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Statistical Models to Automatic Text Summarization

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Future Data and Security Engineering (FDSE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11251))

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Abstract

This paper proposes statistical models used for text summarization and suggests models contributing to researches in text summarization issue. The evaluating experiment results methods have partially demonstrated synthesization technique’s efficiency in automatic text summarization. Having been built and tested in real data, our system proves its accuracy.

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References

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Acknowledgements

This paper was supported by the research project CS2017-61 funded by Saigon University.

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Correspondence to Pham Trong Nguyen .

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Nguyen, P.T., Dang, C.T.M. (2018). Statistical Models to Automatic Text Summarization. In: Dang, T., Küng, J., Wagner, R., Thoai, N., Takizawa, M. (eds) Future Data and Security Engineering. FDSE 2018. Lecture Notes in Computer Science(), vol 11251. Springer, Cham. https://doi.org/10.1007/978-3-030-03192-3_37

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  • DOI: https://doi.org/10.1007/978-3-030-03192-3_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03191-6

  • Online ISBN: 978-3-030-03192-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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