Robust stochastic parsing using the inside-outside algorithm

Briscoe; Ted; Waegner; Nick

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Robust stochastic parsing using the inside-outside algorithm

Briscoe·Ted·Waegner·Nick

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Abstract

The paper describes a parser of sequences of (English) part-of-speech labels which utilises a probabilistic grammar trained using the inside-outside algorithm. The initial (meta)grammar is defined by a linguist and further rules compatible with metagrammatical constraints are automatically generated. During training, rules with very low probability are rejected yielding a wide-coverage parser capable of ranking alternative analyses. A series of corpus-based experiments describe the parser's performance.

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Briscoe, Ted, Waegner, Nick. 1994-12-19. Robust stochastic parsing using the inside-outside algorithm. https://arxiv.org/abs/cmp-lg/9412006

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