Search Results for author:
Found 3 papers, 0 papers with code
Evaluation of Review Summaries via Question-Answering
In this paper, we propose to use the question-answering(QA) approach to evaluate summaries of opinions in reviews.
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
In this study, using political bias as a case study, we first establish a methodology to quantify bias in abstractive models, then trace it from the pre-trained models to the task of summarising social media opinions using different models and adaptation methods.
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity
We found that BART and ChatGPT can better capture diverse opinions presented in the source documents.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
