公开(公告)号：US20200090033A1

公开(公告)日：2020-03-19

申请号：US16134957

申请日：2018-09-18

Applicant: salesforce.com, inc.

Inventor： Govardana Sachithanandam RAMACHANDRAN ,  Michael MACHADO ,  Shashank HARINATH ,  Linwei ZHU ,  Yufan XUE ,  Abhishek SHARMA ,  Jean-Marc SOUMET ,  Bryan MCCANN

IPC: G06N3/08 ,  G06F17/30 ,  G06F17/20

Abstract: A method for natural language processing includes receiving, by one or more processors, an unstructured text input. An entity classifier is used to identify entities in the unstructured text input. The identifying the entities includes generating, using a plurality of sub-classifiers of a hierarchical neural network classifier of the entity classifier, a plurality of lower-level entity identifications associated with the unstructured text input. The identifying the entities further includes generating, using a combiner of the hierarchical neural network classifier, a plurality of higher-level entity identifications associated with the unstructured text input based on the plurality of lower-level entity identifications. Identified entities are provided based on the plurality of higher-level entity identifications.