by Eduardo Blanco, H C Cankaya, Dan Moldovan
Abstract:
This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introduced, with their arguments defined on an ontology of sorts. A semantic parser is used to extract these relations from noun phrases and verb argument structures. The method was successfully used in two applications: rapid customization of semantic relations to arbitrary domains and recognizing entailments.
Reference:
Composition of semantic relations: model and applications (Eduardo Blanco, H C Cankaya, Dan Moldovan), In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, Association for Computational Linguistics, 2010.
Bibtex Entry:
@inproceedings{Blanco2010,
abstract = {This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introduced, with their arguments defined on an ontology of sorts. A semantic parser is used to extract these relations from noun phrases and verb argument structures. The method was successfully used in two applications: rapid customization of semantic relations to arbitrary domains and recognizing entailments.},
author = {Blanco, Eduardo and Cankaya, H C and Moldovan, Dan},
booktitle = {Proceedings of the 23rd International Conference on Computational Linguistics: Posters},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
number = {August},
pages = {72--80},
publisher = {Association for Computational Linguistics},
title = {{Composition of semantic relations: model and applications}},
url = {http://portal.acm.org/citation.cfm?id=1944575},
year = {2010}
}