Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing

Kenji Sagae

11th International Conference on Parsing Technology (IWPT 2009)
Paris, France, 7th-9th October, 2009

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Summary

We present an efficient approach for discourse parsing within and across sentences, where the unit of processing is an entire document, and not a single sentence. We apply shift-reduce algorithms for dependency and constituent parsing to determine syntactic dependencies for the sentences in a document, and subsequently a Rhetorical Structure Theory (RST) tree for the entire document. Our results show that our shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art dynamic programming approach.

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