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Chihiro Shibata

1 accepted papers

2020

How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text

COLING 2020main

Long Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected in its internal vectors for natural text has not yet been sufficiently investigated. We analyze them by learning a lang…

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