2012 ARankingFrameworkforEntityOrien

• (Raviv et al., 2012) ⇒ Hadas Raviv, David Carmel, and Oren Kurland. (2012). “A Ranking Framework for Entity Oriented Search Using Markov Random Fields.” In: Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search. doi:10.1145/2379307.2379308

Subject Headings: Markov Random Field, Entity Ranking.

Cited By

• http://scholar.google.com/scholar?q=%22A+ranking+framework+for+entity+oriented+search+using+Markov+random+fields%22+2012
• http://dl.acm.org/citation.cfm?id=2379307.2379308&preflayout=flat#citedby

Quotes

Abstract

In this work we present a general model for entity ranking that is based on the Markov Random Field approach for modeling various types of dependencies between the query and the entity. We show that this model actually extends existing approaches for entity ranking while aggregating all pieces of relevance evidences in a unified way. We evaluated the performance of our model using the INEX datasets. Our results show that our ranking model significantly out-performs leading INEX systems in the tracks of 2007 and 2008, and is equivalent to the best results achieved in the 2009 track.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 ARankingFrameworkforEntityOrien	Hadas Raviv David Carmel Oren Kurland			A Ranking Framework for Entity Oriented Search Using Markov Random Fields				10.1145/2379307.2379308		2012