Czech Question Answer Selection using Recurrent Neural Networks – Radoslav Sabol
Radoslav Sabol
Bachelor's thesis
Czech Question Answer Selection using Recurrent Neural Networks
Czech Question Answer Selection using Recurrent Neural Networks
Abstract:
Práca sa zaoberá automatizovaným výberom viet ktoré odpovedajú na otázky v českom jazyku. Modul je vyvíjaný pre systém Automatic Question Answering (AQA) pomocou databázy Simple Question Answering Dataset (SQAD). Riešenie je založené na rekurentnej neurónovej sieti, ktorá spracuje vstupnú otázku a vety zo vstupného dokumentu, a vráti z nich najpravdedpodobnejšiu odpoveď. Text práce predstavuje teoretický …moreAbstract:
This thesis describes an answer selection module optimized for the Czech language. The module is being developed for open-domain question answering system Automatic Question Answering (AQA) using the Simple Question Answering Dataset (SQAD). The solution is based on recurrent neural networks for processing the input question and answer sentences from a document, returning the most probable answer. …more
Language used: English
Date on which the thesis was submitted / produced: 26. 5. 2020
Identifier:
https://is.muni.cz/th/c0t4u/
Thesis defence
- Date of defence: 24. 6. 2020
- Supervisor: doc. RNDr. Aleš Horák, Ph.D.
- Reader: doc. Mgr. Pavel Rychlý, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Applied Informatics / Applied Informatics