Leveraging Different Meronym Discovery Methods for Bridging Resolution in French

  • Emmanuel Lassalle
  • Pascal Denis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7099)


This paper presents a statistical system for resolving bridging descriptions in French, a language for which current lexical resources have a very low coverage. The system is similar to that developed for English by [22], but it was enriched to integrate meronymic information extracted automatically from both web queries and raw text using syntactic patterns. Through various experiments on the DEDE corpus [8], we show that although still mediocre the performance of our system compare favorably to those obtained by [22] for English. In addition, our evaluation indicates that the different meronym extraction methods have a cumulative effect but that the text pattern-based extraction method is more robust and leads to higher accuracy than the Web-based approach.


bridging anaphora resolution relation extraction syntactic patterns 


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  1. 1.
    Agichtein, E., Gravano, L.: Snowball: extracting relations from large plain-text collections. In: DL, pp. 85–94 (2000)Google Scholar
  2. 2.
    Berland, M., Charniak, E.: Finding parts in very large corpora. In: ACL, pp. 57–64 (1999)Google Scholar
  3. 3.
    Brin, S.: Extracting patterns and relations from the world wide web. In: International Workshop on The World Wide Web and Databases, pp. 172–183 (1999)Google Scholar
  4. 4.
    Bunescu, R.: Associative anaphora resolution: A web-based approach. In: EACL Workshop on the Computational reatment of Anaphora (2003)Google Scholar
  5. 5.
    Candito, M., Nivre, J., Denis, P., Anguiano, E.H.: Benchmarking of statistical dependency parsers for french. In: COLING, pp. 108–116 (2010)Google Scholar
  6. 6.
    Clark, H.: Bridging, pp. 441–420. Cambridge University Press (1977)Google Scholar
  7. 7.
    Etzioni, O., Cafarella, M., Downey, D., Popescu, A.M., Shaked, T., Soderl, S., Weld, D.S., Yates, A.: Unsupervised named-entity extraction from the web: an experimental study. Artif.Intell 165 (2005)Google Scholar
  8. 8.
    Gardent, C., Manuélian, H.: Création d’un corpus annot pour le traitement des descriptions définies. Traitement Automatique des Langues 46-I (2005)Google Scholar
  9. 9.
    Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: COLING, pp. 539–545 (1992)Google Scholar
  10. 10.
    Hoffmann, R., Zhang, C., Weld, D.S.: Learning 5000 relational. In: ACL, pp. 286–295 (2010)Google Scholar
  11. 11.
    Kleiber, G.: L’anaphore associative. PUF (2001)Google Scholar
  12. 12.
    Markert, K., Nissim, M.: Using the web for nominal anaphora resolution. In: EACL Workshop on the Computational Treatment of Anaphora (2003)Google Scholar
  13. 13.
    Markert, K., Nissim, M.: Comparing knowledge sources for nominal anaphora resolution. Computational Linguistics 31(3), 367–402 (2005)CrossRefGoogle Scholar
  14. 14.
    McDonald, R.T., Crammer, K., Pereira, F.C.N.: Online large-margin training of dependency parsers. In: ACL (2005)Google Scholar
  15. 15.
    Mitkov, R.: Anaphora resolution. Pearson Education (2002)Google Scholar
  16. 16.
    Nastase, V., Strube, M.: Combining collocations, lexical and encyclopedic. In: EMNLP, pp. 910–918 (2009)Google Scholar
  17. 17.
    Nastase, V., Strube, Boerschinger, M.B., Zirn, C., Elghafari, A.: Wikinet: A very large scale multi-lingual concept network. In: LREC, Valletta, Malta (2010)Google Scholar
  18. 18.
    Ng, V.: Supervised noun phrase coreference research: The first fifteen years. In: ACL, Uppsala, Sweden (July 2010)Google Scholar
  19. 19.
    Poesio, M., Vieira, R., Teufel, S.: Resolving bridging references in unrestricted text. In: Workshop on Operational Factors in Practical,Robust Anaphora Resolution for Unrestricted Texts, pp. 1–6. Association for Computational Linguistics (1997)Google Scholar
  20. 20.
    Poesio, M., Vieira, R.: A corpus-based investigation of definite description use. Computional Linguistics 24(2), 183–216 (1998)Google Scholar
  21. 21.
    Poesio, M., Ishikawa, T., Walde, S.S., Vieira, R.: Acquiring lexical knowledge for anaphora resolution. In: LREC, pp. 1220–1224 (2002)Google Scholar
  22. 22.
    Poesio, M., Mehta, R., Maroudas, A., Hitzeman, J.: Learning to resolve bridging references. In: ACL, page 143 (2004)Google Scholar
  23. 23.
    Sagot, B., Fišer, D.: Construction d’un wordnet libre du français à partir de ressources multilingues. In: TALN (2008)Google Scholar
  24. 24.
    Snow, R., Jurafsky, D., Ng, A.Y.: Learning Syntactic Patterns for Automatic Hypernym Discovery. In: Saul, L.K., Weiss, Y., Bottou, L. (eds.) NIPS, pp. 1297–1304. MIT Press (2005)Google Scholar
  25. 25.
    Soon, W.M., Ng, H.T., Lim, D.C.Y.: A machine learning approach to coreference resolution of noun phrases. Computional Linguistics 27(4), 522–544 (2001)Google Scholar
  26. 26.
    Strube, M., Ponzetto, S.P.: Wikirelate! computing semantic relatedness using wikipedia. In: AAAI, pp. 1419–1424 (2006)Google Scholar
  27. 27.
    Versley, Y.: Using the web to resolve coreferent bridging in german newspaper text. In: GLDV-Frühjahrstagung 2007 (2007)Google Scholar
  28. 28.
    Vieira, R., Poesio, M.: Corpus-based development and evaluation of a system for processing definite descriptions. In: COLING (2000)Google Scholar
  29. 29.
    Vieira, R., Salmon-Alt, S., Schang, E.: Multilingual corpora annotation for processing definite descriptions. In: ANLP, London, UK, pp. 249–258. Springer, Heidelberg (2002)Google Scholar
  30. 30.
    Winston, M.R., Chan, R., Herrmann, D.: A taxonomy of part-whole relations. Cognitive Science 11, 417–444 (1987)CrossRefGoogle Scholar
  31. 31.
    Wu, F., Weld, D.S.: Open information extraction using wikipedia. In: ACL, pp. 118–127 (2010)Google Scholar
  32. 32.
    Zhu, J., Nie, Z., Liu, X., Zhang, B., Wen, J.: Statsnowball: a statistical approach to extracting entity relationships. In: WWW, pp. 101–110 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Emmanuel Lassalle
    • 1
  • Pascal Denis
    • 1
  1. 1.AlpageINRIA & Univ. Paris DiderotParisFrance

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