-
公开(公告)号:US20210216725A1
公开(公告)日:2021-07-15
申请号:US17147881
申请日:2021-01-13
Inventor: Shuangjie LI , Miao YU , Yabing SHI , Xuefeng HAO , Xunchao SONG , Ye JIANG , Yang ZHANG , Yong ZHU
IPC: G06F40/40 , G06F40/289 , G06N20/00
Abstract: A method and an apparatus for processing information are provided. The method can include: acquiring a word sequence obtained by performing word segmentation on two paragraphs in a text; inputting the word sequence into a to-be-trained natural language processing model to generate a word vector corresponding to a word in the word sequence; inputting the word vector into a preset processing layer of the to-be-trained natural language processing model; predicting whether the two paragraphs are adjacent, and a replaced word in the two paragraphs; and acquiring reference information of the two paragraphs, and training the to-be-trained natural language processing model to obtain a trained natural language processing model, based on the prediction result and the reference information.
-
2.
公开(公告)号:US20210216722A1
公开(公告)日:2021-07-15
申请号:US17149226
申请日:2021-01-14
Inventor: Songtai DAI , Xinwei FENG , Miao YU , Huanyu ZHOU , Xunchao SONG , Pengcheng YUAN
IPC: G06F40/30 , G06F40/295 , G06F16/35
Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.
-
3.
公开(公告)号:US20210011921A1
公开(公告)日:2021-01-14
申请号:US16812062
申请日:2020-03-06
Inventor: Songtai DAI , Xinwei FENG , Miao YU , Huanyu ZHOU , Xunchao SONG , Pengcheng YUAN
IPC: G06F16/2457 , G06N20/00 , G09B7/02
Abstract: A method for obtaining an answer to a question is provided. The method may include: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score and the first score.
-
公开(公告)号:US20210390260A1
公开(公告)日:2021-12-16
申请号:US17119323
申请日:2020-12-11
Inventor: Hongjian SHI , Wenbin JIANG , Xinwei FENG , Miao YU , Huanyu ZHOU , Meng Tian , Xueqian Wu , Xunchao Song
Abstract: The present disclosure discloses a method, apparatus, device, and storage medium for matching semantics, relates to the technical fields of knowledge graph, natural language processing, and deep learning. The method may include: acquiring a first text and a second text; acquiring language knowledge related to the first text and the second text; determining a target embedding vector based on the first text, the second text, and the language knowledge; and determining a semantic matching result of the first text and the second text, based on the target embedding vector.
-
公开(公告)号:US20200050671A1
公开(公告)日:2020-02-13
申请号:US16538589
申请日:2019-08-12
Inventor: Xinwei FENG , Xunchao SONG , Miao YU , Huanyu ZHOU , Shaoshun KANG
Abstract: Embodiments of the present disclosure provide a query processing method and an apparatus, a server and a storage medium. The method includes: determining a word vector representation of a query sequence and an entity vector representation of the query sequence respectively based on respective words and respective entities included in the query sequence; determining a word vector representation of a paragraph and an entity vector representation of the paragraph respectively based on respective words and respective entities included in the paragraph; and determining a similarity between the query sequence and the paragraph according to the word vector representation of the query sequence, the entity vector representation of the query sequence, the word vector representation of the paragraph, and the entity vector representation of the paragraph.
-
-
-
-