diff --git a/pages/students/2019/michal_stromko/vp2023/articles/DensePassageRetrieval.md b/pages/students/2019/michal_stromko/vp2023/articles/DensePassageRetrieval.md new file mode 100644 index 000000000..20a49ffb2 --- /dev/null +++ b/pages/students/2019/michal_stromko/vp2023/articles/DensePassageRetrieval.md @@ -0,0 +1,4 @@ +# Dense Passage Retrieval for Open-Domain Question Answering +## Clanok č.1 + +### Dense Passage Retriever (DPR) diff --git a/pages/students/2021/manohar_gowdru_shridharu/README.md b/pages/students/2021/manohar_gowdru_shridharu/README.md index 34ffcc1dd..86749fe07 100644 --- a/pages/students/2021/manohar_gowdru_shridharu/README.md +++ b/pages/students/2021/manohar_gowdru_shridharu/README.md @@ -37,6 +37,39 @@ Goals: - Publish 1 regular conference paper. - Prepare a demo for hate speech detection. +Meeting 5.10. + +Status: + +Studied python and ML: + - Basics to Advanced python is completed + - word2vec and word embedding examples are tried + - Basic tools (tensorflow) on Machine Learning and task are completed + - learning on ML and Deep learning libraries and fairseq RNN, SVM BERT code samples + +Building the datasets memes based on Dravidian languages: + - Collected base papers on Hate speech Multilanguage troll and not troll memes with low resource languages + +Currected the survey paper and shared for review. + +Worked on the baseline HS expriment. +- https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit + +Tasks: + +- Publish a paper on SAMI 2023 +- publish a paper on a school conference, ask for deadline. + +Possible paper topics: + +- contine to work on the baseline HS experiment. Evaluate accuracy for the classifiers. This is a possible simple publication. +- continue to work on the horsehead experiment. This is another possible paper. +- continue work on the dravidian dataset. this in another possible papers. +- continue to work on the survey paper. This is another possible Q3 paper. + + + + Meeting 6.9.2022 Status: @@ -72,6 +105,32 @@ Resources: - [Resources and benchmark corpora for hate speech detection: a systematic review] (https://link.springer.com/article/10.1007/s10579-020-09502-8) +Meeting 5.10. + +Status: + +Studied python and ML: + - Basics to Advanced python is completed + - word2vec and word embedding examples are tried + - Basic tools (tensorflow) on Machine Learning and task are completed + - learning on ML and Deep learning libraries and fairseq RNN, SVM BERT code samples + +Building the datasets memes based on Dravidian languages: + - Collected base papers on Hate speech Multilanguage troll and not troll memes with low resource languages + +Currected the survey paper and shared for review. + +Worked on a baseline HS experiment: + +https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit + + +Tasks: + +- Publish a paper about the dataset on the SAMI 2023 Conference. +- Publish a paper in school journal - ask about deadlilne. + + 14.7: Status: