Papers with aspect-level multi-class annotations

1 papers
Multi-resolution Annotations for Emoji Prediction (2020.emnlp-main)

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Challenge: Emojis are able to express various linguistic components, such as emotions, sentiments, events, etc. emojis have the merit of preserving information more densely, compared to words, argues a new study.
Approach: They propose to use passage-level and aspect-level emoji annotations to predict the proper emmojis associated with text.
Outcome: The proposed method is heuristically generated and validated with a pre-trained BERT model.

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