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• W87155745 abstract "In this paper we compare two Machine Learning approaches to the task of pronominal anaphora resolution: a conventional classification system based on C5.0 decision trees, and a novel perceptron-based ranker. We use coreference links annotated in the Prague Dependency Treebank 2.0 for training and evaluation purposes. The perceptron system achieves f-score 79.43% on recognizing coreference of personal and possessive pronouns, which clearly outperforms the classifier and which is the best result reported on this data set so far." @default.
• W87155745 created "2016-06-24" @default.
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• W87155745 date "2009-01-01" @default.
• W87155745 modified "2023-10-18" @default.
• W87155745 title "Comparison of classification and ranking approaches to pronominal anaphora resolution in Czech" @default.
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• W87155745 doi "https://doi.org/10.3115/1708376.1708415" @default.
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