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

Citation

Goh, Hui Ngo (2013) Named entity recognition based on Verbs Associated with Human Activities (VAHA). PhD thesis, Multimedia University.

Full text not available from this repository.

Abstract

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.

Item Type: Thesis (PhD)
Additional Information: Call No.: QA76.9.N38 G64 2013
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 23 Oct 2014 03:43
Last Modified: 23 Oct 2014 03:43
URII: http://shdl.mmu.edu.my/id/eprint/5787

Downloads

Downloads per month over past year

View ItemEdit (login required)