Machine learning and natural language processing
8. Poster session
Presentation format:
- Teaser presentation
- A couple of slides summarising the research/publication you want to introduce - what's the problem it tackles, why is the problem important, why no one solved it before, what's the gist of the solution?
- Duration max 3 minutes!!!
- A couple of slides summarising the research/publication you want to introduce - what's the problem it tackles, why is the problem important, why no one solved it before, what's the gist of the solution?
- Poster presentation
- The poster itself, presented via the projector (no need to print it physically)
- Duration max 7 minutes!!!
- Discussion
- General discussion
- Duration max 4 minutes!!!
Presenting groups:
- Group 1
- Members: Pavel Nedělník, Patrik Begáň, Samuel Gazda
- Topic: Electra: Pre-training text encoders as discriminators rather than generators
- Group 2
- Members: Marc Monfort Muñoz, Aigerim Bilyalova, Arman Sakibekov, Emre Karyagdi
- Topic: Automatic Detection of Fake News
- Group 3
- Members: Jakub Pekár, Jonáš Tichý, Kryštof Zamazal
- Topic: Unsupervised Machine Translation Using Monolingual Corpora Only
- Group 4
- Members: Samuel Šuľan, Heejoo Kim, Muhammad Jazim Ali
- Topic: Optimization and improvement of fake news detection using deep learning approaches for societal benefit
- Group 5
- Members: Nakul Gupta, Tanmay Rakhe, Himanshu Sharma, Himanshu Kasana
- Topic: Support Vector Machines for Spam Categorization