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Hybrid Deep Question Answering
Thesis title in Czech:
Hybridní hluboké metody pro automatické odpovídání na otázky
Thesis title in English:
Hybrid Deep Question Answering
Key words:
Odpovídání na otázky, odpovídání na otázky na úrovni slov, odpovídání na otázky na úrovni vět, neuronová síť, znalostní graf, konvoluční neuronová síť, rekurentní neuronová síť, vztah konstituentů
English key words:
Question Answering, Word-level Question Answering, Sentence-level Question Answering, Neural Network, Knowledge Graph, Convolution Neural Network, Recurrent Neural Network, Constituency Relation
Academic year of topic announcement:
2014/2015
Thesis type:
dissertation
Thesis language:
angličtina
Department:
Institute of Formal and Applied Linguistics (32-UFAL)
Supervisor:
RNDr. Martin Holub, Ph.D.
Author:
hidden - assigned and confirmed by the Study Dept.
Date of registration:
20.01.2016
Date of assignment:
20.01.2016
Confirmed by Study dept. on:
20.01.2016
Date and time of defence:
05.02.2019 13:00
Date of electronic submission: 20.11.2018
Date of submission of printed version: 21.11.2018
Date of proceeded defence:
05.02.2019
Opponents:
doc. Ing. Pavel Kordik, Ph.D.
doc. RNDr. Pavel Pecina, Ph.D.
- assigned and confirmed by the Study Dept.