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Last CfP and deadline extension: Linguistic Insights from and for Multimodal Language Processing Workshop @KONVENS 2023
by Ozge Alacam 06 Jul '23

06 Jul '23

Apologies for cross-posting ------------------------------------------------------ Dear colleagues, We invite you to submit to the first edition of our workshop on "Linguistic Insights from and for Multimodal Language Processing" that will be co-located with KONVENS 2023 in Ingolstadt. The deadline is extended by a week until July 14th, 2023. We are looking forward to your contribution. Our website is available at https://sites.google.com/view/limo2023/home Please find the last CfP below. Best wishes, LIMO 2023 organizers ------------------------------------------------------ Last Call for Papers: Linguistic Insights from and for Multimodal Language Processing @KONVENS 2023 Processing multimodal information (like visual representations of the environment, auditory cues, images, gestures, gaze etc.) and integrating them is a constant and effortless process in human language processing. Recent progress in the area of language & vision, large-scale visually grounded language models, and multimodal learning have led to breakthroughs in challenging multimodal NLP applications like image–text retrieval, image captioning or visual question answering. Yet, modeling the semantics and pragmatics of situated language understanding and generation and, generally, language processing beyond the linguistic context, i.e. in combination with multiple other modalities, is still one of the biggest challenges in NLP and Computational Linguistics. While there have been recent venues and workshops targeting multimodal representation learning and large-scale Language and Vision models, there is a lack of discussion in the community that focuses on linguistic multimodal phenomena, domain- and task-specific analyses of multimodality and, generally, contributions of computational linguistics to multimodal learning and vice versa. With this workshop, we aim to bring together researchers who work on various linguistic aspects of multimodal language processing to discuss and share the recent advances in this interdisciplinary field. Topics of interest: ▪ New multimodal datasets and training schemes in text and dialogue ▪ Multimodal tasks and frameworks in CL ▪ Annotation of multimodal datasets ▪ Modeling and analysis of linguistic phenomena in multimodal datasets ▪ Analysis and discussion of shortcomings of existing multimodal language models ▪ Approaches to multimodality in different domains, e.g., documents, social media, visual dialogue, situated dialogue, etc. ▪ Work on cross-modal and inter-modal representations, relationships, and dependencies ▪ Opinion pieces and (theoretical) reflections on multimodality in NLP/Computational Linguistics Keynote Speakers --------------- Sandro Pezzelle, University of Amsterdam Letitia Parcalabescu, Heidelberg University Important Dates --------------- July 14, 2023 – Paper Submission Deadline (Extended) August 21, 2023 – Notification of Acceptance September 04, 2023 – Camera-ready Deadline September 22, 2023 – Workshop Day (one of these days) * All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth") Paper Submission: ----------------- All paper submissions must use the official KONVENS 2023 style templates. ▪ Long papers must not exceed eight (8) pages of content. ▪ Short papers and demonstration papers must not exceed four (4) pages of content. ▪ Non-archival abstracts must not exceed one (1) page. Organizers: --------------- Piush Aggarwal, FernUniversität in Hagen, piush.aggarwal(a)fernuni-hagen.de Özge Alaçam, Universität Bielefeld, oezge.alacam(a)uni-bielefeld.de Carina Silberer, Universität Stuttgart, carina.silberer(a)ims.uni-stuttgart.de Sina Zarrieß, Universität Bielefeld, sina.zarriess(a)uni-bielefeld.de Torsten Zesch, FernUniversität in Hagen, torsten.zesch(a)fernuni-hagen.de Contact: --------- Özge Alaçam (oezge.alacam(a)uni-bielefeld.de), Piush Aggarwal (piush.aggarwal(a)fernuni-hagen.de) Workshop webpage: https://sites.google.com/view/limo2023/home KONVENS 2023 webpage: https://www.thi.de/konvens-2023/

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Fwd: [OM-2023] 2nd CFP: 18th workshop on Ontology Matching collocated with ISWC
by Cassia 05 Jul '23

05 Jul '23

The 18th International Workshop on ONTOLOGY MATCHING (OM-2023) http://om2023.ontologymatching.org/ November 6th or 7th, 2023, International Semantic Web Conference (ISWC) Workshop Program, Athens, Greece BRIEF DESCRIPTION AND OBJECTIVES Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data interlinking, query answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate. The workshop has three goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve, especially with respect to data interlinking, knowledge graph and web table matching tasks. 2. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2023 campaign: http://oaei.ontologymatching.org/2023/ 3. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as web table matching or knowledge embeddings. TOPICS of interest include but are not limited to: Business and use cases for matching (e.g., big, open, closed data); Requirements to matching from specific application scenarios; Formal foundations and frameworks for matching; Novel matching methods, including link prediction, ontology-based access; Matching and knowledge graphs; Matching and deep learning; Matching and embeddings; Matching and big data; Matching and linked data; Instance matching, data interlinking and relations between them; Privacy-aware matching; Process model matching; Large-scale and efficient matching techniques; Matcher selection, combination and tuning; User involvement (including both technical and organizational aspects); Explanations in matching; Social and collaborative matching; Uncertainty in matching; Expressive alignments; Reasoning with alignments; Alignment coherence and debugging; Alignment management; Matching for traditional applications (e.g., data science); Matching for emerging applications (e.g., web tables, knowledge graphs). SUBMISSIONS Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2023 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 6 pages. Posters/statements of interest should not exceed 3 pages. All contributions have to be prepared using the CEUR-ART, 1-column style. Overleaf page for LaTeX users is available at https://www.overleaf.com/read/gwhxnqcghhdt, while offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. Submissions should be uploaded in PDF format through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2023 Contributors to the OAEI 2023 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2023/. DATES FOR TECHNICAL PAPERS AND POSTERS: July 31st, 2023: Deadline for the submission of papers. August 28th, 2023: Deadline for the notification of acceptance/rejection. September 4th, 2023: Workshop camera ready copy submission. November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, Universidad de Málaga, Spain Jiaoyan Chen, University of Oxford, UK Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulić, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, University of Edinburgh, UK Hoa Ngo, CSIRO, Australia George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Booma Sowkarthiga, Microsoft, USA Kavitha Srinivas, IBM, USA Giorgos Stoilos, University of Oxford, UK Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondřej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China Lu Zhou, TigerGraph, USA ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Cassia

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Deepmind Academic Fellow - School of Computer Science - 3 year Post Doc vacancy leading to open position
by Mark Lee 05 Jul '23

05 Jul '23

Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £44,414 to £52,841 with potential progression once in post to £59,450 Grade 8 Full Time, Fixed Term contract up to August 2026 Closing date: 25th July 2023 Background The School of Computer Science at the University of Birmingham, UK, seeks to recruit a talented computer scientist for the role of DeepMind Academic Fellow. The Fellowship will enable an early career researcher to pursue three years of independent postdoctoral study in the fields of Computer Science (CS), Artificial Intelligence (AI) and interdisciplinary applications of AI. This Fellowship is open to early-career researchers who have recently completed a PhD in AI, CS, Machine Learning, Statistics or another relevant field. The University of Birmingham and DeepMind recognise that Black early-career researchers are particularly under-represented in this field at this level, and strongly encourage them to apply. The Deepmind Academic Fellow is funded for three years by a generous donation from Deepmind, a leading AI research organisation committed to solving intelligence to advance science and benefit humanity. The DeepMind Academic Fellowship programme is part of DeepMind’s commitment to increase diversity in AI by improving representation from currently under-represented demographic groups in academic positions in Computer Science and Artificial Intelligence at leading institutions, and to develop role models and ambassadors who will train the next generation of researchers. The Fellowship will provide opportunities to build experience and develop an independent research profile that will support the post holder in their progression into full academic or other research leadership roles in future. The Fellow will undertake an extensive Academic Development Programme of training and development opportunities related to research, teaching and knowledge transfer with time to reflect and develop, and the University will support the Fellow’s future career by transferring the Fellow to an open-ended Assistant Professor position (subject to meeting probationary criteria) following the initial three-year term. Summary of Role The Deepmind Academic Fellowship is an independent academic position and the Fellow will be expected to develop their own independent programme of research and outreach activities. The Fellow’s research will not be directed or influenced by DeepMind, but where research directions are aligned, DeepMind welcomes the opportunity to cooperate and collaborate with the Fellow. The Fellow will be invited to seminars and talks organised by DeepMind, and will be provided with opportunities for mentoring from both DeepMind researchers and academic staff at the University of Birmingham. Following the initial three-year period funded by Deepmind, the Fellow will be supported in transitioning into an open-ended Assistant Professor position (subject to meeting probationary criteria) which will include a full range of academic duties as part of a well-defined academic career framework. Informal enquires to Aad van Moorsel, email: a.vanmoorsel(a)bham.ac.uk<mailto:a.vanmoorsel@bham.ac.uk> Valuing excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working. To apply use https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… With best regards, Mark Lee Professor of Artificial Intelligence School of Computer Science University of Birmingham www.cs.bham.ac.uk/~mgl<http://www.cs.bham.ac.uk/~mgl>

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Position available in Vicomtech - NLP researcher
by Montse Cuadros 05 Jul '23

05 Jul '23

**** We apologize for the multiple copies of this email **** *Vicomtech *(www.vicomtech.org) is a privately owned Applied Research Center specialized in Computer Graphics, Visual Computing, Interaction, Communications and Multimedia, located in *Donostia - San Sebastian* and *Bilbao *(Spain). With 6 technical departments and more than 200 researchers -including more than 70 PhDs- and more than 70 scientific publications per year, Vicomtech promotes the use of the latest state-of-the-art technologies in applications that support the innovation cycle in the companies and institutions of our environment, including those of the health and biotechnology sectors. With a strong focus on applied research on industrial problems, approximately 40% of the center's activity is carried out under contract, 24% in European projects -such as Horizon Europe- and 36% from national and local grants, mostly obtained from competitive calls. We are looking for a researcher with expertise in Natural Language Processing (NLP), and at the same time motivated by the transfer of this knowledge to companies and institutions through advanced research prototypes developed to solve real needs. The successful candidate will be part of the Department of Speech and Natural Language Technologies, participating in research projects at regional, national and European level and developing and applying technology for information retrieval, named entity detection, text classification, question-answering systems, automatic summarization and natural language understanding, mainly. *Applicants must have:* - Master's degree in Natural Language Processing or equivalent. - Good programming skills in Python. - Knowledge of Machine Learning, Deep Learning and Data Analytics. - Experience in using PLN technologies in real use cases. - Good spoken and written level of Spanish and English - Motivation to acquire knowledge and new technical skills on an ongoing basis - Interest in scientific research - Proactive attitude and ability to work as a team player *We value those candidates have:* - PhD in the field of PLN or similar. - Scientific articles published in conferences and/or journals in the field. - Knowledge of generative AI with large language models or LLMs - Experience with Machine Learning tools (Numpy, Scipy, ...) and NLP (Spacy, Fastext, Flair, ...) - Knowledge and experience in Deep Learning environments (Pytorch, Tensorflow, Transformers and Hugging face). - Linux development environments, GIT, Docker and web environments (Restful APIs, ...) *We offer:* - Joining a dynamic, innovative and leading Center in the field of Artificial Intelligence and Visual Computing & Interaction at international level with work centers in Donostia and Bilbao. - Multidisciplinary work team. - Creative freedom to conduct research aligned with the Center's management procedures. - Personal development through training and educational opportunities. - Career opportunities and professional progression. - Work-life balance policies to achieve a balance between work and family life. - Equal employment opportunities. *If you feel identified with us, please send us your CV.* -- [image: Vicomtech] <https://www.vicomtech.org> Dr. Montserrat Cuadros Oller Senior Researcher Speech and Natural Language Technologies mcuadros(a)vicomtech.org +(34) 943 30 92 30 The information contained in this electronic message is intended only for the personal and confidential use of the recipients. If you have received this e-mail by mistake, please, notify us and delete it. Avoid printing this message if it is not strictly necessary.

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[CfP] DBpedia Tutorial @ LDK conference on Sept 13
by Milan Dojchinovski & Julia Holze 05 Jul '23

05 Jul '23

Dear all, We are proud to announce that we will organize a tutorial at the Language, Data and Knowledge (LDK) conference on September 13, 2023 at 9am CEST. Over the past year, the DBpedia core team has consolidated a large amount of technology around DBpedia. This tutorial is targeted for developers (in particular of DBpedia Chapters) that wish to learn how to use the core DBpedia technology and in particular the DBpedia Knowledge Graph and the DBpedia Databus publishing platform. # Highlights It will cover the following topics: * DBpedia Knowledge Graph in the Nutshell * How to use the DBpedia Databus publishing platform * How to deploy local instance of the DBpedia Databus * … with many real-world practical use cases around these technologies # Quick Facts * Web URL: https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/ <https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/> * When: September 13, 2023 at 9:00-13:00 CEST * Where: The tutorial will be organized onsite but stream will also be provided. Registration is required though. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * Databus: https://databus.dbpedia.org/ <https://databus.dbpedia.org/> # Registration * Attending the DBpedia Stack tutorial is free. Registration is required though. After the registration for the event, you will receive an email with more instructions. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * _Please keep in mind that registration closes on the 10th of July 2023._ # Organisation * Milan Dojčinovski, InfAI, DBpedia Association, CTU * Jan Forberg, InfAI, DBpedia Association * Julia Holze, InfAI, DBpedia Association * Sebastian Hellmann, InfAI, DBpedia Association We are looking forward to meeting you! Kind regards, Milan & Julia on behalf of the DBpedia Association

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Fully-funded 3-years PhD position on information extraction for scholarly documents
by Florian Boudin 04 Jul '23

04 Jul '23

Fully-funded 3-years PhD position on information extraction for scholarly documents Keywords: Information Retrieval, Natural Language Processing Funded by the French National Centre for Scientific Research (CNRS) through the NaviTerm project. Salary is approx. 1700€ per month. Funds are secured for travels to international conferences. Location : Nantes, France Starting date is flexible, starting from 2023-09-01. Profile: a university degree (MSc) in Computer Science is required, with solid experience in deep learning. Interests in Natural Language Processing, information retrieval or artificial intelligence are a definite plus. Strong programming skills (Python) and excellent English skills are expected. Fluency in French is not required for admissions. PhD's research topic: this PhD falls within the context of scientific digital libraries (e.g. arXiv, Pubmed) and will focus on developing new terminological extraction models to simplify and ease the access to scientific knowledge. More specifically, the task will be to develop automated methods for extracting and structuring key terms from a collection of scientific articles which, combined with a faceted-search engine, will offer researchers a simple and rapid means of building exertise in a new field of research. Please send applications including motivation, curriculum vitae and certificates to Florian Boudin and/or Richard Dufour and/or Béatrice Daille by email via florian.boudin(a)univ-nantes.fr and/or richard.dufour(a)univ-nantes.fr and/or beatrice.daille(a)univ-nantes.fr. If your application is accepted, you will be offered an audition.

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19th IEEE eScience Conference (eScience 2023): Last Combo Call for Workshop Papers
by georgeangelos60＠gmail.com 04 Jul '23

04 Jul '23

*** Last 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 ● 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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2nd CFP - Normalization of genetic phenotypes in Dysmorphology Physical Examination @ BioCreative VIII - track 3
by Davy Weissenbacher 03 Jul '23

03 Jul '23

*Task:* We call for automated systems to extract and normalize the findings in dysmorphology physical examinations. The dataset consists of 3136 de-identified observations with dysmorphic findings manually annotated and normalized with their corresponding Human Phenotype Ontology (HPO) terms. Both extraction and normalization are challenging. The extraction due to the descriptive style of the examinations which, for conciseness, report findings with disjoint and overlapping mentions. The normalization due to the large scale of the HPO ontology which requires a normalizer to learn the task without supervision since our training set does not provide examples of all terms in the HPO. See https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for details. *Motivation:* The dysmorphology physical examination catalogs minor morphological differences in patients’ bodies and may identify general medical signs such as neurologic dysfunction. Its findings enable correlations of patients with known rare genetic diseases and allow researchers to delineate undescribed genetic conditions. These medical findings are nearly always captured as unstructured free text within the electronic health record, making it unavailable for downstream computational analysis. Advanced Natural Language Processing methods are therefore required to retrieve the information from the records. *In short: * • 3136 de-identified observations with dysmorphic and normal findings manually annotated and normalized with their corresponding Human Phenotype Ontology terms • Baseline systems available (e.g. doc2HPO, NeuralCR, PhenoTagger, PhenoBERT, and txt2HPO) • Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351 • Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC [Apologies for cross-posting] Best regards, Davy

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Call For Participation: Machine Translation for Indian Languages (MTIL)
by Surupendu Gangopadhyay 03 Jul '23

03 Jul '23

Apologies for multiple posting *********************************** *------------------------------------------------------------------------------------------------Machine Translation for Indian Languages (MTIL) 2023------------------------------------------------------------------------------------------------* We invite all IR and NLP researchers and enthusiasts to participate in the MTIL track (https://mtilfire.github.io/mtil/2023/) held in conjunction with the Forum for Information Retrieval Evaluation (FIRE) 2023 ( http://fire.irsi.res.in/). Indian languages have many linguistic complexities. Though some Indian languages share syntactic similarities, some possess intricate morphological structures. At the same time, some Indian languages are low-resource. Therefore the machine translation models should address these unique challenges in translating between Indian languages. The MTIL track consists of two tasks: 1. *General Translation Task (Task 1):* Task participants should build a machine translation model to translate sentences of the following language pairs: 1. Hindi-Gujarati 2. Hindi-Kannada 3. Kannada-Hindi 4. Hindi-Odia 5. Odia-Hindi 6. Hindi-Punjabi 7. Punjabi-Hindi 8. Hindi-Sindhi 9. Urdu-Kashmiri 10. Telugu-Hindi 11. Hindi-Telugu 12. Urdu-Hindi 13. Hindi-Urdu 2. *Domain Specific Translation Task (Task 2)*: Task participants will build machine translation models for Governance and Healthcare domains. 1. Healthcare: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi 2. Governance: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi *Dataset:* The primary source of parallel language pairs is Bharat Parallel Corpus Collection (BPCC), released by AI4Bharat (https://ai4bharat.iitm.ac.in/bpcc ). Participants are encouraged to add datasets of their choice, including parallel corpora and monolingual datasets, to train their models. More information on registration and participation in the track can be found here: https://mtilfire.github.io/mtil/2023/ This track is being done in association with BHASHINI ( https://bhashini.gov.in/) *Organisers* - Prasenjit Majumder, DAIICT Gandhinagar,India and TCG CREST, Kolkata,India - Arafat Ahsan, IIIT-Hyderabad,India - Asif Ekbal, IIT-Patna,India - Saran Pandian, DAIICT Gandhinagar,India - Ramakrishna Appicharla, IIT-Patna ,India - Surupendu Gangopadhyay, DAIICT Gandhinagar,India - Ganesh Epili, DAIICT Gandhinagar,India - Dreamy Pujara, DAIICT Gandhinagar,India - Misha Patel, DAIICT Gandhinagar,India - Aayushi Patel, DAIICT Gandhinagar,India - Bhargav Dave, DAIICT Gandhinagar,India - Mukesh Jha, DAIICT Gandhinagar,India

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19th IEEE eScience Conference (eScience 2023): Last Call for Poster Submission
by georgeangelos60＠gmail.com 02 Jul '23

02 Jul '23

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

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2025

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2022

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