Robust ontology acquisition from machine-readable dictionaries

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Flickinger, Dan., Nichols, Eric., Bond, Francis.
Other Authors: School of Humanities and Social Sciences
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
Online Access:https://hdl.handle.net/10356/92079
http://hdl.handle.net/10220/7277
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-92079
record_format dspace
spelling sg-ntu-dr.10356-920792019-12-06T18:17:00Z Robust ontology acquisition from machine-readable dictionaries Flickinger, Dan. Nichols, Eric. Bond, Francis. School of Humanities and Social Sciences International Joint Conference on Artificial Intelligence (2005) DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics 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. Accepted version 2011-10-17T02:37:52Z 2019-12-06T18:17:00Z 2011-10-17T02:37:52Z 2019-12-06T18:17:00Z 2005 2005 Conference Paper Nichols, E., Bond, F., & Flickinger, D. (2005). Robust ontology acquisition from machine-readable dictionaries. Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-2005. https://hdl.handle.net/10356/92079 http://hdl.handle.net/10220/7277 155528 en © 2005 Proceedings of the International Joint Conference on Artificial Intelligence. 6 p.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
spellingShingle DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics
Flickinger, Dan.
Nichols, Eric.
Bond, Francis.
Robust ontology acquisition from machine-readable dictionaries
description 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.
author2 School of Humanities and Social Sciences
author_facet School of Humanities and Social Sciences
Flickinger, Dan.
Nichols, Eric.
Bond, Francis.
format Conference or Workshop Item
author Flickinger, Dan.
Nichols, Eric.
Bond, Francis.
author_sort Flickinger, Dan.
title Robust ontology acquisition from machine-readable dictionaries
title_short Robust ontology acquisition from machine-readable dictionaries
title_full Robust ontology acquisition from machine-readable dictionaries
title_fullStr Robust ontology acquisition from machine-readable dictionaries
title_full_unstemmed Robust ontology acquisition from machine-readable dictionaries
title_sort robust ontology acquisition from machine-readable dictionaries
publishDate 2011
url https://hdl.handle.net/10356/92079
http://hdl.handle.net/10220/7277
_version_ 1681047214111064064