3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning
Peggy Tang, Junbin Gao, Lei Zhang +1
Recently, compressive text summarisation offers a balance between the conciseness issue of extractive summarisation and the factual hallucination issue of abstractive summarisation…
cs.CV2022★ 3 cited
TLDW: Extreme Multimodal Summarisation of News Videos
Peggy Tang, Kun Hu, Lei Zhang +2
Multimodal summarisation with multimodal output is drawing increasing attention due to the rapid growth of multimedia data. While several methods have been proposed to summarise vi…
cs.CL2022
OTExtSum: Extractive Text Summarisation with Optimal Transport
Peggy Tang, Kun Hu, Rui Yan +3
Extractive text summarisation aims to select salient sentences from a document to form a short yet informative summary. While learning-based methods have achieved promising results…