Finally, an aggregator is applied over the enhanced aspect embeddings to distill a dense vector embedding for the classification task.
we aim to extract embeddings which encode both contextual and dependency information between a specific aspect expression and opinion words, providing supervisory signals for the aspect-based classification task.