Appositions are grammatical constructs in which two noun phrases are placed side-by-side, one modifying the other. Detecting them in speech can help extract semantic information useful, for instance, for co-reference resolution and question answering. We compare and combine three approaches: word-level and phrase-level classifiers, and a syntactic parser trained to generate appositions. On reference parses, the phrase-level classifier outperforms the other approaches while on automatic parses and ASR output, the combination of the apposition-generating parser and the word-level classifier works best. An analysis of the system errors reveals that parsing accuracy and world knowledge are very important for this task.
Bibliographic reference. Favre, Benoit / Hakkani-Tür, Dilek (2009): "Phrase and word level strategies for detecting appositions in speech", In INTERSPEECH-2009, 2711-2714.