[sorry about cross-posting]
The 5th Summer Datathon on Linguistic Linked Open Data (SD-LLOD-23)will be held physically from June 11thto June 16rd2023 at Castle Luznica, Zaprešić, Croatia. See https://datathon2023.jezik.hr/ https://datathon2023.jezik.hr/. The event has no registration feeand offers over twenty travelling grants for participants.
The SD-LLOD datathon has the main goal of providing practical knowledge to people from industry and academia in the application of Linked Open Data technology to Linguistics and Language Technology. The ultimate goal is to enable participants to migrate their own (or other’s) linguistic data and publish them as Linked Data on the Web and/or develop applications on top of Linguistic Linked Data (LLD). One of the main focus points this year will be the use ofdeep learning and neural approaches to/from LLD.
This datathon series is unique in its topic worldwide and continues from the success of the previous editions in 2015 and 2017 in Cercedilla (Spain), 2019 in Dagstuhl (Germany), and 2022 in Cercedilla again. This edition is supported by COST (European Cooperation in Science and Technology) https://cost.eu/ https://cost.eu/through NexusLinguarum, the “European network for Web-centred linguistic data science” COST Action (CA18209, https://nexuslinguarum.eu/ https://nexuslinguarum.eu/).
During the datathon, participants will be able to:
* Generate their own Linguistic Linked Data from existing data sources, using visual toolslike VocBench and community standards like OntoLex lemon
* Applysemantic technologies(linked data, knowledge graphs, RDF, SPARQL) to the field of language resources and learn about their benefits and applications for specific use cases, particularly those involving multilingual and/or multimodal aspects.
* Explore the potential use of embeddings, machine learning, and deep learningtechniques in combination with Linguistic Linked Data. For instance:
* Neural machine translation from Natural Language to SPARQL
* Generating natural language from knowledge graphs
* Acquiring relations with neural language models
The program of the summer datathon will contain three types of sessions:
1. Seminars to explain theoretical aspects and discuss selected topics.
2. Hands-on sessionsto introduce the basic foundations of each topic, method, and technique, which participants will apply directly through different practical assignments.
3. Datathon sessions,where participants will work, in groups of 3-5, on miniprojects and where they will apply what they have learned, involving the generation and/or use of Linguistic Linked Data.
Participants are invited to propose a “miniproject” related to the topics of the datathon, which might include some datasets for their conversion into linked data. In this edition, we particularly encourage miniprojects that involve interaction with machine learning, deep learning, or embeddings techniques. A selection of proposals will form the basis for the miniprojects which the participants will work on during the datathon sessions. Participants who do not propose a miniproject, or whose miniproject is not selected, will be able to join another miniproject. There will be an award for the best miniproject.
Registration
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The datathon is a sponsored event, and it hasno registration fee, but participants are expected to cover the cost of their meals and accommodation at the castle residence. Details about the registration can be found at the datathon website: https://datathon2023.jezik.hr/ https://datathon2023.jezik.hr/
Registration will close on 1/05/2023. More than twenty travelling grantswill be provided by NexusLinguarum (covering accommodation, meals and travel expenses). See the datathon website for more details.
COVID statement
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The datathon is planned as a physical event. The local organisation is committed to guaranteeing a safe event. Note that there might be some COVID rules to comply with at the time of celebration of the event. These will be announced in due course.
Important dates
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Registration opens: 13/02/2023
Registration closes: 1/05/2023 (extended)
Notification: 5/05/2023
Datathon: 11/06/2023 to 16/06/2023
Organisers
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Jorge Gracia (University of Zaragoza, Spain)
Christian Chiarcos (University of Augsburg, Germany)Dagmar Gromann (University of Vienna, Austria)
Thierry Declerck (DFKI, Germany)
Milan Dojchinovski (CTU in Prague, Czech Republic / DBpedia Association, Germany)
Local organisers
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Ana Ostroški (Institute of Croatian Language and Linguistics, Croatia)
Kristina Despot (Institute of Croatian Language and Linguistics, Croatia)
Tutors and lecturers
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Mehwish Alam (Institut Polytechnique de Paris, France)
Christian Chiarcos (University of Augsburg, Germany)Michael Cochez (Vrije Universiteit Amsterdam, The Netherlands)
Hugo Gonçalo Oliveira (University of Coimbra, Portugal)
Dagmar Gromann (University of Vienna, Austria)
Thierry Declerck (DFKI, Germany)
Milan Dojchinovski (CTU in Prague, Czech Republic / DBpedia Association, Germany)
Katerina Gkirtzou (Athena Research Center, Greece)
Jorge Gracia (University of Zaragoza, Spain)
Max Ionov (University of Cologne, Germany)
Diego Moussallem (Paderborn University)
Armando Stellato (University of Rome Tor Vergata, Italy)
Andon Tchechmedjiev (IMT École des Mines d’Alès, France)