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- W3158730704 abstract "The Named Entity Recognizer for Filipino Text is a study that aims on detecting and classifying named entities present in a given text utilizing the Filipino language. The named entities are classified into four, namely: person, place, organization, date & time. Named entities that do not fall in the four classes are tagged as etc. To measure the accuracy of the system, solving for the precision, recall, error rate, and F-Measure, and accuracy in terms of error rate was used, both for every named entity and all the named entities as a whole. The approach of the Conditional Random Field was used to classify the named entities. Filipino short stories were used for the testing of the system. The results, based on solving for the F-Measure, indicate that the system is 88.05% accurate and best in identifying named entity Organization with 0% error rate, but with an acceptable or good enough error rate for the named entity Person, Place, and Date & Time, with an average of 3.24% error rate respectively. The results, based on solving for the accuracy in terms of error rate, indicate that the system is 97.01% accurate." @default.
- W3158730704 created "2021-05-10" @default.
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- W3158730704 date "2020-11-27" @default.
- W3158730704 modified "2023-09-27" @default.
- W3158730704 title "Named-Entity Recognizer for Common Nouns in Filipino Text" @default.
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- W3158730704 doi "https://doi.org/10.1145/3442555.3442572" @default.
- W3158730704 hasPublicationYear "2020" @default.
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