Search Results for author: Yuxuan Ye

Found 2 papers, 1 papers with code

A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning

no code implementations • ACL (InterNLP) 2021 • Yuxuan Ye, Edwin Simpson

Timeline Summarisation (TLS) aims to generate a concise, time-ordered list of events described in sources such as news articles.

reinforcement-learning Reinforcement Learning (RL)

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Towards Abstractive Timeline Summarisation using Preference-based Reinforcement Learning

1 code implementation • 14 Nov 2022 • Yuxuan Ye, Edwin Simpson

This paper proposes a preference-based reinforcement learning (PBRL) method for adapting pretrained abstractive summarisers to TLS, which can overcome the drawbacks of extractive timeline summaries.

reinforcement-learning Reinforcement Learning (RL)

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