Patent ID: 11860916
Assignee: DSILO INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. The method of claim 1,
wherein the first question encoder employs a first bidirectional long-short-term memory (BiLSTM) model to generate a first set of question vectors based on n-gram scores for n-grams in the current natural language question, wherein a first attention operation is conducted on the first set of question vectors to generate a first attention weighted set of question vectors, wherein a concatenation operation is performed on the first attention weighted set of question vectors to generate a first concatenated set of question vectors, and the first question encoder employs a second BiLSTM model to generate, based on the concatenated set of question vectors, the question vectors, and
wherein the second question encoder employs a third BiLSTM model to generate a second set of feature vectors based on n-gram scores for n-grams in the set of prior natural language questions, wherein an attention operation is conducted on the second set of feature vectors to generate a second attention weighted set of feature vectors, wherein a concatenation operation is performed on the second attention weighted set of feature vectors to generate a second concatenated set of feature vectors, and the second question encoder employs a fourth BiLSTM model to generate, based on the second concatenated set of feature vectors, context parameters comprising one or more vectors.