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Colombian Conference on Computing

CCC 2018: Advances in Computing pp 326–337Cite as

Support Vector Machines for Semantic Relation Extraction in Spanish Language

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 885))

Abstract

Relation Extraction (RE) is one of the most important topics in NLP (Natural Language Processing). Many tasks such as semantic relation extraction, sentiment analysis, opinion mining, question answering systems and text summarization are supported by RE. The aim of this paper is to present a semantic relations classifier in which are incorporate lexical features, named entity features and syntactic structures. Relations between two entities are classified based on the Datasets for Generic Relation Extraction (reACE). We translate the reACE corpus to the Spanish language for all relation types and subtypes. The results shows a F-score of 75.25%, it is a significant improvement of 11.5% over the baseline model. Finally, we discuss the results according to the model and the useful information to support the forecasting process.

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Notes

  1. 1.

    https://www.cs.cornell.edu/people/tj/svm_light/svm_struct.html.

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Acknowledgments

The authors would like to acknowledge the systems and Computing Engineering school, Faculty of Engineer, The Universidad del Valle of Cali, Colombia.

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Authors and Affiliations

  1. Universidad del Valle, Cali, Colombia

    Jefferson Peña Torres, Raúl Gutierrez de Piñerez Reyes & Víctor A. Bucheli

Authors
  1. Jefferson Peña Torres
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  2. Raúl Gutierrez de Piñerez Reyes
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  3. Víctor A. Bucheli
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Corresponding author

Correspondence to Jefferson Peña Torres .

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Editors and Affiliations

  1. Universidad Tecnológica de Bolívar, Cartagena, Colombia

    Jairo E. Serrano C.

  2. Universidad Tecnológica de Bolívar, Cartagena, Colombia

    Juan Carlos Martínez-Santos

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Torres, J.P., de Piñerez Reyes, R.G., Bucheli, V.A. (2018). Support Vector Machines for Semantic Relation Extraction in Spanish Language. In: Serrano C., J., Martínez-Santos, J. (eds) Advances in Computing. CCC 2018. Communications in Computer and Information Science, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-319-98998-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-98998-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98997-6

  • Online ISBN: 978-3-319-98998-3

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