Abstract
In this paper we present the first machine learning approach to resolve the pronominal anaphora in Basque language. In this work we consider different classifiers in order to find the system that fits best to the characteristics of the language under examination. We do not restrict our study to the classifiers typically used for this task, we have considered others, such as Random Forest or VFI, in order to make a general comparison. We determine the feature vector obtained with our linguistic processing system and we analyze the contribution of different subsets of features, as well as the weight of each feature used in the task.
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Arregi, O., Ceberio, K., Díaz de Illarraza, A., Goenaga, I., Sierra, B., Zelaia, A. (2010). A First Machine Learning Approach to Pronominal Anaphora Resolution in Basque. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_24
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DOI: https://doi.org/10.1007/978-3-642-16952-6_24
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