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LREC
2008
120views Education» more  LREC 2008»
13 years 5 months ago
Exploiting the Role of Position Feature in Chinese Relation Extraction
Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based m...
Peng Zhang, Wenjie Li, Furu Wei, Qin Lu, Yuexian H...
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
ALPIT
2008
IEEE
13 years 10 months ago
Tree Kernel-Based Semantic Relation Extraction Using Unified Dynamic Relation Tree
This paper proposes a Unified Dynamic Relation Tree (DRT) span for tree kernel-based semantic relation extraction between entity names. The basic idea is to apply a variety of lin...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
ACL
2004
13 years 5 months ago
Classifying Semantic Relations in Bioscience Texts
A crucial step toward the goal of automatic extraction of propositional information from natural language text is the identification of semantic relations between constituents in ...
Barbara Rosario, Marti A. Hearst
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...