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
Document Summarization for Answering Non-Factoid Queries
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2754373
Abstract: We formulate a document summarization method to extract passage-level answers for non-factoid queries, referred to as answer-biased summaries. We propose to use external information from related Community Question Answering (CQA) content to better identify answer… read more here.
Keywords: document summarization; cqa; content; cqa content ... 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
Diverse Decoding for Abstractive Document Summarization
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9030386
Abstract: Recently, neural sequence-to-sequence models have made impressive progress in abstractive document summarization. Unfortunately, as neural abstractive summarization research is in a primitive stage, the performance of these models is still far from ideal. In this… read more here.
Keywords: abstractive document; document summarization; sequence; diverse decoding ... See more keywords