Vui lòng dùng định danh này để trích dẫn hoặc liên kết đến tài liệu này: https://dspace.ctu.edu.vn/jspui/handle/123456789/4211
Nhan đề: Improving Quality of Vietnamese Text Summarization Based on Sentence Compression
Tác giả: Nguyễn, Thị Thu Hà
Nguyễn, Ngọc Cương
Nguyễn, Ngọc Tú
Huỳnh, Xuân Hiệp
Từ khoá: Sentence compression
Topic modeling
Text summarization
Grid model
n-grams
Dynamic programming
Năm xuất bản: 2016
Tùng thư/Số báo cáo: (IJACSA) International Journal of Advanced Computer Science and Applications;7 .- p.362-366
Tóm tắt: Sentence compression is a valuable task in the framework of text summarization. In previous works, the sentence is reduced by removing redundant words or phrases from original sentence and tries to remain information. In this paper, we propose a new method that used Grid Model and dynamic programming to calculate n-grams for generating the best sentence compression. These reduced sentences are combined to text summarization. The experimental results showed that our method really effective and the text is grammatically, coherence and concise.
Định danh: http://dspace.ctu.edu.vn/jspui/handle/123456789/4211
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