Articles with "summarization using" as a keyword



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Citance-based retrieval and summarization using IR and machine learning

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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… read more here.

Keywords: citance; based retrieval; reference; summarization using ... See more keywords
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Extractive summarization using semigraph (ESSg)

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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… read more here.

Keywords: text document; sentence; extractive summarization; using semigraph ... See more keywords
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Improving Text Summarization using Ensembled Approach based on Fuzzy with LSTM

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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… read more here.

Keywords: flstm model; text summarization; approach; summarization using ... See more keywords
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Myanmar news summarization using different word representations

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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… read more here.

Keywords: word; news; summarization using; word embedding ... See more keywords