Incremental Parsing with Reference Interaction
ROCHESTER UNIV NY DEPT OF COMPUTER SCIENCE
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We present a general architecture for incremental interaction between modules in a speech-to-intention continuous understanding dialogue system. This architecture is then instantiated in the form of an incremental parser which receives suitability feedback on NP constituents from a reference resolution module. Oracle results indicate that perfect NP suitability judgments can provide a labelled-bracket error reduction of as much as 42 and an efficiency improvement of 30. Preliminary experiments in which the parser incorporates feedback judgments based on the set of referents found in the discourse context achieve a maximum error reduction of 9.3 and efficiency gain of 4.6. The parser is also able to incrementally instantiate the semantics of underspecified pronouns based on matches from the discourse context. These results suggest that the architecture holds promise as a platform for incremental parsing supporting continuous understanding.