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Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution

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Abstract
Coreference resolution, determining the appropriate discourse referent for an anaphoric expression, is an essential but difficult task in natural language processing. It has been observed that an important source of errors in machine-learning based approaches to this task, is the wrong disambiguation of the third person singular neuter pronoun as either referential or non-referential. In this paper, we investigate whether a machine learning based approach can be successfully applied to the disambiguation of the neuter pronoun in Dutch and show a modest potential effect of this disambiguation on the results of a machine learning based coreference resolution system for Dutch.

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MLA
Hoste, Veronique, Iris Hendrickx, and Walter Daelemans. “Disambiguation of the Neuter Pronoun and Its Effect on Pronominal Coreference Resolution.” Lecture Notes in Artificial Intelligence. Ed. V Matousek & P Mautner. Vol. 4629. Berlin, Germany: Springer, 2007. 48–55. Print.
APA
Hoste, Veronique, Hendrickx, I., & Daelemans, W. (2007). Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution. In V. Matousek & P. Mautner (Eds.), Lecture Notes in Artificial Intelligence (Vol. 4629, pp. 48–55). Presented at the 10th International conference on Text, Speech, and Dialogue, Berlin, Germany: Springer.
Chicago author-date
Hoste, Veronique, Iris Hendrickx, and Walter Daelemans. 2007. “Disambiguation of the Neuter Pronoun and Its Effect on Pronominal Coreference Resolution.” In Lecture Notes in Artificial Intelligence, ed. V Matousek and P Mautner, 4629:48–55. Berlin, Germany: Springer.
Chicago author-date (all authors)
Hoste, Veronique, Iris Hendrickx, and Walter Daelemans. 2007. “Disambiguation of the Neuter Pronoun and Its Effect on Pronominal Coreference Resolution.” In Lecture Notes in Artificial Intelligence, ed. V Matousek and P Mautner, 4629:48–55. Berlin, Germany: Springer.
Vancouver
1.
Hoste V, Hendrickx I, Daelemans W. Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution. In: Matousek V, Mautner P, editors. Lecture Notes in Artificial Intelligence. Berlin, Germany: Springer; 2007. p. 48–55.
IEEE
[1]
V. Hoste, I. Hendrickx, and W. Daelemans, “Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution,” in Lecture Notes in Artificial Intelligence, Pilsen, Czech Republic, 2007, vol. 4629, pp. 48–55.
@inproceedings{441282,
  abstract     = {Coreference resolution, determining the appropriate discourse referent for an anaphoric expression, is an essential but difficult task in natural language processing. It has been observed that an important source of errors in machine-learning based approaches to this task, is the wrong disambiguation of the third person singular neuter pronoun as either referential or non-referential. In this paper, we investigate whether a machine learning based approach can be successfully applied to the disambiguation of the neuter pronoun in Dutch and show a modest potential effect of this disambiguation on the results of a machine learning based coreference resolution system for Dutch.},
  author       = {Hoste, Veronique and Hendrickx, Iris and Daelemans, Walter},
  booktitle    = {Lecture Notes in Artificial Intelligence},
  editor       = {Matousek, V and Mautner, P},
  isbn         = {9783540746270},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Pilsen, Czech Republic},
  pages        = {48--55},
  publisher    = {Springer},
  title        = {Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution},
  url          = {http://dx.doi.org/10.1007/978-3-540-74628-7},
  volume       = {4629},
  year         = {2007},
}

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