Unsupervised lexicon acquisition for HPSG-based relation extraction

  • Authors:
  • Benjamin Rozenfeld;Ronen Feldman

  • Affiliations:
  • Digital Trowel and Hebrew University of Jerusalem, Israel;Digital Trowel and Hebrew University of Jerusalem, Israel

  • Venue:
  • IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The paper describes a method of relation extraction, which is based on parsing the input text using a combination of a generic HPSG-based grammar and a highly focused domain-and relation-specific lexicon. We also show a method of unsupervised acquisition of such a lexicon from a large unlabeled corpus. Together, the methods introduce a novel approach to the "Open IE" task, which is superior in accuracy and in quality of relation identification to the existing approaches.