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pages/students/2021/manohar_gowdru/README.md

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