WikiRank:Improving Keyphrase Extraction Based on Background Knowledge

被引：0
|
作者：
Yu, Yang [1 ]
Ng, Vincent [1 ]
机构：
[1] Univ Texas Dallas, Human Language Technol Res Inst, Richardson, TX 75083 USA
来源：
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) | 2018年
关键词：
Keyphrase Extraction; Knowledge Graph; Semantic Graph;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Keyphrase is an efficient representation of the main idea of documents. While background knowledge can provide valuable information about documents, they are rarely incorporated in keyphrase extraction methods. In this paper, we propose WikiRank, an unsupervised method for keyphrase extraction based on the background knowledge from Wikipedia. Firstly, we construct a semantic graph for the document. Then we transform the keyphrase extraction problem into an optimization problem on the graph. Finally, we get the optimal keyphrase set to be the output. Our method obtains improvements over other state-of-art models by more than 2% in F1-score.
引用
收藏
页码：3723 / 3727
页数：5
相关论文
共 50 条
  • [1] Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction
    Hassan Alrehamy
    Coral Walker
    [J]. Soft Computing, 2018, 22 : 7041 - 7057
  • [2] Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction
    Alrehamy, Hassan
    Walker, Coral
    [J]. SOFT COMPUTING, 2018, 22 (21) : 7041 - 7057
  • [3] Keyphrase Extraction Based on Prior Knowledge
    He, Guoxiu
    Fang, Junwei
    Cui, Haoran
    Wu, Chuan
    Lu, Wei
    [J]. JCDL'18: PROCEEDINGS OF THE 18TH ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES, 2018, : 341 - 342
  • [4] Keyphrase Extraction for Islamic Knowledge Ontology
    Saad, Saidah
    Salim, Naomie
    Omar, Nazlia
    [J]. INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 1187 - +
  • [5] Keyphrase Extraction Using Knowledge Graphs
    Shi W.
    Zheng W.
    Yu J.X.
    Cheng H.
    Zou L.
    [J]. Data Science and Engineering, 2017, 2 (4) : 275 - 288
  • [6] Exploiting Description Knowledge for Keyphrase Extraction
    Wang, Fang
    Wang, Zhongyuan
    Wang, Senzhang
    Li, Zhoujun
    [J]. PRICAI 2014: TRENDS IN ARTIFICIAL INTELLIGENCE, 2014, 8862 : 130 - 142
  • [7] Incorporating Expert Knowledge into Keyphrase Extraction
    Gollapalli, Sujatha Das
    Li, Xiao-Li
    Yang, Peng
    [J]. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 3180 - 3187
  • [8] Keyphrase Extraction Using Knowledge Graphs
    Shi, Wei
    Zheng, Weiguo
    Yu, Jeffrey Xu
    Cheng, Hong
    Zou, Lei
    [J]. WEB AND BIG DATA, APWEB-WAIM 2017, PT I, 2017, 10366 : 132 - 148
  • [9] Exploiting description knowledge for keyphrase extraction
    [J]. Wang, Fang, 1600, Springer Verlag (8862):
  • [10] Keyphrase extraction from single textual documents based on semantically defined background knowledge and co-occurrence graphs
    Tosi, Mauro Dalle Lucca
    dos Reis, Julio Cesar
    [J]. International Journal of Metadata, Semantics and Ontologies, 2021, 15 (02) : 121 - 132
12345