Overview of the TREC 2009 Entity Track

Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities

This paper gives an overview of our work for the TREC 2010 Entity track. The goal of the TREC Entity track is to study entity-related searches on Web data, which has not been sufficiently addressed in prior research. For both the Related Entity Finding (REF) task and the Entity List Completion (ELC) task in this track, we propose a unified probabilistic framework by incorporating the matching b...

Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities

This paper describes the details of our participation in Entity track of the TREC 2009.

Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers

This paper gives an overview of our work done for the TREC 2009 Entity track. We propose a hierarchical relevance retrieval model for entity ranking. In this model, three levels of relevance are examined which are document, passage and entity, respectively. The final ranking score is a linear combination of the relevance scores from the three levels. Furthermore, we exploit the structure of tab...

Experiments on Related Entity Finding Track at TREC 2009

Our goal in participating in the TREC 2009 Entity Track is to study whether QA list technique can help improve accuracy of the entity finding task. Also, we take a looking for homepage finding to identify homepages of an entity by training a maximum entropy classifier and a logistic regression models for three types of entity respectively.

Overview of the TREC 2010 Entity Track