50 citations · 53 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang, Shuai Wang, Bing Liu
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction r…