Frozen BERT features plus a simple neural classifier outperform an LSTM baseline for Chinese polyphone disambiguation.
The proposed framework accepts raw Chinese character sequence as input without any prepro- cessing, and it consists of a pre-trained BERT model and a NN based classifier
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Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT
Frozen BERT features plus a simple neural classifier outperform an LSTM baseline for Chinese polyphone disambiguation.