Papers with opinion summarisation

2 papers
Unsupervised Opinion Summarisation in the Wasserstein Space (2022.emnlp-main)

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Challenge: Recent work on opinion summarisation of social media posts has focused on reviews . however, it is important to capture user opinions in online discussions over specific topics .
Approach: They propose an unsupervised opinion summarisation model which uses the Wasserstein distance to generate a single summary from a group of documents.
Outcome: The proposed model outperforms the state-of-the-art on ROUGE metrics and produces the best summaries with respect to meaning preservation according to human evaluations.
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions (2025.emnlp-main)

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Challenge: reducing the size of LLMs through post-training pruning has been studied, but its impact on model fairness remains unexplored.
Approach: They propose a pruning method that removes parameters that are redundant for input processing but influential in output generation.
Outcome: The proposed pruning method can maintain or improve fairness across models and tasks where existing methods have limitations.

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