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A Pipeline Model for Bottom-Up Dependency Parsing

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A Pipeline Framework for Dependency Parsing

A Pipeline Framework for Dependency Parsing,Ming-wei Chang,Quang Do,Dan Roth

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A Pipeline Framework for Dependency Parsing (Citations: 3)


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Pipeline computation, in which a task is decomposed into several stages that are solved sequentially, is a common compu- tational strategy in natural language pro- cessing. The key problem of this model is that it results in error accumulation and suffers from its inability to correct mis- takes in previous stages. We develop a framework for decisions made via in pipeline models, which addresses these difculties, and presents and evaluates it in the context of bottom up dependency parsing for English. We show improve- ments in the accuracy of the inferred trees relative to existing models. Interestingly, the proposed algorithm shines especially when evaluated globally, at a sentence level, where our results are signicantly better than those of existing approaches.

Conference: Meeting of the Association for Computational Linguistics - ACL , 2006

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