Do Multi-Document Summarization Models Synthesize? [PDF]
Transactions of the Association for Computational LinguisticsAbstract Multi-document summarization entails producing concise synopses of collections of inputs. For some applications, the synopsis should accurately synthesize inputs with respect to a key aspect, e.g., a synopsis of film reviews written about a particular movie should reflect the average critic consensus.
Jay DeYoung +3 more
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INTER AND INTRA CLUSTER ON SELF-ADAPTIVE DIFFERENTIAL EVOLUTION FOR MULTI-DOCUMENT SUMMARIZATION [PDF]
Jurnal Ilmu Komputer dan Informasi, 2018 Multi – document as one of summarization type has become more challenging issue than single-document because its larger space and its different content of each document.
Alifia Puspaningrum +4 more
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COVERAGE, DIVERSITY, AND COHERENCE OPTIMIZATION FOR MULTI-DOCUMENT SUMMARIZATION [PDF]
Jurnal Ilmu Komputer dan Informasi, 2015 A great summarization on multi-document with similar topics can help users to get useful in¬for¬ma¬tion. A good summary must have an extensive coverage, minimum redundancy (high diversity), and smooth connection among sentences (high coherence ...
Khoirul Umam +4 more
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Self-Supervised and Controlled Multi-Document Opinion Summarization
, 2020 We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control. We propose a self-supervised setup that considers an individual document as a target summary for a set of similar
Coavoux, Maximin +3 more
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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidirectional long short-term memory classifier for effective single and multi-document summarization [PDF]
PeerJ Computer ScienceThe internet now offers a vast amount of information, which makes finding relevant data quite challenging. Text summarization has become a prominent and effective method towards glean important information from numerous documents.
Jyotirmayee Rautaray +2 more
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Text Summarization in Multi Document Using Genetic Algorithm
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Automatic text summarization is a representation of a document that contains the essence or main focus of the document. Text summarization is automatically performed using the extraction method.
Nirwana Hendrastuty, Azhari SN
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Genetic Based Optimization Models for Enhancing Multi- Document Text Summarization [PDF]
Engineering and Technology Journal, 2015 Extractive multi-document text summarization – a summarization with the aim of removing redundant information in a document collectionwhile preserving its salient sentences – has recently enjoyed a large interest in proposing automatic models.This paper ...
Hilal H. Saleh, Nasreen J. Kadhim
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Automatic summarization of scientific articles: A survey
Journal of King Saud University: Computer and Information Sciences, 2022 The scientific research process generally starts with the examination of the state of the art, which may involve a vast number of publications. Automatically summarizing scientific articles would help researchers in their investigation by speeding up the
Nouf Ibrahim Altmami +1 more
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Journal of Hebei University of Science and Technology, 2020 In order to solve the problem of ineffective utilization of the semantic information between documents in the traditional multi-document extractive summarization method and the excessive redundant content in the summary result, a Khmer multi-document ...
Zhaolin ZENG +4 more
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Multilayer network based comparative document analysis (MUNCoDA)
MethodsX, 2020 : The proposed multilayer network-based comparative document analysis (MUNCoDA) method supports the identification of the common points of a set of documents, which deal with the same subject area.
Viktor Sebestyén +2 more
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