Robust accurate statistical annotation of general text

Briscoe, Ted and Carroll, John (2002) Robust accurate statistical annotation of general text. In: 3rd International Conference on Language Resources and Evaluation, Las Palmas, Gran Canaria.

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Abstract

We describe a robust accurate domain-independent approach to statistical parsing incorporated into the new release of the ANLT toolkit, and publicly available as a research tool. The system has been used to parse many well known corpora in order to produce data for lexical acquisition efforts; it has also been used as a component in an open-domain question answering project. The performance of the system is competitive with that of statistical parsers using highly lexicalised parse selection models. However, we plan to extend the system to improve parse coverage, depth and accuracy.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: John Carroll
Date Deposited: 06 Feb 2012 18:32
Last Modified: 12 Apr 2012 13:10
URI: http://sro.sussex.ac.uk/id/eprint/16994
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