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Mention Clustering to Improve Portuguese Semantic Coreference Resolution

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Natural Language Processing and Information Systems (NLDB 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10859))

Abstract

This paper evaluates the impact that different clustering techniques may have on grouping referential mentions on rule-based coreference resolution systems. As a result, we show that our approach outperforms commonly applied methods.

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Notes

  1. 1.

    http://www.inf.pucrs.br/linatural/wordpress/index.php/recursos-e-ferramentas/corp-coreference-resolution-for-portuguese/.

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Acknowledgments

The authors acknowledge the financial support of CNPq, CAPES and Fapergs.

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Correspondence to Evandro Fonseca .

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Fonseca, E., Vanin, A., Vieira, R. (2018). Mention Clustering to Improve Portuguese Semantic Coreference Resolution. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_25

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  • DOI: https://doi.org/10.1007/978-3-319-91947-8_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91946-1

  • Online ISBN: 978-3-319-91947-8

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