---
title: "Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction"
authors:
  - "Benjamin Rozenfeld"
  - "Ronen Feldman"
doi: "10.5591/978-1-57735-516-8/IJCAI11-316"
url: "https://ijcai.org/proceedings/2011/316"
pdf: "https://ijcai.org/proceedings/2011/0316.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "1890-1894"
track: ""
keywords:
---

# Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction

Benjamin Rozenfeld, Ronen Feldman

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 1890-1894. DOI: [10.5591/978-1-57735-516-8/IJCAI11-316](https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316)

## 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.