From 2792a31f7e7c3400c24b1f575bfbb21f534bf4cf Mon Sep 17 00:00:00 2001 From: dano Date: Mon, 21 Feb 2022 15:09:32 +0000 Subject: [PATCH] Update 'pages/students/2021/manohar_gowdru_shridharu/README.md' --- .../2021/manohar_gowdru_shridharu/README.md | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/pages/students/2021/manohar_gowdru_shridharu/README.md b/pages/students/2021/manohar_gowdru_shridharu/README.md index ba55362a42..5b5ed5d80e 100644 --- a/pages/students/2021/manohar_gowdru_shridharu/README.md +++ b/pages/students/2021/manohar_gowdru_shridharu/README.md @@ -1,12 +1,12 @@ --- -title: Manohar Gowdru Shridharu +title: Manohar Gowdru Shridhara published: true taxonomy: category: [phd2024] tag: [lm,nlp,hatespeech] author: Daniel Hladek --- -# Manohar Gowdru Shridharu +# Manohar Gowdru Shridhara Beginning of the study: 2021 @@ -49,6 +49,16 @@ Resources: - [HateBase](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) +## Meeting 21.2.22 + +- Written a report about HS detection (in progress) + +Tasks: + +- Repair the report (rewrite copied parts, make the paragrapsh be logically ordered, teoreticaly - formaly define the HS detection, analyze te datasets in detail - how do they work. what metric do they use). + + + ## Meeting 31.1.22 - Read some blogs about transformers @@ -64,7 +74,7 @@ Open tasks: - [ ] Try to prepare an experiment with the selected dataset. - [ ] You can use the school CUDA infrastructre (idoc.fei.tuke.sk). - [ ] Set up a repository for experiments, use the school git server git.kemt.fei.tuke.sk. -- [ ] Get ready to post a paper on the school PhD conference SCYR, deadline is in the middle of February http://scyr.kpi.fei.tuke.sk/. +- [x] Get ready to post a paper on the school PhD conference SCYR, deadline is in the middle of February http://scyr.kpi.fei.tuke.sk/. ### Meeting 10.1.22 @@ -78,7 +88,7 @@ Open tasks: - [x] Continue to work on the review - with datasets and methods (specified below). - [x] Read and make notes about transformers, neural language models and finentuning. -- [x] Pick feasible dataset and method to start with. +- [ ] Pick feasible dataset and method to start with. - [ ] You can use the school CUDA infrastructre (idoc.fei.tuke.sk). - [ ] Set up a repository for experiments, use the school git server git.kemt.fei.tuke.sk. - [ ] Get ready to post a paper on the school PhD conference SCYR, deadline is in the middle of February http://scyr.kpi.fei.tuke.sk/.