forked from KEMT/zpwiki
56 lines
1.7 KiB
Markdown
56 lines
1.7 KiB
Markdown
---
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title: Hate Speech
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category: [project]
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tag: [hatespeech,nlp,nlm]
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---
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# Hate Speech Scientific Project
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Goal:
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- To be able to recognize parts of text that contains hate or vulgarisms.
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Possible applications:
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- Management of discussion forums / detection of spam or abuse.
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- "Postprocessing" for biased generative language models - preventing to generate inapropriate responses.
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Plan:
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- Perform a review of the state-of-the-art
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- Pick established (english) corpora
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- Formalize the problem - classification of sentiment, recognition of topic, keyword selection,
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- Propose a preliminary system, repeat existing approach.
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- Create small evaluation set in Slovak
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- Try multilingual/crosslingual approach. Possibility of machine translation.
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- Annotate a bigger Slovak Corpus
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- Recognize and publish scientific contribution
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Tasks:
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- Evaluate existing multilingual model. E.G. https://huggingface.co/Andrazp/multilingual-hate-speech-robacofi
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- Translate existing English dataset into Slovak. Use OPUS English Slovak Marian NMT model. Train Slovak munolingual model.
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Future tasks:
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- Annotate a Twitter Dataset. Possible guidelines are: https://developers.perspectiveapi.com/s/about-the-api-training-data?language=en_US
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- Annotate a Facebook Dataset. Use some other guidelines. e.g. sentence-level annotation, for context sensitive hate.
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- Prepare existing Slovak Twitter dataaset, trainm evaluate a model.
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People:
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- Ján Staš
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- Daniel Hládek
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- Zuzana Sokolová
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- [Vladimír Ferko](/students/2021/vladimir_ferko)
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- [Manohar Gowdru Shridharu](/students/2021/manohar_gowdru_shridharu)
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Links:
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- https://europeanonlinehatelab.com/
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- https://hatespeechdata.com/
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- https://oznacuj-dezinfo.kinit.sk/ |