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- W1993445005 abstract "Question Classification plays an important role in most Question Answering systems. In this paper, we exploit semantic features in Support Vector Machines (SVMs) for Question Classification. We propose a semantic tree kernel to incorporate semantic similarity information. A diverse set of semantic features is evaluated. Experimental results show that SVMs with semantic features, especially semantic classes, can significantly outperform the state-of-the-art systems." @default.
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- W1993445005 date "2008-07-20" @default.
- W1993445005 modified "2023-09-26" @default.
- W1993445005 title "Question classification with semantic tree kernel" @default.
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- W1993445005 doi "https://doi.org/10.1145/1390334.1390530" @default.
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