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Published in 2018 at "Scientometrics"
DOI: 10.1007/s11192-018-2785-8
Abstract: We consider the three interesting problems posed by the CL-SciSumm series of shared tasks. Given a reference document D and a set $$C_D$$CD of citances for D: (1) find the span of reference text that…
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Keywords:
citance;
based retrieval;
reference;
summarization using ... See more keywords
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Published in 2019 at "Evolving Systems"
DOI: 10.1007/s12530-018-9246-8
Abstract: Summary is the meaningful concise version of a text document. Generally existing statistical, knowledge based and discourse based extractive summarization methods use sentence similarity to extract informative sentences. This paper presents an innovative application of…
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Keywords:
text document;
sentence;
extractive summarization;
using semigraph ... See more keywords
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Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04827-6
Abstract: Abstractive text summarization using attentional recurrent neural network (sequence-to-sequence) models have proven to be very effective. In this paper, a novel hybrid approach is presented for generating abstractive text summaries by combining fuzzy logic rules…
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Keywords:
flstm model;
text summarization;
approach;
summarization using ... See more keywords
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Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i3.pp2285-2292
Abstract: There is enormous amount information available in different forms of sources and genres. In order to extract useful information from a massive amount of data, automatic mechanism is required. The text summarization systems assist with…
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Keywords:
word;
news;
summarization using;
word embedding ... See more keywords