ASIUM: learning subcategorization frames and restrictions of selection (1998)
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BibTeX
@MISC{Faure98asium:learning,
author = {David Faure and Claire Nédellec},
title = {ASIUM: learning subcategorization frames and restrictions of selection},
year = {1998}
}
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Abstract
We describe in this paper the ML system, Asium, which learns subcategorization frames of verbs and ontologies from syntactic parsing of technical texts in natural language. The restrictions of selection in the subcategorization frames are filled by the concepts of the ontology. Applications requiring subcategorization frames and ontologies are crucial and numerous. The most direct applications are semantic checking of texts and syntactic parsing improvement but also text generation and translation. The input of Asium result from syntactic parsing of texts, they are subcategorization examples and basic clusters formed by head words that occur with the same verb after the same preposition (or with the same syntactical role). Asium successively aggregates the clusters to form new concepts in the form of a generality graph that represents the ontology of the domain. Subcategorization frames are learned in parallel, so that as concepts are formed, they fill restrictions of selection in the ...
