Publication | Open Access
Acquiring disambiguation rules from text
102
Citations
9
References
1989
Year
Unknown Venue
Syntactic ParsingEngineeringPart-of-speech TaggingSemantic WebCorpus LinguisticsDisambiguation RulesText MiningAcquired RuleNatural Language ProcessingSyntaxEffective ProcedureInformation RetrievalData ScienceComputational LinguisticsGrammarLanguage StudiesMachine TranslationEntity DisambiguationKnowledge DiscoveryTerminology ExtractionSemantic ParsingShallow ParsingTreebanksLinguisticsWord-sense DisambiguationTagged Text
An effective procedure for automatically acquiring a new set of disambiguation rules for an existing deterministic parser on the basis of tagged text is presented. Performance of the automatically acquired rules is much better than the existing hand-written disambiguation rules. The success of the acquired rules depends on using the linguistic information encoded in the parser; enhancements to various components of the parser improves the acquired rule set. This work suggests a path toward more robust and comprehensive syntactic analyzers.
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