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» An automatic semantic relationships discovery approach
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WWW
2004
ACM
14 years 5 months ago
An automatic semantic relationships discovery approach
An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relat...
Hai Zhuge, Liping Zheng, Nan Zhang 0007, Xiang Li
ACL
2008
13 years 6 months ago
Unsupervised Discovery of Generic Relationships Using Pattern Clusters and its Evaluation by Automatically Generated SAT Analogy
We present a novel framework for the discovery and representation of general semantic relationships that hold between lexical items. We propose that each such relationship can be ...
Dmitry Davidov, Ari Rappoport
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 5 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
ACL
2009
13 years 3 months ago
Employing Topic Models for Pattern-based Semantic Class Discovery
A semantic class is a collection of items (words or phrases) which have semantically peer or sibling relationship. This paper studies the employment of topic models to automatical...
Huibin Zhang, Mingjie Zhu, Shuming Shi, Ji-Rong We...
NAACL
2003
13 years 6 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith