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Sep, 2020
基于最大边际相关性引导的强化学习的多文档摘要
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
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Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han
TL;DR
提出了RL-MMR,一种将最大边际相关引导的强化学习与传统多文档摘要统计测量方法相结合的方法,以解决多文档摘要中的搜索空间问题和信息冗余问题,取得了最佳表现。
Abstract
While
neural sequence learning
methods have made significant progress in single-document summarization (SDS), they produce unsatisfactory results on
multi-document summarization
(MDS). We observe two major challe
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