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Task-Oriented Evaluation of Dependency Parsing with Open Information Extraction

  • Pablo Gamallo
  • Marcos Garcia
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11122)

Abstract

This paper presents a comparative evaluation of several Portuguese parsers. Our objective is to use dependency parsers in a specific information extraction task, namely Open Information Extraction (OIE), and measure the impact of each parser in this task. The experiments show that the scores obtained by the evaluated parsers are quite similar even though they allow to extract different (and then complementary) itens of information.

Keywords

Dependency parsing Open Information Extraction Task-oriented evaluation 

Notes

Acknowledgments

Pablo Gamallo has received financial support from a 2016 BBVA Foundation Grant for Researchers and Cultural Creators, TelePares (MINECO, ref:FFI2014-51978-C2-1-R), the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016–2019, ED431G/08) and the European Regional Development Fund (ERDF). Marcos Garcia has been funded by the Spanish Ministry of Economy, Industry and Competitiveness through the project with reference FFI2016-78299-P, by a Juan de la Cierva grant (IJCI-2016-29598), and by a 2017 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation.

References

  1. 1.
    Afonso, S., Bick, E., Haber, R., Santos, D.: Floresta sintá(c)tica: a treebank for Portuguese. In: The Third International Conference on Language Resources and Evaluation, LREC 2002, pp. 1698–1703, Las Palmas de Gran Canaria, Spain (2002)Google Scholar
  2. 2.
    Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. In: International Joint Conference on Artificial Intelligence, pp. 2670–2676 (2007)Google Scholar
  3. 3.
    Collovini, S., Machado, G., Vieira, R.: Extracting and structuring open relations from Portuguese text. In: Silva, J., Ribeiro, R., Quaresma, P., Adami, A., Branco, A. (eds.) PROPOR 2016. LNCS (LNAI), vol. 9727, pp. 153–164. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-41552-9_16CrossRefGoogle Scholar
  4. 4.
    Del Corro, L., Gemulla, R.: ClausIE: clause-based open information extraction. In: Proceedings of the World Wide Web Conference (WWW-2013), pp. 355–366, Rio de Janeiro, Brazil (2013)Google Scholar
  5. 5.
    Etzioni, O., Fader, A., Christensen, J., Soderland, S., Mausam, M.: Open information extraction: the second generation. In: International Joint Conference on Artificial Intelligence, pp. 3–10. AAAI Press (2011)Google Scholar
  6. 6.
    Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: Conference on Empirical Methods in Natural Language Processing, pp. 1535–1545. ACL (2011)Google Scholar
  7. 7.
    Gamallo, P.: Dependency parsing with compression rules. In: Proceedings of the 14th International Workshop on Parsing Technology (IWPT 2015), Bilbao, Spain, pp. 107–117. Association for Computational Linguistics (2015)Google Scholar
  8. 8.
    Gamallo, P., Garcia, M.: Multilingual open information extraction. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds.) EPIA 2015. LNCS (LNAI), vol. 9273, pp. 711–722. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-23485-4_72CrossRefGoogle Scholar
  9. 9.
    Gamallo, P., Garcia, M.: Dependency parsing with finite state transducers and compression rules. Inf. Process. Manag. (2018). Accessed 5 June 2018Google Scholar
  10. 10.
    Gamallo, P., Garcia, M., Fernández-Lanza, S.: Dependency-based open information extraction. In: ROBUS-UNSUP 2012: Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP at the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France, pp. 10–18 (2012)Google Scholar
  11. 11.
    Gómez-Rodríguez, C., Alonso-Alonso, I., Vilares, D.: How important is syntactic parsing accuracy? An empirical evaluation on sentiment analysis. Artif. Intell. Rev. 1–17 (2017, forthcoming).  https://doi.org/10.1007/s10462-017-9584-0
  12. 12.
    Gómez-Rodríguez, C., Nivre, J.: A transition-based parser for 2-planar dependency structures. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, ACL 2010, Stroudsburg, PA, USA, pp. 1492–1501 (2010)Google Scholar
  13. 13.
    Claro, D.B., de Oliveira, L.S., Glauber, R.: Dependentie: an open information extraction system on Portuguese by a dependence analysis. In: Proceedings of XIV Encontro Nacional de Inteligência Artificial e Computacional, pp. 271–282 (2017)Google Scholar
  14. 14.
    Mausam, M., Schmitz, M., Soderland, S., Bart, R., Etzioni, O.: Open language learning for information extraction. In: Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 523–534 (2012)Google Scholar
  15. 15.
    Nivre, J., et al.: Maltparser: a language-independent system for data-driven dependency parsing. Nat. Lang. Eng. 13(2), 115–135 (2007)Google Scholar
  16. 16.
    Rademaker, A., Chalub, F., Real, L., Freitas, C., Bick, E., de Paiva, V.: Universal dependencies for Portuguese. In: Proceedings of the Fourth International Conference on Dependency Linguistics (Depling), pp. 197–206, Pisa, Italy, September 2017Google Scholar
  17. 17.
    Santos, V., Pinheiro, V.: Report: um sistema de extração de informações aberta para a língua Portuguesa. In: Proceedings of the X Brazilian Symposium in Information and Human Language Technology (STIL), Natal, RN, Brazil, pp. 191–200 (2015)Google Scholar
  18. 18.
    Zavaglia, C.: O papel do léxico na elaboração de ontologias computacionais: do seu resgate à sua disponibilização. In: Martins, E.S., Cano, W.M., Filho, W.B.M. (eds.) Lingüística IN FOCUS - Léxico e morfofonologia: perspectivas e análises, pages 233–274. EDUFU, Uberlândia (2006)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS)Universidade de Santiago de CompostelaGalizaSpain
  2. 2.LyS GroupUniversidade da CoruñaGalizaSpain

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