Papers with aspect category

2 papers
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis (2020.emnlp-main)

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Challenge: Existing methods to detect sentiment toward aspect categories ignore the fact that the sentiment of an aspect category mentioned in a sentence is an aggregation of the sentiments of the words indicating the aspect category in the sentence, which leads to suboptimal performance.
Approach: They propose a multi-instance multi-label learning network for Aspect-Category sentiment analysis that treats sentences as bags, words as instances, and the words indicating an aspect category as key instances of the aspect category.
Outcome: The proposed model is based on three public datasets showing that it performs well.
Aspect Sentiment Quad Prediction as Paraphrase Generation (2021.emnlp-main)

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Challenge: Existing studies focus on predicting the four elements in one shot, instead of predicting them all.
Approach: They propose a task to jointly detect all sentiment elements in quads for a given opinionated sentence.
Outcome: The proposed method can generate the semantics of the sentiment elements in the natural language form.

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