Moreover, the event-driven attention enables dynamically highlighting important event-related parts evoking the emotions in texts.
the model utilizes the corpus-level event information by a joint attention mechanism to consider global events in corpus, which aggregates the semantic representations h = (h 1 , h 2 , ..., h N ) of an input text obtained and measures the interaction the words in the text with the event representations s = (s 1 , s 2 , ..., s K ) by the event-driven attention.