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2011
SIAM

Block-LDA: Jointly modeling entity-annotated text and entity-entity links

8 years 1 months ago
Block-LDA: Jointly modeling entity-annotated text and entity-entity links
We present a model that improves entity entity link modeling in a mixed membership stochastic block model, by jointly modeling links with text about the entities that are linked in the relational data. The model also correspondingly improves the modeling of text annotated with entities using externally supplied entity-entity relations. We apply the model to a protein-protein interaction (PPI) dataset supplemented by a corpus of s of scientific publications annotated with the proteins in the PPI dataset. Evaluation of the model using functional category prediction of proteins and perplexity shows improvements when joint modeling is used over baselines that uses only link or text information.
Ramnath Balasubramanyan, William W. Cohen
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where SDM
Authors Ramnath Balasubramanyan, William W. Cohen
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