud Computing • Multi-Cloud, cross-Cloud, and federated Cloud solutions • Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing • Semantic services and service mining • Service and Cloud middlewares and platforms • Software/service adaptation and evolution in Service-Oriented and Cloud Computing • Storage, computation and network Clouds • Sustainability and energy issues in Service-Oriented and Cloud Computing • Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing • Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing • Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds • Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES • Submission of abstracts: June 25th, 2023 (AoE) • Submission of full papers: July 2nd, 2023 (AoE) • Notification to authors: August 4th, 2023 (AoE) • Camera-ready versions due: August 21st, 2023 (AoE) • Author registration due: August 21st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: • Regular Research Papers (15 pages including references) • PhD Symposium (12 pages including references) • Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC’s scope) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs). They must be submitted to the EasyChair site at:  https://easychair.org/conferences/?conf=esocc2023 by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair • George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) Program Chairs • Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) • Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/

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Emerging Researcher: Data Analyst (British Council)
by Felice, Mariano (Exams) 20 Jun '23

20 Jun '23

An opportunity to join the Assessment Research Group at the British Council as Emerging Researcher: Data Analyst. Full details and link to application here: https://careers.britishcouncil.org/job/Emerging-Researcher-Data-Analyst/946… For any enquiries, please contact Dr Karen Dunn at Karen.Dunn(a)britishcouncil.org<mailto:Karen.Dunn@britishcouncil.org>. Application deadline is 2nd July. The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.

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2025

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Corpora