Toward Building an Academic Search Engine Understanding the Purposes of the Matched Sentences in an Abstract

Li Yuan Hsu, Chia Hao Kao, I. Sheng Jheng, Hung Hsuan Chen

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper introduces an automatic approach to understand the purposes of each sentence in the abstract of an academic document. Specifically, computers can label each sentence in the abstract as being related to one or several of six aspects - 'BACKGROUND', 'OBJECTIVES', 'METHODS', 'RESULTS', 'CONCLUSIONS', and 'OTHERS'. Experimental results obtained on a real dataset show that the labeling methodology outperforms baseline methods. We also build a prototype academic search engine to demonstrate the use of this new design. Users may search for articles containing keywords related to any of these six aspects to better meet their search goals.

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文章編號9504549
頁(從 - 到)109344-109354
頁數11
期刊IEEE Access
9
DOIs
出版狀態已出版 - 2021

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