Learning context-free grammars to extract relations from text
ECAI(2008)
摘要
In this paper we propose a novel relation extraction method, based on grammatical inference. Following a semisupervised learning approach, the text that connects named entities in an annotated corpus is used to infer a context free grammar. The grammar learning algorithm is able to infer grammars from positive examples only, controlling overgeneralisation through minimum description length. Evaluation results show that the proposed approach performs comparable to the state of the art, while exhibiting a bias towards precision, which is a sign of conservative generalisation.
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关键词
semisupervised learning approach,context-free grammar,grammatical inference,conservative generalisation,annotated corpus,evaluation result,context free grammar,minimum description length,controlling overgeneralisation,novel relation extraction method,relation extraction,semi supervised learning
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