A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
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 salien...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.usm.my/43757/1/SURAYA%20ALIAS.pdf |
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| Summary: | 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. |
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