Neural Networks for Part-of-Speech Tagging
The aim of this thesis is to explore the viability of artificial neural networks using a purely contextual word representation as a solution for part-of-speech tagging. Furthermore, the effects of deep learning and increased contextual information of the network are explored. This was achieved by cr...
Main Author: | Strandqvist, Wiktor |
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Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Institutionen för datavetenskap
2016
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Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129296 |
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