A ranking approach to Persian pronoun resolution (2009)

by N S Moosavi, G Ghassem-Sani
Venue:Advances in Computational Linguistics. In Advances in Computational Linguistics. Research in Computing Science 41
Add To MetaCart
Results 1 - 3 of 3

Automatic Coreference Annotation in Basque

by Iakes Goenaga, Olatz Arregi, Klara Ceberio, Arantza Díaz De Ilarraza, Amane Jimeno
"... This paper presents a hybrid system for annotating nominal and pronominal coreferences by combining ML and rule-based methods. The system automatically annotates different types of coreferences; the results are then verified and corrected manually by linguists. The system provides automatically gene ..."
Abstract - Add to MetaCart
This paper presents a hybrid system for annotating nominal and pronominal coreferences by combining ML and rule-based methods. The system automatically annotates different types of coreferences; the results are then verified and corrected manually by linguists. The system provides automatically generated suggestions and a framework for easing the manual portion of the annotation process. This facilitates the creation of a broader annotated corpus, which can then be used to reiteratively improve our ML and rule-based techniques. 1
(Show Context)

A First Machine Learning Approach to Pronominal Anaphora Resolution in Basque O.Arregi,K.Ceberio,A.Díaz de Illarraza,

by I. Goenaga, B. Sierra, A. Zelaia
"... 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 stu ..."
Abstract - Add to MetaCart
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. 1
(Show Context)

A Combination of Classifiers for the Pronominal Anaphora Resolution in Basque

by Ana Zelaia Jauregi, Basilio Sierra, Olatz Arregi Uriarte, Klara Ceberio, Arantza Díaz De Illarraza, Iakes Goenaga
"... Abstract. In this paper we present a machine learning approach to resolve the pronominal anaphora in Basque language. We consider different classifiers in order to find the system that fits best to the characteristics of the language under examination. We apply the combination of classifiers which i ..."
Abstract - Add to MetaCart
Abstract. In this paper we present a machine learning approach to resolve the pronominal anaphora in Basque language. We consider different classifiers in order to find the system that fits best to the characteristics of the language under examination. We apply the combination of classifiers which improves results obtained with single classifiers. The main contribution of the paper is the use of bagging having as base classifier a non-soft one for the anaphora resolution in Basque. 1
(Show Context)