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1. CN108829719 - Answer selection method and system for non-fact questions and answers

Office
China
Application Number 201810427636.2
Application Date 07.05.2018
Publication Number 108829719
Publication Date 16.11.2018
Publication Kind A
IPC
G06F 17/30
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
30Information retrieval; Database structures therefor
G06F 17/27
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
20Handling natural language data
27Automatic analysis, e.g. parsing, orthograph correction
CPC
G06F 40/211
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
40Handling natural language data
20Natural language analysis
205Parsing
211Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
G06F 40/30
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
40Handling natural language data
30Semantic analysis
Applicants HEFEI INSTITUTES OF PHYSICAL SCIENCE, CHINESE ACADEMY OF SCIENCES
中国科学院合肥物质科学研究院
Inventors MA RONGQIANG
马荣强
ZHANG JIAN
张健
LI MIAO
李淼
CHEN LEI
陈雷
GAO HUIYI
高会议
Agents 合肥天明专利事务所(普通合伙) 34115
Title
(EN) Answer selection method and system for non-fact questions and answers
(ZH) 一种非事实类问答答案选择方法及系统
Abstract
(EN)
The invention discloses an answer selection method for non-fact questions and answers, and belongs to the technical field of intelligent retrieval. The method comprises the steps of processing a question sentence and a to-be-selected answer statement by adopting a convolutional neural network based on an attention mechanism to obtain a first semantic vector and a second semantic vector, wherein the first semantic vector represents a semantic vector of the question sentence, and the second semantic vector represents a semantic vector of the to-be-selected answer statement; and matching the first semantic vector with the second semantic vector, and returning the to-be-selected answer statement corresponding to the second semantic vector with the highest matching degree as a correct answer. According to the method, the semantic vector representation of the sentence is generated by utilizing the convolutional neural network based on the attention mechanism, and a weight is given to an input by an importance degree in the semantic representation process, so that the influence of contents irrelevant to an answer theme is reduced, the high-quality semantic representation is automaticallygenerated, the semantic matching degree between the question sentence and the answer statement is improved, and the correct rate of answer selection is improved.

(ZH)
本发明公开了一种非事实类问答答案选择方法,属于智能检索技术领域,包括采用基于注意力机制的卷积神经网络分别对问句、待选择答案语句进行处理,得到第一语义向量、第二语义向量,其中,第一语义向量表示问句的语义向量,第二语义向量表示待选择的答案语句的语义向量;将第一语义向量与所述第二语义向量进行匹配,并将匹配度最高的第二语义向量所对应的待选择答案语句作为正确答案返回。本发明利用基于注意力机制的卷积神经网络生成句子的语义向量表示,在语义表示过程中的重要程度对输入赋予权重,减小与答案主题无关内容的影响,自动生成高质量的语义表示,提高了问句与答案语句的语义匹配度,进而提高了答案选择的正确率。