Online statistics for a unification-based dialogue parser

Authors:
Micha Elsner;Mary Swift;James Allen;Daniel Gildea
Affiliations:
University of Rochester, Rochester, NY;University of Rochester, Rochester, NY;University of Rochester, Rochester, NY;University of Rochester, Rochester, NY
Venue:
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Year:
2005

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Abstract

We describe a method for augmenting unification-based deep parsing with statistical methods. We extend and adapt the Bikel parser, which uses head-driven lexical statistics, to dialogue. We show that our augmented parser produces significantly fewer constituents than the baseline system and achieves comparable bracketing accuracy, even yielding slight improvements for longer sentences.