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Merge branch 'master' of git.kemt.fei.tuke.sk:KEMT/zpwiki

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Daniel Hládek 2021-12-15 16:08:45 +01:00
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39
pages/students/2019/alina_vitko/README.md
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@ -23,6 +23,45 @@ Automatické odpovede z Wikipédie
Vytovrenie prehľadu existujúcich systémov QA.
Stretnutie 10.12.2021
- Vyskúšané https://github.com/fastforwardlabs/question_answering, zatiaľ nefunguje.
- Mierne vylepšené texty.
Úlohy:
Vyskúšajte nainštalovať https://github.com/facebookresearch/DrQA do virtuálneho priostredia Anaconda.
Ako nainštalovať https://github.com/fastforwardlabs/question_answering:
Je potrebné mať nekoľko GB voľného miesta. Ak je Váš počítač pomalý, vytvorím Vám konto na školskom servri.
1. Aktivujte si prázdne prostredie Anaconda.
conda create -m qa
conda activate qa
2. Nainštalujte Pytorch:
conda install pytorch=1.6 torchvision torchaudio cpuonly -c pytorch
3. naklonujte repozitár
git clone https://github.com/fastforwardlabs/question_answering
cd question answering
4. nainštalujte aplikáciu
pip install -r requirements.txt
5. Spustite web rozhranie
streamlit run ./apps/wikiqa.py
Stretnutie 12.11.2021
- Pokračuje práca na texte

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pages/students/2021/manohar_gowdru/README.md
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@ -45,6 +45,23 @@ Resources:
- [Hate Speech Project Page](/topics/hatespeech)
- https://hatespeechdata.com/
- [Hate speech detection: Challenges and solutions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701757/)
- [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 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](https://git.kemt.fei.tuke.sk) 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
@ -60,15 +77,15 @@ Prepare a report where you will explain:
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:
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:
- [Scopus](https://www.scopus.com/) (available from TUKE VPN)
- [Scholar](httyps://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)
- [Hate speech detection: Challenges and solutions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701757/)
- [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)