2011 AGraphbasedAlgorithmforInducing

• (Navigli et al., 2011) ⇒ Roberto Navigli, Paola Velardi, and Stefano Faralli. (2011). “A Graph-based Algorithm for Inducing Lexical Taxonomies from Scratch.” In: Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three. doi:10.5591/978-1-57735-516-8/IJCAI11-313

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%22A+graph-based+algorithm+for+inducing+lexical+taxonomies+from+scratch%22+2011
• http://dl.acm.org/citation.cfm?id=2283696.2283715&preflayout=flat#citedby

Quotes

Abstract

In this paper we present a graph-based approach aimed at learning a lexical taxonomy automatically starting from a domain corpus and the Web. Unlike many taxonomy learning approaches in the literature, our novel algorithm learns both concepts and relations entirely from scratch via the automated extraction of terms, definitions and hypernyms. This results in a very dense, cyclic and possibly disconnected hypernym graph. The algorithm then induces a taxonomy from the graph. Our experiments show that we obtain high-quality results, both when building brand-new taxonomies and when reconstructing WordNet sub-hierarchies.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 AGraphbasedAlgorithmforInducing	Stefano Faralli Roberto Navigli Paola Velardi			A Graph-based Algorithm for Inducing Lexical Taxonomies from Scratch				10.5591/978-1-57735-516-8/IJCAI11-313		2011