Named entity recognition based on Verbs Associated with Human Activities (VAHA)

Motivated by a hypothesis such that there always exists verb specifically describes human being conduct, this thesis propose a NER system which aims to identify NEs that perform human activity based on verb analysis in an autonomous manner. In other words, this research attempt to identify NEs by o...

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Bibliographic Details
Main Author:	Goh, Hui Ngo
Format:	Thesis
Published:	2013
Subjects:	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software
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id	my-mmu-ep.5787
record_format	uketd_dc
spelling	my-mmu-ep.57872014-10-23T03:43:19Z Named entity recognition based on Verbs Associated with Human Activities (VAHA) 2013-06 Goh, Hui Ngo QA75.5-76.95 Electronic computers. Computer science QA76.75-76.765 Computer software Motivated by a hypothesis such that there always exists verb specifically describes human being conduct, this thesis propose a NER system which aims to identify NEs that perform human activity based on verb analysis in an autonomous manner. In other words, this research attempt to identify NEs by observing the existence of Verbs Associated with Human Activities (VAHA). VAHA architecture exhibits five significant characteristics where (i) it requires no training data for NER, thus eliminating human intervention (manually labeling data set or creating gazetteer), (ii) it is applicable to small text size and even on a single text, (iii) it is adaptable across different domains (fiction and non-fiction), (iv) it requires no gazetteer (person name list) during NER and (v) no anaphora resolution is required prior to NER. 2013-06 Thesis http://shdl.mmu.edu.my/5787/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software
spellingShingle	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software Goh, Hui Ngo Named entity recognition based on Verbs Associated with Human Activities (VAHA)
description	Motivated by a hypothesis such that there always exists verb specifically describes human being conduct, this thesis propose a NER system which aims to identify NEs that perform human activity based on verb analysis in an autonomous manner. In other words, this research attempt to identify NEs by observing the existence of Verbs Associated with Human Activities (VAHA). VAHA architecture exhibits five significant characteristics where (i) it requires no training data for NER, thus eliminating human intervention (manually labeling data set or creating gazetteer), (ii) it is applicable to small text size and even on a single text, (iii) it is adaptable across different domains (fiction and non-fiction), (iv) it requires no gazetteer (person name list) during NER and (v) no anaphora resolution is required prior to NER.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Goh, Hui Ngo
author_facet	Goh, Hui Ngo
author_sort	Goh, Hui Ngo
title	Named entity recognition based on Verbs Associated with Human Activities (VAHA)
title_short	Named entity recognition based on Verbs Associated with Human Activities (VAHA)
title_full	Named entity recognition based on Verbs Associated with Human Activities (VAHA)
title_fullStr	Named entity recognition based on Verbs Associated with Human Activities (VAHA)
title_full_unstemmed	Named entity recognition based on Verbs Associated with Human Activities (VAHA)
title_sort	named entity recognition based on verbs associated with human activities (vaha)
granting_institution	Multimedia University
granting_department	Faculty of Computing and Informatics
publishDate	2013
_version_	1747829591878139904

Named entity recognition based on Verbs Associated with Human Activities (VAHA)

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