| .. | ||
| README.md | ||
| title | category | tag | ||||
|---|---|---|---|---|---|---|
| Hate Speech |
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Hate Speech Scientific Project
Goal:
- To be able to recognize parts of text that contains hate or vulgarisms.
Possible applications:
- Management of discussion forums / detection of spam or abuse.
- "Postprocessing" for biased generative language models - preventing to generate inapropriate responses.
Plan:
- Perform a review of the state-of-the-art
- Pick established (english) corpora
- Formalize the problem - classification of sentiment, recognition of topic, keyword selection,
- Propose a preliminary system, repeat existing approach.
- Create small evaluation set in Slovak
- Try multilingual/crosslingual approach. Possibility of machine translation.
- Annotate a bigger Slovak Corpus
- Recognize and publish scientific contribution
Future Tasks:
- Evaluate existing multilingual model. E.G. https://huggingface.co/Andrazp/multilingual-hate-speech-robacofi
- Translate existing English dataset into Slovak. Use OPUS English Slovak Marian NMT model. Train Slovak munolingual model.
- Train or finetune or prompt a large langauge model.
In progress tasks:
- Annotate a Twitter Dataset. Possible guidelines are: https://developers.perspectiveapi.com/s/about-the-api-training-data?language=en_US
- Annotate a Facebook Dataset. Use some other guidelines. e.g. sentence-level annotation, for context sensitive hate.
- Prepare existing Slovak Twitter dataaset, train evaluate a model.
Finished tasks:
- Perform preliminary experiments with HS detection (Bulburu)
- Prepare an anotation infrastructure for Facebook data annotation (Ferko)
- Gather Facebook data and prepare for annotation. (Ferko)
People:
- Ján Staš
- Daniel Hládek
- Zuzana Sokolová
- Vladimír Ferko
- Tetiana Mohorian
- Patrik Pokrivčák
Former participants:
Links: