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@ -23,6 +23,45 @@ Automatické odpovede z Wikipédie
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Vytovrenie prehľadu existujúcich systémov QA.
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Vytovrenie prehľadu existujúcich systémov QA.
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Stretnutie 10.12.2021
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- Vyskúšané https://github.com/fastforwardlabs/question_answering, zatiaľ nefunguje.
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- Mierne vylepšené texty.
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Úlohy:
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Vyskúšajte nainštalovať https://github.com/facebookresearch/DrQA do virtuálneho priostredia Anaconda.
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Ako nainštalovať https://github.com/fastforwardlabs/question_answering:
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Je potrebné mať nekoľko GB voľného miesta. Ak je Váš počítač pomalý, vytvorím Vám konto na školskom servri.
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1. Aktivujte si prázdne prostredie Anaconda.
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conda create -m qa
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conda activate qa
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2. Nainštalujte Pytorch:
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conda install pytorch=1.6 torchvision torchaudio cpuonly -c pytorch
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3. naklonujte repozitár
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git clone https://github.com/fastforwardlabs/question_answering
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cd question answering
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4. nainštalujte aplikáciu
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pip install -r requirements.txt
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5. Spustite web rozhranie
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streamlit run ./apps/wikiqa.py
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Stretnutie 12.11.2021
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Stretnutie 12.11.2021
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- Pokračuje práca na texte
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- Pokračuje práca na texte
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@ -45,6 +45,23 @@ Resources:
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- [Hate Speech Project Page](/topics/hatespeech)
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- [Hate Speech Project Page](/topics/hatespeech)
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- https://hatespeechdata.com/
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- https://hatespeechdata.com/
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- [Hate speech detection: Challenges and solutions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701757/)
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- [HateBase](https://hatebase.org/)
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- [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8)
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#### Meeting 10.12.21
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No report (just draft) was provided so far.
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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.
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When you find out something, make a reference with a number to that paper.
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You can use a bibliografic manager software. Mendeley, Endnote, Jabref.
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2. From the papers find out answers to the questions below.
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3. Pick a hatespeech dataset.
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4. Pick an approach and Python library for HS classification.
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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.
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6. Perform and evaluate experiments.
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#### Meeting 10.11.21
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#### Meeting 10.11.21
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@ -60,15 +77,15 @@ Prepare a report where you will explain:
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The report should properly cite scientific bibliographical sources.
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The report should properly cite scientific bibliographical sources.
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Use a bibliography manager software, such as Mendeley.
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Use a bibliography manager software, such as Mendeley.
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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.
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Use scientific indexes to discover literature:
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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:
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- [Scopus](https://www.scopus.com/) (available from TUKE VPN)
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- [Scopus](https://www.scopus.com/) (available from TUKE VPN)
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- [Scholar](httyps://scholar.google.com)
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- [Scholar](httyps://scholar.google.com)
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Your review can start with:
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Your review can start with:
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- [Hate speech detection: Challenges and solutions]( https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0221152#sec003)
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- [Hate speech detection: Challenges and solutions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6701757/)
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- [HateBase](https://hatebase.org/)
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- [HateBase](https://hatebase.org/)
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- [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8)
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- [Resources and benchmark corpora for hate speech detection: a systematic review](https://link.springer.com/article/10.1007/s10579-020-09502-8)
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