Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing (bibtex)
by Sagae, Kenji
Abstract:
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 linear-time shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art approach based on chart parsing with dynamic programming.
Reference:
Analysis of Discourse Structure with Syntactic Dependencies and Data-Driven Shift-Reduce Parsing (Sagae, Kenji), In International Conference on Parsing Technologies (IWPT-09), 2009.
Bibtex Entry:
@inproceedings{sagae_analysis_2009,
	address = {Paris, France},
	title = {Analysis of {Discourse} {Structure} with {Syntactic} {Dependencies} and {Data}-{Driven} {Shift}-{Reduce} {Parsing}},
	url = {http://ict.usc.edu/pubs/Analysis%20of%20discourse%20structure.pdf},
	abstract = {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 linear-time shift-reduce framework achieves high accuracy and a large improvement in efficiency compared to a state-of-the-art approach based on chart parsing with dynamic programming.},
	booktitle = {International {Conference} on {Parsing} {Technologies} ({IWPT}-09)},
	author = {Sagae, Kenji},
	month = oct,
	year = {2009}
}
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