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 …more
Abstract:
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

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

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky

Masaryk University

Faculty of Informatics

Bachelor programme / field:
Applied Informatics / Applied Informatics

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