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Showing 2016 · cs.CLShow all
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cs.CL2016★ 2 cited
Learning to Distill: The Essence Vector Modeling Framework
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen +1
In the context of natural language processing, representation learning has emerged as a newly active research subject because of its excellent performance in many applications. Lea…
cs.CL2016★ 1 cited
Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization
Kuan-Yu Chen, Shih-Hung Liu, Berlin Chen +2
Word embedding methods revolve around learning continuous distributed vector representations of words with neural networks, which can capture semantic and/or syntactic cues, and in…