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Neural Machine Translation with Word Predictions

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractIn the encoder-decoder architecture for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information about the sentence. These vectors …...

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Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWhile Long Short-Term Memory networks (LSTMs) and other forms of recurrent neural network have been successfully applied to language modeling on a character level, the hidden state dynamics of these …...

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How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT’s Attention

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Publication: TIPSTER (2020)

DOI: nan

AbstractRecent research on the multi-head attention mechanism, especially that in pre-trained models such as BERT, has shown us heuristics and clues in analyzing various aspects of the mechanism. As most …...

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