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Using Lexical and Encyclopedic Knowledge

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Book cover Anaphora Resolution

Abstract

Semantic information is one of the indispensable ingredients that are necessary to raise the performance of anaphora resolution – both for pronominal anaphors and for anaphoric definite descriptions – beyond the baseline level. In contrast to hard criteria such as binding and agreement constraints, however, the question of semantic constraints and preferences and its operationalization in a system that performs anaphora resolution, is more complex and a larger variety of solutions can be found in practice.

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Notes

  1. 1.

    TüBa-D/Z corpus, sentence 190.

  2. 2.

    Translated from TüBa-D/Z corpus, sentence 2015.

  3. 3.

    Clear is meant in the sense that it holds up to lexicographic criteria, as opposed to the contents of both terms being incomparable logically.

  4. 4.

    A small subset of the Wall Street Journal section of the Penn Treebank.

  5. 5.

    From http://en.wikipedia.org/wiki/Siberian_tiger

  6. 6.

    ACE-2, document NWIRE/APW19980213.1305.

  7. 7.

    Brants, Thorsten, and Alex Franz. Web 1T 5-gram Version 1 LDC2006T13. Web Download. Philadelphia: Linguistic Data Consortium, 2006.

  8. 8.

    http://lemurproject.org/clueweb09.php/

  9. 9.

    Both the error analysis code and the code for Martschat’s CoRT system are publically available at https://github.com/smartschat/cort

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  1. University of Heidelberg, Heidelberg, Germany

    Yannick Versley

  2. University of Essex, Colchester, UK

    Massimo Poesio

  3. University of Mannheim, Mannheim, Germany

    Simone Ponzetto

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    Massimo Poesio

  2. Frankfurt am Main, Germany

    Roland Stuckardt

  3. Heidelberg, Germany

    Yannick Versley

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Versley, Y., Poesio, M., Ponzetto, S. (2016). Using Lexical and Encyclopedic Knowledge. In: Poesio, M., Stuckardt, R., Versley, Y. (eds) Anaphora Resolution. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47909-4_14

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