2010 ExtractingSequencesfromtheWeb

• (Fader et al., 2010) ⇒ Anthony Fader, Stephen Soderland, and Oren Etzioni. (2010). “Extracting Sequences from the Web.” In: Proceedings of the ACL 2010 Conference Short Papers.

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Cited By

• http://scholar.google.com/scholar?q=%22Extracting+sequences+from+the+web%22+2010
• http://dl.acm.org/citation.cfm?id=1858842.1858895&preflayout=flat#citedby

Quotes

Abstract

Classical Information Extraction (IE) systems fill slots in domain-specific frames. This paper reports on SEQ, a novel open IE system that leverages a domain-independent frame to extract ordered sequences such as presidents of the United States or the most common causes of death in the U.S. SEQ leverages regularities about sequences to extract a coherent set of sequences from Web text. SEQ nearly doubles the area under the precision-recall curve compared to an extractor that does not exploit these regularities.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 ExtractingSequencesfromtheWeb	Stephen Soderland Oren Etzioni Anthony Fader			Extracting Sequences from the Web