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» Acquiring Hyponymy Relations from Web Documents
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ACL
2007
13 years 9 months ago
Learning to Extract Relations from the Web using Minimal Supervision
We present a new approach to relation extraction that requires only a handful of training examples. Given a few pairs of named entities known to exhibit or not exhibit a particula...
Razvan C. Bunescu, Raymond J. Mooney
IJBIDM
2011
127views more  IJBIDM 2011»
13 years 2 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
ACL
2012
11 years 9 months ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
HT
2000
ACM
13 years 11 months ago
Clustering hypertext with applications to web searching
Clustering separates unrelated documents and groups related documents, and is useful for discrimination, disambiguation, summarization, organization, and navigation of unstructure...
Dharmendra S. Modha, W. Scott Spangler
ACL
2003
13 years 8 months ago
Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
Joohui An, Seungwoo Lee, Gary Geunbae Lee