Hello, I'm sorry to disturb you. I recently read your paper "Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification". In III.M ETHODOLOGY, A. Notation and Problem Formulation, Textual Inputs, I'm confused about dividing a sentence into three parts. If there are more than one entity in a sentence, do you want to process each entity with one sentence, as you provided the data format, instead of all the entities in one sentence. For example, "The campus of UTEC University in Peru won @RIBA’s inaugural International Prize!". There are three entities in this sentence: UTEC University, Peru and RIBA. So if I want to classify the sentiment of these three entities, I should type in three sentences instead of one, right?
Hello, I'm sorry to disturb you. I recently read your paper "Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification". In III.M ETHODOLOGY, A. Notation and Problem Formulation, Textual Inputs, I'm confused about dividing a sentence into three parts. If there are more than one entity in a sentence, do you want to process each entity with one sentence, as you provided the data format, instead of all the entities in one sentence. For example, "The campus of UTEC University in Peru won @RIBA’s inaugural International Prize!". There are three entities in this sentence: UTEC University, Peru and RIBA. So if I want to classify the sentiment of these three entities, I should type in three sentences instead of one, right?