published or submitted for publicationnot peer reviewe

Ganesan, Kavita

He, Jing

Lv,Yuanhua

Vydiswaran, V.G.Vinod

Zhai, ChengXiang

English

Our goal in participating in the TREC 2009 Entity Track
was to study whether relation extraction techniques can help
in improving accuracy of the entity ???nding task. Finding
related entities is informational in nature and we wanted
to explore if inducing structure on the queries helps satisfy
this information need. The research outlook we took was
to study techniques that retrieve relations between two entities from a large corpus, and from those, ???nd the most
relevant entities that participate in the given relation with
another given entity. Instead of aiming at retrieving pages
about speci???c entities, we tried to address the problem of directly ???nding the entities from the text. Our experimental
results show that we were able to ???nd many related entities
using relation-based extraction, and ranking entities based
on further evidence from the text helps to a certain extent.published or submitted for publicatio

Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track

Abstract

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Illinois Digital Environment for Access to Learning and Scholarship Repository