Abstract
Keyphrases are words that capture the main topics of a document. Extracting high- quality keyphrases can benefit various natural language processing (NLP) applications: in text summarization, keyphrases are useful as a form of semantic metadata indicating the significance of sentences and paragraphs, in which they appear; in both text categorization and document clustering, keyphrases offer a means of term dimensionality reduction, and have been shown to improve system efficiency and accuracy; and for search engines, keyphrases can supplement full-text indexing and assist users in formulating queries.
Publications
Members
- [insert_php] echo get_avatar( $id_or_email=’animeshprasad3@gmail.com’, $size=30 ); [/insert_php] Animesh Prasad (Project Lead)
- [insert_php] echo get_avatar( $id_or_email=’kanmy@comp.nus.edu.sg’, $size=30 ); [/insert_php] Min-Yen Kan (Advisor and Professor)
- Su Nam Kim (Alumni Staff)
- Minh-Thang Luong
- Thuy Dung Nguyen (Alumni Undergraduate Students)