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ACL
2009

Composite Kernels For Relation Extraction

8 years 10 months ago
Composite Kernels For Relation Extraction
The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how different kernels for parse trees can be combined to improve the relation extraction quality. On a public benchmark dataset the combination of a kernel for phrase grammar parse trees and for dependency parse trees outperforms all known tree kernel approaches alone suggesting that both types of trees contain complementary information for relation extraction.
Frank Reichartz, Hannes Korte, Gerhard Paass
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Frank Reichartz, Hannes Korte, Gerhard Paass
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