VOICE CONVERSATION METHOD AND SYSTEM WITH ENHANCED WORD FEATURES

摘要

Provided is a voice conversation method using a bi-directional LSTM (Bi-LSTM) memory network. The voice conversation method includes steps of: performing bi-directional LSTM processing on history sentences to generate first sentence embedding and second sentence embedding; performing bi-directional LSTM processing on a question sentence to generate question sentence embedding; inputting the first sentence embedding and the question sentence embedding to an input memory of a memory network and inputting the second sentence embedding into an output memory of the memory network; generating a weight matrix representing relevance between the first sentence embedding of the input memory and the question sentence embedding, performing weighted sum of the weight matrix and the second sentence embedding of the output memory to generate output information, adding the output information and the question sentence embedding to obtain prediction information, and outputting the prediction information; and selecting an answer sentence by using the prediction information.