Robust Ontology Acquisition from Machine-Readable Dictionaries
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1111-1115.
Abstract
In this paper, we outline the development of a system that automatically constructs ontologies by extracting knowledge from dictionary definition sentences using Robust Minimal Recursion Semantics (RMRS), a semantic formalism that permits underspecification. We show that by combining deep and shallow parsing resources through the common formalism of RMRS, we can extract ontological relations in greater quality and quantity. Our approach also has the advantages of requiring a very small amount of rules and being easily adaptable to any language with RMRS resources.
@inproceedings{ijcai2005p187,
title = {Robust Ontology Acquisition from Machine-Readable Dictionaries},
author = {Nichols, Eric and Bond, Francis and Flickinger, Dan},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1111--1115},
year = {2005},
url = {https://ijcai.org/proceedings/2005/187},
}
TY - CPAPER TI - Robust Ontology Acquisition from Machine-Readable Dictionaries AU - Nichols, Eric AU - Bond, Francis AU - Flickinger, Dan T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1111 EP - 1115 UR - https://ijcai.org/proceedings/2005/187 ER -Copied
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