A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer

Alias, Suraya (2018) A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer. PhD thesis, Universiti Sains Malaysia.

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Automatic Text Summarization (ATS) has benefited users in terms of identifying and extracting the most salient information from a given text with less effort. The application of Sentence Compression (SC) in ATS is to remove unimportant constituents from a summary sentence while preserving the salient ones by keeping the sentence’s grammar intact. Most previous SC techniques have a high dependency on syntactic rules and knowledge applied to individual word or phrase to cater the removal decision. Despite the ability to produce a new grammatical compressed sentence, prior approaches still suffer several drawbacks including the failure to include some significant and relevant sentences in constructing the final summary sentence.

Item Type: Thesis (PhD)
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User: ASM Ab Shukor Mustapa
Date Deposited: 25 Mar 2019 01:29
Last Modified: 12 Apr 2019 05:24
URI: http://eprints.usm.my/id/eprint/43757

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