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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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 |
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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 |