A study on paragraph ranking and recommendation by topic information retrieval from biomedical literature

Heng Hui Liu, Yi Ting Huang, Jung-Hsien Chiang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

With the growing availability of full-text scientific articles, how text mining researchers utilize them has become an important issue. Although abstract and title provide accurate and summary information of article, lots of details are inevitably lost for its short space. The primary goal of the study is to utilize the advantages of abstract and full-text to ease the burden of reading. Finding essential information from abstract, using this to search and to rank paragraphs in full-text, the proposed approach recommends significant paragraphs to user for saving time of perusing whole article. Finally we evaluated the performance of our system, it outperformed the baseline approach both in human ratings and ROUGE scores.

原文English
主出版物標題ICS 2010 - International Computer Symposium
頁面859-864
頁數6
DOIs
出版狀態Published - 2010 十二月 1
事件2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan
持續時間: 2010 十二月 162010 十二月 18

出版系列

名字ICS 2010 - International Computer Symposium

Other

Other2010 International Computer Symposium, ICS 2010
國家Taiwan
城市Tainan
期間10-12-1610-12-18

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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