
Polarity calibration aims to align the polarity of output summary with that of input text, mitigating the tendency of opinion summarization models to amplify polarity bias.


coremsg

mitigating-polarity-bias-in-opinion-summarization-through-reinforcement-learning-based-polarity-calibration


Mitigating Polarity Bias in Opinion Summarization through Reinforcement Learning-based Polarity Calibration


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Rationale-based opinion summarization generates concise summaries that present representative opinions along with corresponding rationales, providing more informative and useful summaries compared to conventional opinion summaries.


rationale-based-opinion-summarization-extracting-representative-opinions-and-informative-rationales-from-online-reviews


Rationale-based Opinion Summarization: Extracting Representative Opinions and Informative Rationales from Online Reviews
