University of Cambridge > > Natural Language Processing Reading Group > Speed and Accuracy in Shallow and Deep Stochastic Parsing

Speed and Accuracy in Shallow and Deep Stochastic Parsing

Add 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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity