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Found 5 papers, 5 papers with code
What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech Detection
This supports our overall observation that personalized models should always be considered in all subjective NLP tasks, including hate speech detection.
PALS: Personalized Active Learning for Subjective Tasks in NLP
In this paper, we present novel Personalized Active Learning techniques for Subjective NLP tasks (PALS) to either reduce the cost of the annotation process or to boost the learning effect.
RWKV: Reinventing RNNs for the Transformer Era
This work presents a significant step towards reconciling trade-offs between computational efficiency and model performance in sequence processing tasks.
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Natural Language Inference
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Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection
There is content such as hate speech, offensive, toxic or aggressive documents, which are perceived differently by their consumers.
Personal Bias in Prediction of Emotions Elicited by Textual Opinions
Analysis of emotions elicited by opinions, comments, or articles commonly exploits annotated corpora, in which the labels assigned to documents average the views of all annotators, or represent a majority decision.
