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

pages/students/2019/alina_vitko/README.md

@@ -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

pages/students/2021/manohar_gowdru/README.md

@@ -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)