2011 AnEnsembleModelThatCombinesSynt

• (Haffari et al., 2011) ⇒ Gholamreza Haffari, Marzieh Razavi, and Anoop Sarkar. (2011). “An Ensemble Model That Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing.” In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.

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• http://scholar.google.com/scholar?q=%22An+ensemble+model+that+combines+syntactic+and+semantic+clustering+for+discriminative+dependency+parsing%22+2011
• http://dl.acm.org/citation.cfm?id=2002736.2002873&preflayout=flat#citedby

Quotes

Abstract

We combine multiple word representations based on semantic clusters extracted from the (Brown et al., 1992) algorithm and syntactic clusters obtained from the Berkeley parser (Petrov et al., 2006) in order to improve discriminative dependency parsing in the MST-Parser framework (McDonald et al., 2005). We also provide an ensemble method for combining diverse cluster-based models. The two contributions together significantly improves unlabeled dependency accuracy from 90.82% to 92.13%.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 AnEnsembleModelThatCombinesSynt	Anoop Sarkar Gholamreza Haffari Marzieh Razavi			An Ensemble Model That Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing