Deep Neural Networks for Selected Natural Language Processing Tasks

dc.contributor.authorMartínek, Jiří
dc.date.accessioned2019-11-28T06:47:38Z
dc.date.available2019-11-28T06:47:38Z
dc.date.issued2019
dc.description.abstract-translatedThis report presents research in several tasks of the natural language processing, namely optical character recognition, text categorization and dialogue act recognition. The report is focused on modern deep neural network classifiers, which are first introduced theoretically with the support of relevant publications and then they are experimentally verified on suitable datasets. For text categorization and dialogue act recognition tasks, multi- and cross-lingual approaches are presented and evaluated. Since the importance of multi-lingual text processing is significantly growing, it is crucial to be able to process information in multiple languages. Unfortunately, there is often a lack of annotated data in some not very widespread languages, so the cross-lingual approaches are requested. Methods for optical character recognition in historical documents are presented with the main emphasis on classifiers which achieve excellent results in natural language processing tasks. Finally, the aims of the future doctoral thesis are set with regard to the recent research.en
dc.format45 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://www.kiv.zcu.cz/cz/vyzkum/publikace/technicke-zpravy/
dc.identifier.urihttp://hdl.handle.net/11025/35992
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectzpracování přirozeného jazykacs
dc.subjectoptické rozpoznávání znakůcs
dc.subjectkategorizace textucs
dc.subjectrozpoznání dialogucs
dc.subject.translatednatural language processingen
dc.subject.translatedoptical character recognitionen
dc.subject.translatedtext categorizationen
dc.subject.translateddialogue act recognitionen
dc.titleDeep Neural Networks for Selected Natural Language Processing Tasksen
dc.typereporten
dc.typezprávacs
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Martínek.pdf
Size:
3.38 MB
Format:
Adobe Portable Document Format
Description:
Plný text
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections