公开(公告)号：US11790174B2

公开(公告)日：2023-10-17

申请号：US17134494

申请日：2020-12-27

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Weixing Xiong ,  Li Ma ,  Youjun Xiong

IPC: G06F40/295 ,  G06F40/40 ,  G06F18/214 ,  G06F18/2415

CPC classification number: G06F40/295 ,  G06F18/214 ,  G06F18/2415 ,  G06F40/40

Abstract: The present disclosure discloses an entity recognition model training method and an entity recognition method as well as an apparatus using them. The entity recognition model training method includes: obtaining a training text and matching the training text with a database to obtain a plurality of matching results; processing the matching results to obtain a plurality of feature vectors corresponding to the matching results; obtaining a word vector of each word in the training text by processing the training text; and training an initial entity recognition model based on the feature vector and the word vector to obtain an entity recognition model. By using this training manner, the entity recognition model obtained can have an improved accuracy of entity recognition.

公开(公告)号：US20210200952A1

公开(公告)日：2021-07-01

申请号：US17134494

申请日：2020-12-27

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Weixing Xiong ,  Li Ma ,  Youjun Xiong

IPC: G06F40/295 ,  G06F40/40 ,  G06K9/62

Abstract: The present disclosure discloses an entity recognition model training method and an entity recognition method as well as an apparatus using them. The entity recognition model training method includes: obtaining a training text and matching the training text with a database to obtain a plurality of matching results; processing the matching results to obtain a plurality of feature vectors corresponding to the matching results; obtaining a word vector of each word in the training text by processing the training text; and training an initial entity recognition model based on the feature vector and the word vector to obtain an entity recognition model. By using this training manner, the entity recognition model obtained can have an improved accuracy of entity recognition.

公开(公告)号：US12282747B2

公开(公告)日：2025-04-22

申请号：US17870813

申请日：2022-07-21

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Li Ma

IPC: G06F40/58 ,  G06F16/33 ,  G06F16/332 ,  G06F16/3329 ,  G06F16/3332 ,  G06F16/334 ,  G06F16/9032 ,  G06F40/47 ,  G06N20/00

Abstract: A method includes: acquiring an input sentence in a first language in a current round of conversation; translating the input sentence in the first language to obtain an input sentence in a second language, according to dialogue contents in the first language and dialogue contents in the second language that have a mutual translation relationship with the dialogue contents in the first language in historical rounds of conversation; invoking a multi-round conversation generation model to parse the input sentence in the second language in the current round of conversation to generate an output sentence in the second language in the current round of conversation; translating the output sentence in the second language in the current round of conversation to obtain at least one candidate result in the first language; and determining an output sentence in the first language from the at least one candidate result in the first language.

公开(公告)号：US11580299B2

公开(公告)日：2023-02-14

申请号：US16886826

申请日：2020-05-29

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Li Ma ,  Youjun Xiong

IPC: G06F40/242 ,  G06N20/00 ,  G06F40/289 ,  G06N7/00

Abstract: The present disclosure provides a corpus cleaning method and a corpus entry system. The method includes: obtaining an input utterance; generating a predicted value of an information amount of each word in the input utterance according to the context of the input utterance using a pre-trained general model; and determining redundant words according to the predicted value of the information amount of each word, and determining whether to remove the redundant words from the input utterance. In such a manner, the objectivity and accuracy of corpus cleaning can be improved.

公开(公告)号：US11501082B2

公开(公告)日：2022-11-15

申请号：US16734389

申请日：2020-01-05

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Li Ma ,  Weixing Xiong ,  Youjun Xiong

IPC: G06F40/30 ,  G06F16/31 ,  G06F16/35 ,  G06F40/205

Abstract: The present disclosure provides a sentence generation method as well as a sentence generation apparatus and a smart device. The method includes: obtaining an input sentence; searching for structurally similar sentence(s) of each input sentence, where the structurally similar sentence(s) are structurally similar to the input sentence; finding semantically similar sentence(s) of the structurally similar sentence(s); parsing the input sentence and the structurally similar sentence(s) to obtain a subject block, a predicate block, and an object block to rewrite the semantically similar sentences to generate a new sentence; filtering the new sentence based on a preset filtering condition; and labeling the filtered new sentence as a semantically similar sentence of the input sentence. In this manner, a plurality of new sentences with different sentence patterns can be generated based on the same input sentence, which improves the controllability in generating the sentences and saves the labor cost therein.

公开(公告)号：US20220358297A1

公开(公告)日：2022-11-10

申请号：US17870813

申请日：2022-07-21

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Li Ma

IPC: G06F40/58 ,  G06F16/332 ,  G06F16/33 ,  G06F40/47

Abstract: A method includes: acquiring an input sentence in a first language in a current round of conversation; translating the input sentence in the first language to obtain an input sentence in a second language, according to dialogue contents in the first language and dialogue contents in the second language that have a mutual translation relationship with the dialogue contents in the first language in historical rounds of conversation; invoking a multi-round conversation generation model to parse the input sentence in the second language in the current round of conversation to generate an output sentence in the second language in the current round of conversation; translating the output sentence in the second language in the current round of conversation to obtain at least one candidate result in the first language; and determining an output sentence in the first language from the at least one candidate result in the first language.

公开(公告)号：US20210056266A1

公开(公告)日：2021-02-25

申请号：US16734389

申请日：2020-01-05

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Li Ma ,  Weixing Xiong ,  Youjun Xiong

IPC: G06F40/30 ,  G06F16/31 ,  G06F16/35 ,  G06F40/205

Abstract: The present disclosure provides a sentence generation method as well as a sentence generation apparatus and a smart device. The method includes: obtaining an input sentence; searching for structurally similar sentence(s) of each input sentence, where the structurally similar sentence(s) are structurally similar to the input sentence; finding semantically similar sentence(s) of the structurally similar sentence(s); parsing the input sentence and the structurally similar sentence(s) to obtain a subject block, a predicate block, and an object block to rewrite the semantically similar sentences to generate a new sentence; filtering the new sentence based on a preset filtering condition; and labeling the filtered new sentence as a semantically similar sentence of the input sentence. In this manner, a plurality of new sentences with different sentence patterns can be generated based on the same input sentence, which improves the controllability in generating the sentences and saves the labor cost therein.