Deep reinforcement learning for extractive document summarization
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.020
Abstract: Abstract We present a novel extractive document summarization approach based on a Deep Q-Network (DQN), which can model salience and redundancy of sentences in the Q-value approximation and learn a policy that maximize the Rouge… read more here.
Keywords: document summarization; extractive document; summarization; reinforcement learning ... See more keywords
Improving extractive document summarization with sentence centrality
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0268278
Abstract: Extractive document summarization (EDS) is usually seen as a sequence labeling task, which extracts sentences from a document one by one to form a summary. However, extracting sentences separately ignores the relationship between the sentences… read more here.
Keywords: sentence centrality; extractive document; sentence; document summarization ... See more keywords