A named entity recognition for Filipino Text (NERF)

In this study the researcher developed a system that will recognize named entities in Filipino texts. A handcrafted rule based on the Filipino pattern was constructed and was used for recognizing the entities. A gazetteer list also was used to help recognizing the named entities in the text. The rec...

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Main Author: Sagum, Ria Ambrocio
Format: text
Language:English
Published: Animo Repository 2012
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Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/4138
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10976/viewcontent/CDTG005148_P.pdf
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_masteral-10976
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-109762022-03-25T02:00:19Z A named entity recognition for Filipino Text (NERF) Sagum, Ria Ambrocio In this study the researcher developed a system that will recognize named entities in Filipino texts. A handcrafted rule based on the Filipino pattern was constructed and was used for recognizing the entities. A gazetteer list also was used to help recognizing the named entities in the text. The recognizer was tested in different types of text, formal and informal. The system was evaluated through Precision, Recall and F-measure. An Error Rate was considered as well in analyzing the performance of the recognizer. The result of the systems evaluation was considered acceptable. 2012-03-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/4138 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10976/viewcontent/CDTG005148_P.pdf Master's Theses English Animo Repository Discourse analysis Computer Sciences Software Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Discourse analysis
Computer Sciences
Software Engineering
spellingShingle Discourse analysis
Computer Sciences
Software Engineering
Sagum, Ria Ambrocio
A named entity recognition for Filipino Text (NERF)
description In this study the researcher developed a system that will recognize named entities in Filipino texts. A handcrafted rule based on the Filipino pattern was constructed and was used for recognizing the entities. A gazetteer list also was used to help recognizing the named entities in the text. The recognizer was tested in different types of text, formal and informal. The system was evaluated through Precision, Recall and F-measure. An Error Rate was considered as well in analyzing the performance of the recognizer. The result of the systems evaluation was considered acceptable.
format text
author Sagum, Ria Ambrocio
author_facet Sagum, Ria Ambrocio
author_sort Sagum, Ria Ambrocio
title A named entity recognition for Filipino Text (NERF)
title_short A named entity recognition for Filipino Text (NERF)
title_full A named entity recognition for Filipino Text (NERF)
title_fullStr A named entity recognition for Filipino Text (NERF)
title_full_unstemmed A named entity recognition for Filipino Text (NERF)
title_sort named entity recognition for filipino text (nerf)
publisher Animo Repository
publishDate 2012
url https://animorepository.dlsu.edu.ph/etd_masteral/4138
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/10976/viewcontent/CDTG005148_P.pdf
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