@jil

A shortest path dependency kernel for relation extraction

, and . Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, page 724--731. Stroudsburg, PA, USA, Association for Computational Linguistics, (2005)
DOI: 10.3115/1220575.1220666

Abstract

We present a novel approach to relation extraction, based on the observation that the information required to assert a relationship between two named entities in the same sentence is typically captured by the shortest path between the two entities in the dependency graph. Experiments on extracting top-level relations from the ACE (Automated Content Extraction) newspaper corpus show that the new shortest path dependency kernel outperforms a recent approach based on dependency tree kernels.

Description

A shortest path dependency kernel for relation extraction

Links and resources

Tags

community

  • @seb
  • @philipp
  • @sb3000
  • @hkorte
  • @dblp
  • @jil
  • @seandalai
@jil's tags highlighted