Three Generative, Lexicalised Models for Statistical Parsing

Preprint

17 June 1997

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cmp-lg/9706022

Abstract

In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement. Results on Wall Street Journal text show that the parser performs at 88.1/87.5% constituent precision/recall, an average improvement of 2.3% over (Collins 96).

Keywords

STATISTICAL PARSING MODEL
MODELS FOR STATISTICAL
LEXICALISED MODELS
WALL STREET
JOURNAL
GRAMMAR

All Related Versions

Version 1, 1997-06-17, ArXiv

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