Disambiguation of the neuter pronoun and its effect on pronominal coreference resolution
- Publication type
- Publication status
- Hoste, V., Hendrickx, I., & Daelemans, W.
- Lecture Notes in Artificial Intelligence
- Text, Speech and Dialogue. Proceedings of the 10th International Conference TSD 2007
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.