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» Unsupervised Relation Extraction From Web Documents
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CHI
1996
ACM
15 years 1 months ago
Silk from a Sow's Ear: Extracting Usable Structures from the Web
In its current implementation, the World-Wide Web lacks much of the explicit structure and strong typing found in many closed hypertext systems. While this property has directly f...
Peter Pirolli, James E. Pitkow, Ramana Rao
68
Voted
COLING
2010
14 years 4 months ago
FactRank: Random Walks on a Web of Facts
Fact collections are mostly built using semi-supervised relation extraction techniques and wisdom of the crowds methods, rendering them inherently noisy. In this paper, we propose...
Alpa Jain, Patrick Pantel
88
Voted
DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
14 years 11 months ago
Mining Topological Relations from the Web
Topological relations between geographic regions are of interest in many applications. When the exact boundaries of regions are not available, such relations can be established by...
Steven Schockaert, Philip D. Smart, Alia I. Abdelm...
NLE
2010
218views more  NLE 2010»
14 years 8 months ago
Automatic discovery of word semantic relations using paraphrase alignment and distributional lexical semantics analysis
Thesauri, that list the most salient semantic relations between words have mostly been compiled manually. Therefore, the inclusion of an entry depends on the subjective decision o...
Gaël Dias, Rumen Moraliyski, João Cord...
73
Voted
COLING
2010
14 years 4 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman