Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1890-1894.
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
Rozenfeld, B., & Feldman, R. (2011). Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 (pp. 1890–1894). IJCAI. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316
@inproceedings{ijcai2011p316,
title = {Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction},
author = {Rozenfeld, Benjamin and Feldman, Ronen},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1890--1894},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-316},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316},
}
TY - CPAPER TI - Unsupervised Lexicon Acquisition for HPSG-Based Relation Extraction AU - Rozenfeld, Benjamin AU - Feldman, Ronen T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1890 EP - 1894 DO - 10.5591/978-1-57735-516-8/IJCAI11-316 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-316 ER -Copied
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