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Sentence modeling is a vital feature engineering for document classification. Various feature extraction and summarization algorithms have been adopted for efficient classification of a sentence, e.g., dense word vectors and neural network classifiers. Recently, the concept of attention for machine translation has been applied to various natural language processing (NLP) tasks and has shown significant performance. In this paper, we take a look at the syntactic categories of the words, to makedblp:conf/paclic/ChoK20 fatcat:dnqe3vko6zfrbnexo3ucy4czvq