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NAACL
2007
13 years 6 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai
ACL
2011
12 years 8 months ago
Semi-supervised Relation Extraction with Large-scale Word Clustering
We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based ...
Ang Sun, Ralph Grishman, Satoshi Sekine
IJCAT
2010
106views more  IJCAT 2010»
13 years 3 months ago
Fine grain associative feature reasoning in collaborative engineering
: This paper explores the vast domain of systematic collaborative engineering with reference to product lifecycle management approach from the angle of feature-level collaboration ...
Yong-Sheng Ma, C. H. Bong
CICLING
2010
Springer
13 years 11 months ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
TVCG
2008
135views more  TVCG 2008»
13 years 4 months ago
Relation-Aware Volume Exploration Pipeline
Volume exploration is an important issue in scientific visualization. Research on volume exploration has been focused on revealing hidden structures in volumetric data. While the i...
Ming-Yuen Chan, Huamin Qu, Ka-Kei Chung, Wai-Ho Ma...