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University of Cambridge > Talks.cam > Natural Language Processing Reading Group > Speed and Accuracy in Shallow and Deep Stochastic Parsing
Speed and Accuracy in Shallow and Deep Stochastic ParsingAdd to your list(s) Download to your calendar using vCal
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. This talk is included in these lists:
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