Unsupervised Text Summarization Extraction Method Based on Topic Aware Weights
A topic-enhanced centrality score is proposed to achieve collaborative optimization of discrete topics and continuous semantic vectors to address the limitation of insufficient semantic integrity in unsupervised summarization methods for multi-topic documents.
Zhe-Han Zou
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