公开(公告)号：US20200090034A1

公开(公告)日：2020-03-19

申请号：US16134959

申请日：2018-09-18

Applicant: salesforce.com, inc.

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

IPC: G06N3/08 ,  G10L15/16 ,  G10L15/06 ,  G06F17/30

Abstract: For a database system accessible by one or more users, a neural network model and related method are provided that allow a user of the database system to provide unstructured input in the form of a verbal or textual narrative or utterance that expresses the information in a language and manner that is more comfortable for the user. A portion of the narrative or utterance may relate to one or action items that the user intends to be taken with respect to the database system, such as creating, updating, modifying, or deleting a database item (e.g., contact, calendar item, deal, etc.). The neural model processes the unstructured input (narrative or utterance) and determines or classifies the intent with respect to the action item for the database.

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.