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Robust accurate statistical annotation of general text

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posted on 2023-06-07, 20:26 authored by Ted Briscoe, John Carroll
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.

History

Publication status

  • Published

Presentation Type

  • paper

Event name

3rd International Conference on Language Resources and Evaluation

Event location

Las Palmas, Gran Canaria

Event type

conference

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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