A Two-Level Keyphrase Extraction Approach

被引：7

作者：

Ali, Chedi Bechikh ^{[1
,2
]}

Wang, Rui ^{[3
]}

Haddad, Hatem ^{[4
]}

机构：

[1] Tunis Univ, ISG, El Manar, Tunisia

[2] Carthage Univ, INSAT, LISI Lab, Carthage, Tunisia

[3] Univ Western Australia, Sch Comp Sci & Software Engn, Nedlands, WA 6009, Australia

[4] Mevlana Univ, Fac Engn, Dept Comp Engn, Konya, Turkey

来源：

COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2015), PT II | 2015年 / 9042卷

关键词：

Keyphrase extraction; linguistic analysis; statistical approach;

D O I：

10.1007/978-3-319-18117-2_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a new two-level approach to extract KeyPhrases from textual documents. Our approach relies on a linguistic analysis to extract candidate KeyPhrases and a statistical analysis to rank and filter the final KeyPhrases. We evaluated our approach on three publicly available corpora with documents of varying lengths, domains and languages including English and French. We obtained improvement of Precision, Recall and F-measure. Our results indicate that our approach is independent of the length, the domain and the language.

引用

页码：390 / 401

页数：12

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