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International Workshop on Soft Computing Models in Industrial and Environmental Applications

SOCO 2019: 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) pp 57–67Cite as

A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 950))

Abstract

Text summarization is becoming an indispensable solution for dealing with the exponential growth of textual and unstructured information in digital format. In this paper, an unsupervised method for extractive multi-document summarization is presented. This method combines the use of a semantic graph for representing textual contents and identify the most relevant topics with the processing of several sentences features applying a fuzzy logic perspective. A fuzzy aggregation operator is applied in the sentences relevance assessment process as a contribution to the multi-document summarization process. The method was evaluated with the Spanish and English texts collection of MultiLing 2015. The obtained results were measured through ROUGE metrics and compared with those obtained by other solutions reported from MultiLing2015.

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Acknowledgments

This work has been partially supported by FEDER and the State Research Agency (AEI) of the Spanish Ministry of Economy and Competition under grant MERINET: TIN2016-76843-C4-2-R (AEI/FEDER, UE).

Author information

Authors and Affiliations

  1. Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae, La Habana, Cuba

    Eduardo Valladares-Valdés & Alfredo Simón-Cuevas

  2. Universidad de Castilla-La Mancha, Ciudad Real, Spain

    José A. Olivas & Francisco P. Romero

Authors
  1. Eduardo Valladares-Valdés
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  2. Alfredo Simón-Cuevas
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  3. José A. Olivas
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  4. Francisco P. Romero
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Corresponding author

Correspondence to Alfredo Simón-Cuevas .

Editor information

Editors and Affiliations

  1. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  2. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  3. University of Salamanca, Salamanca, Spain

    José António Sáez Muñoz

  4. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Valladares-Valdés, E., Simón-Cuevas, A., Olivas, J.A., Romero, F.P. (2020). A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_6

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