74 lines
2.0 KiB
Markdown
74 lines
2.0 KiB
Markdown
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---
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title: Manohar Gowdru
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published: true
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taxonomy:
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category: [phd2024]
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tag: [lm,nlp]
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author: Daniel Hladek
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---
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# Manohar Gowdru
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Beginning of the study: 2021
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## Disertation Thesis
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in 2023/24
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Hate Speech Detection
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Goals:
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- Write a dissertaion thesis
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- Publish 2 A-class journal papers
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## Minimal Thesis
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(preliminary dissertaion and exam in 2022/23)
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Goals:
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- Provide state-of-the-art overview.
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- Formulate dissertation theses (describe scientific contribution of the thesis).
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- Prepare to reach the scientific contribution.
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- Publish 4 conference papers.
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## First year of PhD study
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Goals:
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- Provide state-of-the-art overview.
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- Read and make notes from at least 100 scientific papers or books.
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- Publish at least 2 conference papers.
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- Prepare for minimal thesis.
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First tasks:
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Prepare a report where you will explain:
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- what is hate speech detection,
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- where and why you can use hate-speech detection,
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- what are state-of-the-art methods for hate speech detection,
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- how can you evaluate a hate-speech detection system,
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- what datasets for hate-speech detection are available,
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The report should properly cite scientific bibliographical sources.
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Use a bibliography manager software, such as Mendeley.
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Create a [VPN connection](https://uvt.tuke.sk/wps/portal/uv/sluzby/vzdialeny-pristup-vpn) to the university network to have access to the scientific databses.
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Use scientific indexes to discover literature:
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- https://www.scopus.com/ (available from TUKE VPN)
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- https://scholar.google.com
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Your review can start with:
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- Hate speech detection: Challenges and solutions https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221152#sec003
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- https://hatebase.org/
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- Resources and benchmark corpora for hate speech detection: a systematic review https://link.springer.com/article/10.1007/s10579-020-09502-8
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Get to know the Python programming language
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- Read https://diveintopython3.net/
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- Install https://www.anaconda.com/
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- Try HuggingFace Transformers library https://huggingface.co/transformers/quicktour.html
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