[apologies for cross-posting]
5th Summer Datathon on Linguistic Linked Open Data (SD-LLOD’23)
===============================================================
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 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
============
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 25/04/2023. At least ten travelling grantsfor
students will be provided by NexusLinguarum (covering accommodation,
meals and travel expenses), more details will appear in the datathon
website.
COVID statement
==============
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 (tentative)
======================
Registration opens: 13/02/2023
Registration closes: 25/04/2023
Notification: 4/05/2023
Datathon: 11/06/2023 to 16/06/2023
Organisers
=========
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 organiser
=============
Ana Ostroški (Institute of Croatian Language and Linguistics, Croatia)
Kristina Despot (Institute of Croatian Language and Linguistics, Croatia)
Confirmed tutors and lecturers [to be completed]
=========================================
Mehwish Alam (Institut Polytechnique de Paris, France)
Christian Chiarcos (University of Augsburg, Germany)Michael Cochez
(Vrije Universiteit Amsterdam, The Netherlands)
Dagmar Gromann (University of Vienna, Austria)
Thierry Declerck (DFKI, Germany)
Milan Dojchinovski (CTU in Prague, Czech Republic / DBpedia Association,
Germany)
Jorge Gracia (University of Zaragoza, Spain)
Max Ionov (University of Cologne, Germany)
Armando Stellato (University of Rome Tor Vergata, Italy)
Andon Tchechmedjiev (IMT École des Mines d’Alès, France)
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