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WEBI
2010
Springer
13 years 2 months ago
Relations Expansion: Extracting Relationship Instances from the Web
In this paper, we propose a Relation Expansion framework, which uses a few seed sentences marked up with two entities to expand a set of sentences containing target relations. Duri...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
WWW
2010
ACM
13 years 11 months ago
Entity relation discovery from web tables and links
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han,...
IJCAI
2007
13 years 6 months ago
Extracting Keyphrases to Represent Relations in Social Networks from Web
Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extract...
Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
NAACL
2004
13 years 6 months ago
Acquiring Hyponymy Relations from Web Documents
This paper describes an automatic method for acquiring hyponymy relations from HTML documents on the WWW. Hyponymy relations can play a crucial role in various natural language pr...
Keiji Shinzato, Kentaro Torisawa
ACL
2003
13 years 6 months ago
Automatic Collection of Related Terms from the Web
This paper proposes a method of collecting a dozen terms that are closely related to a given seed term. The proposed method consists of three steps. The first step, compiling cor...
Satoshi Sato, Yasuhiro Sasaki