公开(公告)号：US20230315992A1

公开(公告)日：2023-10-05

申请号：US18208078

申请日：2023-06-09

Applicant: GENESYS CLOUD SERVICES, INC.

Inventor： FELIX IMMANUEL WYSS ,  ARAVIND GANAPATHIRAJU ,  PAVAN BUDUGUPPA

IPC: G06F40/295 ,  H04L51/02 ,  G06F40/253 ,  G06N3/044

CPC classification number: G06F40/295 ,  H04L51/02 ,  G06F40/253 ,  G06N3/044 ,  G06N3/08

Abstract: A method for deriving a model for a chatbot for predicting entities in a sentence. The sentence is input into a named-entity recognition module and features obtained. A LSTM RNN forward pass and backward pass is performed on the features to obtain a first and second set of results, respectively. A first concatenating is performed on the first set of results and the second set of results. A second concatenation is performed on the first concatenation using output target entities. A connected set of neurons from the second concatenation is obtained. An output is obtained, and a prediction is collected on a next output by summing the outputs previous to that output. The prediction is input into the performing of the second concatenation step, wherein the method is performed cyclically until all outputs have been processed with input predictions.