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Detecting contradictive statements is a foundational and challenging task for text understanding applications such as textual entailment. In this article, we aim to address the problem of the shortage of specific background knowledge in contradiction detection. A novel contradiction detecting approach based on the distribution of the query composed of(More)
Abetract Previously, we have presented a method for embedding selection based on cluster analysis. In this paper, we described an embedding selection method based on a feature reduction transformation matrix. This method extracts features that are important for maintaining decision boundaries in the supervised clusters. Experimentally, we demonstrate that(More)
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