A DOP Model for Semantic Interpretation

A DOP Model for Semantic Interpretation (1997)

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by Remko Bonnema , Rens Bod , Remko Scha

Venue:	Proceedings ACL/EACL-97
Citations:	31 - 13 self

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Datum	Value	Source
TITLE	A DOP Model for Semantic Interpretation	INFERENCE
AUTHOR NAME	Remko Bonnema	user correction - Legacy Corrections
AUTHOR AFFIL	Institute for Logic, Language and Computation; University of Amsterdam	user correction - Legacy Corrections
AUTHOR ADDR	Spuistraat 134, 1012 VB Amsterdam	user correction - Legacy Corrections
AUTHOR NAME	Rens Bod	user correction - Legacy Corrections
AUTHOR AFFIL	Institute for Logic, Language and Computation; University of Amsterdam	user correction - Legacy Corrections
AUTHOR ADDR	Spuistraat 134, 1012 VB Amsterdam	user correction - Legacy Corrections
AUTHOR NAME	Remko Scha	user correction - Legacy Corrections
AUTHOR AFFIL	Institute for Logic, Language and Computation; University of Amsterdam	user correction - Legacy Corrections
AUTHOR ADDR	Spuistraat 134, 1012 VB Amsterdam	user correction - Legacy Corrections
ABSTRACT	In data-oriented language processing, an annotated language corpus is used as a stochastic grammar. The most probable analysis of a new sentence is constructed by combining fragments from the corpus in the most probable way. This approach has been successfully used for syntactic analysis, using corpora with syntactic annota- tions such as the Penn Tree-bank. If a cor- pus with semantically annotated sentences is used, the same approach can also gen- erate the most probable semantic interpretation of an input sentence. The present paper explains this semantic interpretation method. A data-oriented semantic inter- pretation algorithm was tested on two semantically annotated corpora: the English ATIS corpus and the Dutch OVIS corpus.	user correction - Legacy Corrections
YEAR	1997	INFERENCE
VENUE	Proceedings ACL/EACL-97	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	159--167	INFERENCE
CITATIONS	23 found	ParsCit 1.0