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IEEE/ICACT20220392 Slide.09        [Big Slide]	Oral Presentation
	Meta knowledge learner aims to make the final classification result better. The module is mainly composed of a bidirectional LSTM (BiLSTM) and a full connection layer. We use BiLSTM to encode context embedding for each time step. The input of the module is a series of word vectors Q: [q1, ..., qm], where M represents the number of words in the sentence.

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