Proceedings

Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction

Download BibTeX Cite

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1890-1894.

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.

Benjamin Rozenfeld, and Ronen Feldman. 2011. Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 1890–1894. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards