Robust ontology acquisition from machine-readable dictionaries

Authors:
Eric Nichols;Francis Bond;Daniel Flickinger
Affiliations:
Nara Inst. of Science and Technology, Nara, Japan;NTT Communication Science Labs, Nippon Telegraph and Telephone Co., Keihanna, Japan;CSLI, Stanford University, California
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

Citing 7
Cited 5

Is there content in empty heads?

COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
An unsupervised approach to prepositional phrase attachment using contextually similar words

ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Efficient deep processing of Japanese

COLING '02 Proceedings of the 3rd workshop on Asian language resources and international standardization - Volume 12
Towards terascale knowledge acquisition

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Constraint-based RMRS construction from shallow grammars

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Acquiring an ontology for a fundamental vocabulary

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
JMdict: a Japanese-multilingual dictionary

MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources

An implemented description of Japanese: the Lexeed dictionary and the Hinoki treebank

COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Sentence comparison using robust minimal recursion semantics and an ontology

LD '06 Proceedings of the Workshop on Linguistic Distances
Synonym extraction using a semantic distance on a dictionary

TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
A Reexamination of MRD-Based Word Sense Disambiguation

ACM Transactions on Asian Language Information Processing (TALIP)
Onto.PT: Automatic Construction of a Lexical Ontology for Portuguese

Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium

Quantified Score

Hi-index	0.01

Visualization

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.