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CIKM
2005
Springer
13 years 10 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan
ACL
2009
13 years 3 months ago
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu ...
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
IS
2008
13 years 5 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
EACL
2003
ACL Anthology
13 years 6 months ago
Automatic Acquisition of Script Knowledge from a Text Collection
In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that o...
Toshiaki Fujiki, Hidetsugu Nanba, Manabu Okumura