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Method for improving generalization ability of question-answering system

A question answering system and generalization technology, applied in the fields of natural language processing and machine learning, can solve problems such as difficult maintenance, time-consuming and labor-intensive, and inability to pay water bills, so as to improve ease of use, reduce labor costs, and enhance generalization. effect of ability

Active Publication Date: 2021-03-16
SHANDONG SYNTHESIS ELECTRONICS TECH
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Problems solved by technology

For example, suppose there is a question in the question-and-answer library that is "the reason why the water bill cannot be paid", and the user's question is "why can't the water bill be paid", the system cannot answer "can't-can't", "reason-why", "Pay - pay" to correspond
[0007] Traditional methods are based on rules, templates and other manual methods to construct similar vocabulary and similar question lists (such as patents CN201810768888.1, CN201911081549.7, etc.), this method is time-consuming and labor-intensive and not easy to maintain

Method used

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Embodiment 1

[0023] Based on the intelligent question answering / retrieval system, this embodiment provides a method for improving the generalization ability of the system, optimizes the inverted index and sorting algorithm from two aspects of similar word generation and similar question generation, and effectively improves the generalization of the entire question answering system ability. This method provides external functions in the form of services, and can also be used on any device equipped with an intelligent dialogue system, such as WeChat public accounts, intelligent robots, virtual robots, etc.

[0024] The architecture diagram of the existing dialogue / search question answering system is as follows figure 1 As shown, it mainly consists of two parts: retrieval and sorting. In the case of a given question-answer pair / knowledge base for an industry customer, under normal circumstances, we need to build an inverted index to retrieve the user Query to return a list of questions relat...

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Abstract

The invention provides a method capable of automatically improving the generalization ability and the recall ability of the system, retrieval and sorting in the question and answer system are improvedfrom two granularities of words and sentences by using an automatic generation technology of similar words and similar questions, the recall rate of the system is increased, the generalization ability of the system is enhanced, and manual participation is avoided as much as possible; and the usability of the system is greatly improved.

Description

technical field [0001] The invention relates to the fields of natural language processing and machine learning, in particular to a method for improving the generalization ability of questions and answers. Background technique [0002] From the perspective of user experience, there are currently two types of question-and-answer modes in the existing business consulting question-and-answer systems in the industry: one is the question-and-answer type, that is, a clear reply or answer will be given for each valid question of the user; the other is the question-and-answer mode. One is the search type, which returns a list of similar questions for user questions. [0003] Both question and answer models rely on a question and answer library, that is, a question-answer set. When the system receives a user question, it needs to retrieve a list of related questions from the question and answer library and then sort them. The search-type question and answer system directly returns sev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/31G06F16/35G06F16/36G06F40/211G06F40/284G06F40/30G06K9/62
CPCG06F16/3329G06F16/319G06F16/35G06F16/367G06F40/211G06F40/30G06F40/284G06F18/22
Inventor 申冲张汉同张传锋祖丕国王太浩朱锦雷
Owner SHANDONG SYNTHESIS ELECTRONICS TECH
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