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Multilingual Open Information Extraction

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Progress in Artificial Intelligence (EPIA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9273))

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Abstract

Open Information Extraction (OIE) is a recent unsupervised strategy to extract great amounts of basic propositions (verb-based triples) from massive text corpora which scales to Web-size document collections. We propose a multilingual rule-based OIE method that takes as input dependency parses in the CoNLL-X format, identifies argument structures within the dependency parses, and extracts a set of basic propositions from each argument structure. Our method requires no training data and, according to experimental studies, obtains higher recall and higher precision than existing approaches relying on training data. Experiments were performed in three languages: English, Portuguese, and Spanish.

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References

  1. Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. In: International Joint Conference on Artificial Intelligence (2007)

    Google Scholar 

  2. Wu, F., Weld, D.S.: Open information extraction using wikipedia. In: Annual Meeting of the Association for Computational Linguistics (2010)

    Google Scholar 

  3. Corro, L.D., Gemulla, R.: Clausie: clause-based open information extraction. In: Proceedings of the World Wide Web Conference (WWW-2013), Rio de Janeiro, Brazil, pp. 355–366 (2013)

    Google Scholar 

  4. Hall, J., Nilsson, J.: CoNLL-X shared task on multilingual dependency parsing. In: The Tenth CoNLL (2006)

    Google Scholar 

  5. Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilson, J., Riedel, S., Yuret, D.: The CoNLL-2007 shared task on dependency parsing. In: Proceedings of the Shared Task Session of EMNLP-CoNLL 2007, Prague, Czech Republic, pp. 915–932 (2007)

    Google Scholar 

  6. Nivre, J., Hall, J., Nilsson, J., Chanev, A., Eryigit, G., Kübler, S., Marinov, S., Marsi, E.: Maltparser: A language-independent system for data-driven dependency parsing. Natural Language Engineering 13(2), 115–135 (2007)

    Google Scholar 

  7. Gamallo, P., González, I.: A grammatical formalism based on patterns of part-of-speech tags. Journal of Corpus Linguistics 16(1), 45–71 (2011)

    Article  Google Scholar 

  8. Banko, M., Etzioni, O.: The tradeoffs between open and traditional relation extraction. In: ACL-08 (2008)

    Google Scholar 

  9. Etzioni, O., Fader, A., Christensen, J., Soderland, S., Mausam: Open information extraction: the second generation. In: International Joint Conference on Artificial Intelligence (2011)

    Google Scholar 

  10. Mausam, Schmitz, M., Soderland, S., Bart, R., Etzioni, O.: Open language learning for information extraction. In: EMNLP-12, pp. 523–534 (2012)

    Google Scholar 

  11. Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: EMNLP-11 (2011)

    Google Scholar 

  12. Zhilla, A., Gelbukh, A.: Comparison of open information extraction for Engish and Spanish. In: Dialogue 2014 (2014)

    Google Scholar 

  13. Xavier, C.C., Souza, M., de Lima, V.S.: Open information extraction based on lexical-syntactic patterns. In: Brazilian Conference on Intelligent Systems, pp. 189–194 (2013)

    Google Scholar 

  14. Bast, H., Haussmann, E.: Open information extraction via contextual sententence decomposition. ICSC 2013, 154–159 (2013)

    Google Scholar 

  15. Akbik, A., Loser, A.: Kraken: N-ary facts in open information extraction. In: Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, pp. 52–56 (2012)

    Google Scholar 

  16. Gamallo, P., Garcia, M., Fernández-Lanza, S.: Dependency-based open information extraction. In: ROBUS-UNSUP Workshop at EACL-2012, Avignon, France (2012)

    Google Scholar 

  17. Klein, D., Manning, C.D.: Accurate unlexicalized parsing. In: ACL-03, pp. 423–430 (2003)

    Google Scholar 

  18. Lin, T., Mausam, Etzioni, O.: Identifying functional relations in web text. In: Conference on Empirical Methods in Natural Language Processing (2010)

    Google Scholar 

  19. Soderland, S., Roof, B., Qin, B., Xu, S., Mausam, Etzioni, O.: Adapting open information extraction to domain-specific relations. AI Magazine 31(3), 93–102 (2010)

    Google Scholar 

  20. Schimd, H.: Improvements in part-of-speech tagging with an application to german. In: ACL SIGDAT Workshop, Dublin, Ireland (1995)

    Google Scholar 

  21. Padró, L., Stanilovsky, E.: Freeling 3.0: towards wider multilinguality. In: LREC 2012, Istanbul, Turkey (2012)

    Google Scholar 

  22. Zavaglia, C.: O papel do léxico na elaborac̃ão de ontologias computacionais: do seu resgate à sua disponibilizac̃ão. In: Lingüística IN FOCUS - Léxico e morfofonologia: perspectivas e análises. Uberlândia: EDUFU, pp. 233–274 (2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Centro Singular de Investigacin en Tecnoloxas da Informacin (CITIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain

    Pablo Gamallo

  2. Cilenis Language Technology, Santiago de Compostela, Spain

    Marcos Garcia

Authors
  1. Pablo Gamallo
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  2. Marcos Garcia
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Corresponding author

Correspondence to Pablo Gamallo .

Editor information

Editors and Affiliations

  1. ISEC - Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, Coimbra, Portugal

    Francisco Pereira

  2. CIUSC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Penousal Machado

  3. CIUSC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Ernesto Costa

  4. CIUSC, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Amílcar Cardoso

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© 2015 Springer International Publishing Switzerland

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Gamallo, P., Garcia, M. (2015). Multilingual Open Information Extraction. In: Pereira, F., Machado, P., Costa, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 2015. Lecture Notes in Computer Science(), vol 9273. Springer, Cham. https://doi.org/10.1007/978-3-319-23485-4_72

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  • DOI: https://doi.org/10.1007/978-3-319-23485-4_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23484-7

  • Online ISBN: 978-3-319-23485-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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