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Joint Event HYBRIDS & NL4XAI
This event is a joint endeavor between the MSCA Doctoral Networks NL4XAI and HYBRIDS. The HYBRIDS project aims to equip researchers with the knowledge and tools necessary to combat disinformation. Specifically, it will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms. This network is also part of the European Union’s Horizon 2020 research and innovation program, operating under the framework of the Marie Skłodowska-Curie grant agreement.
On the first day, the Galician Business-University Foundation (FEUGA) will deliver a conference on scientific communication—the second part of which will occur on the following day—and María Pacheco, a researcher from the University of Colorado Boulder, will delve into the topic of neurosymbolic strategies. The schedule also includes tutorial sessions and a cultural visit to explore the heritage of the University of Santiago de Compostela.
On Thursday, the 21st, a roundtable discussion on the challenges posed by large-scale linguistic models will take place. The event will conclude on the final day with a course led by Martín Pereira, a Philosophy doctorate holder from USC, on corpus annotation, followed by a concluding discussion.
Click here to download the Full Programme.
Registration is closed.
Hourly Schedule
Wednesday, September 20
- 8:45 - 9:00
- Opening NL4XAI & HYBRIDS
- 9:00 - 10:45
- Science Communication-Expanding Knowledge and Practice (Part I)
- 10:45 - 11:15
- COFFEE BREAK
- 11:15 - 13:00
- Mentoring session (Part 1: Project Presentations and Group Formation)
- 13:00 - 14:30
- LUNCH
- 14:30 - 16:30
- Mentoring session (Part 2: Group Work and General Discussion:)
- 16:30 - 17:30
- An overview of neuro-symbolic strategies for natural language processing
- 18:00
- Cultural visit to the USC heritage
Thursday, September 21
- 09:00 - 10:45
- Science communication-Expanding knowledge and practice
- 10:45 - 11:15
- COFFEE BREAK
- 11:15 - 13:00
- Round table: Challenges of large language models and explainable artificialintelligence to deal with polluted information
- 13:00 - 14:30
- LUNCH
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