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README.md Update 'pages/students/2021/manohar_gowdru/README.md' 2021-12-10 12:37:50 +00:00

title published taxonomy
Manohar Gowdru Shridharu true
category tag author
phd2024
lm
nlp
hatespeech
Daniel Hladek

Manohar Gowdru Shridharu

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.

Resources:

Meeting 10.12.21

No report (just draft) was provided so far.

  1. Read papers from below and make notes what you have learned fro the papers. For each note make a bibliographic citation. Write down authors of the paper, name paper of the paper, year, publisher and other important information. When you find out something, make a reference with a number to that paper. You can use a bibliografic manager software. Mendeley, Endnote, Jabref.
  2. From the papers find out answers to the questions below.
  3. Pick a hatespeech dataset.
  4. Pick an approach and Python library for HS classification.
  5. Create a GIT repository and share your experiment files. Do not commit data files, just links how to download the files.
  6. Perform and evaluate experiments.

Meeting 10.11.21

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 to the university network to have access to the scientific databses. Use scientific indexes to discover literature:

Your review can start with:

Get to know the Python programming language