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Báo cáo khoa học: "A Supervised Learning Approach to Automatic Synonym Identification based on Distributional Features"

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Distributional similarity has been widely used to capture the semantic relatedness of words in many NLP tasks. However, various parameters such as similarity measures must be handtuned to make it work effectively. Instead, we propose a novel approach to synonym identification based on supervised learning and distributional features, which correspond to the commonality of individual context types shared by word pairs. Considering the integration with pattern-based features, we have built and compared five synonym classifiers. ...

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Nội dung Text: Báo cáo khoa học: "A Supervised Learning Approach to Automatic Synonym Identification based on Distributional Features"

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