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| # Dense Passage Retrieval for Open-Domain Question Answering | ||||
| ## Clanok č.1 | ||||
| 
 | ||||
| ### Dense Passage Retriever (DPR) | ||||
| @ -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: | ||||
|  | ||||
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