公开(公告)号：US20210056169A1

公开(公告)日：2021-02-25

申请号：US16543794

申请日：2019-08-19

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vikas Bahirwani ,  Jade Huang ,  Matthew Brigham Hall ,  Yu Zhao ,  Pengcheng He ,  Weizhu Chen ,  Eslam K. Abdelreheem ,  Jiayuan Huang ,  Yuting Sun

IPC: G06F17/27 ,  G06F17/21 ,  H04L12/58

Abstract: Methods, systems, apparatuses, and computer program products are provided for extracting an entity value from a sentence. An embedding set that may include one or more sentence embeddings is generated for at least part of a first sentence that is tagged to associate a first named entity in the sentence with an entity type. A plurality of candidate embeddings is also generated for at least part of a second sentence. The one or more sentence embeddings in the embedding set may be compared with each of the plurality of candidate embeddings, and a match score may be assigned to each comparison to generate a match score set. A particular match score of the match score set may be identified that exceeds a similarity threshold, and an entity value of the entity type may be extracted from the second sentence associated with the identified match score.

公开(公告)号：US11720757B2

公开(公告)日：2023-08-08

申请号：US16543794

申请日：2019-08-19

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vikas Bahirwani ,  Jade Huang ,  Matthew Brigham Hall ,  Yu Zhao ,  Pengcheng He ,  Weizhu Chen ,  Eslam K. Abdelreheem ,  Jiayuan Huang ,  Yuting Sun

IPC: G06F40/35 ,  G06F40/117 ,  G06F40/295 ,  H04L51/02 ,  G06N3/08 ,  G06N20/00

CPC classification number: G06F40/35 ,  G06F40/117 ,  G06F40/295 ,  G06N3/08 ,  G06N20/00 ,  H04L51/02

Abstract: Methods, systems, apparatuses, and computer program products are provided for extracting an entity value from a sentence. An embedding set that may include one or more sentence embeddings is generated for at least part of a first sentence that is tagged to associate a first named entity in the sentence with an entity type. A plurality of candidate embeddings is also generated for at least part of a second sentence. The one or more sentence embeddings in the embedding set may be compared with each of the plurality of candidate embeddings, and a match score may be assigned to each comparison to generate a match score set. A particular match score of the match score set may be identified that exceeds a similarity threshold, and an entity value of the entity type may be extracted from the second sentence associated with the identified match score.

公开(公告)号：US11003863B2

公开(公告)日：2021-05-11

申请号：US16362313

申请日：2019-03-22

Applicant: Microsoft Technology Licensing, LLC

Inventor： Matthew Brigham Hall ,  Weizhu Chen ,  Junyan Chen ,  Pengcheng He ,  Yu Zhao ,  Yi-Min Wang ,  Yuting Sun ,  Zheng Chen ,  Katherine Winant Osborne

IPC: G06F40/30 ,  G06N20/00 ,  G06F40/205 ,  G06F40/295 ,  G10L15/22

Abstract: A system for training and deploying an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a memory storing machine readable instructions. The system may also comprise a processor to execute the machine readable instructions to receive a request via an artificial conversational entity. The processor may also transmit a response to the request based on a dialog tree generated from at least a model-based action generator and a memory-based action generator. The processor may further provide a training option to a user in the event the response is suboptimal. The processor may additionally receive a selection from the user via the training option. The selection may be associated with an optimal response.