公开(公告)号：US10540610B1

公开(公告)日：2020-01-21

申请号：US15139807

申请日：2016-04-27

Applicant: Google Inc.

Inventor： Jie Yang ,  Amr Ahmed ,  Luis Garcia Pueyo ,  Mike Bendersky ,  Amitabh Saikia ,  Marc-Allen Cartright ,  Marc Alexander Najork ,  MyLinh Yang ,  Hui Tan ,  Weinan Zhang ,  Vanja Josifovski ,  Alexander J. Smola

IPC: G06N7/00 ,  G06N20/00 ,  H04L12/58

Abstract: Methods, apparatus, and computer-readable media are provided for analyzing a cluster of communications, such as B2C emails, to generate a template for the cluster that defines transient segments and fixed segments of the cluster of communications. More particularly, methods, apparatus, and computer-readable media are provided for generating and/or applying a trained structured machine learning model for a generated template that can be used to determine, for one or more transient segments of subsequent communications, a corresponding probability that a given semantic label is the correct semantic label for extracted content of the transient segment(s).