The paper proposes CHIM, a chunk-wise importance matrix for representing user and product attributes, and reports that injecting attributes into attention is generally the worst of four locations in a BiLSTM sentiment classifier.
In IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial In- telligence, Barcelona, Catalonia, Spain, July 16-22, 2011, pages 1820–1825
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Rethinking Attribute Representation and Injection for Sentiment Classification
The paper proposes CHIM, a chunk-wise importance matrix for representing user and product attributes, and reports that injecting attributes into attention is generally the worst of four locations in a BiLSTM sentiment classifier.