Publication | Open Access
Prepositional Phrase Attachment without Oracles
30
Citations
13
References
2007
Year
Syntactic ParsingSemantic Role LabelingEngineeringSemanticsSyntactic StructureCorpus LinguisticsPrepositional Phrase AttachmentNatural Language ProcessingSyntaxComputational LinguisticsPp AttachmentPresuppositionGrammarLanguage StudiesMachine TranslationSemantic ParsingShallow ParsingParsingAttachment ResolutionTreebanksPrepositional PhraseLinguistics
Work on prepositional phrase (PP) attachment resolution generally assumes that there is an oracle that provides the two hypothesized structures that we want to choose between. The information that there are two possible attachment sites and the information about the lexical heads of those phrases is usually extracted from gold-standard parse trees. We show that the performance of reattachment methods is higher with such an oracle than without. Because oracles are not available in NLP applications, this indicates that the current evaluation methodology for PP attachment does not produce realistic performance numbers. We argue that PP attachment should not be evaluated in isolation, but instead as an integral component of a parsing system, without using information from the gold-standard oracle.
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