Concept Transfer Learning for Adaptive Language Understanding

WS 2018 Su ZhuKai Yu

Concept definition is important in language understanding (LU) adaptation since literal definition difference can easily lead to data sparsity even if different data sets are actually semantically correlated. To address this issue, in this paper, a novel concept transfer learning approach is proposed... (read more)

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