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Speed and Accuracy in Shallow and Deep Stochastic Parsing

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If you have a question about this talk, please contact Diarmuid Ó Séaghdha.

At this session of the NLIP Reading Group we’ll be discussing the following paper:

Ronald M. Kaplan, Stefan Riezler, Tracy Holloway King, John T. Maxwell III , Alexander Vasserman and Richard Crouch. 2004. Speed and Accuracy in Shallow and Deep Stochastic Parsing. In Proceedings of NAACL -HLT-04.

Abstract: This paper reports some experiments that compare the accuracy and performance of two stochastic parsing systems. The currently popular Collins parser is a shallow parser whose output contains more detailed semantically relevant information than other such parsers. The XLE parser is a deep-parsing system that couples a Lexical Functional Grammar to a loglinear disambiguation component and provides much richer representations theory. We measured the accuracy of both systems against a gold standard of the PARC 700 dependency bank, and also measured their processing times. We found the deep-parsing system to be more accurate than the Collins parser with only a slight reduction in parsing speed.

This talk is part of the Natural Language Processing Reading Group series.

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