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Method for understanding questions in question type automatic question-answer systems on basis of rule

A technology of automatic question answering and test questions, applied in natural language data processing, electrical digital data processing, special data processing applications, etc.

Active Publication Date: 2017-09-22
NANJING UNIV
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Problems solved by technology

However, the approach adopted by the system is only suitable for fact-type questions, that is, the answer to the question is a real-life entity

Method used

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  • Method for understanding questions in question type automatic question-answer systems on basis of rule
  • Method for understanding questions in question type automatic question-answer systems on basis of rule

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0060] Process flow of the present invention such as figure 1 As shown, firstly, text preprocessing is performed on the test questions, and then word segmentation, part-of-speech tagging, named entity recognition, and component syntactic analysis are performed; combined with the natural language analysis results of the test questions and artificial rules, the template trigger words are extracted, and the template type is determined according to the context. Template generation rules; after candidate results are generated, legality checks are performed to eliminate illegal results; finally, candidate results are combined to obtain the final result.

[0061] The following are the actual templates and corresponding test question template conversion rules in the project "Open Domain Knowledge Integration, Reasoning and Retrieval Key Technologies and Systems...

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Abstract

The invention discloses a method for understanding questions in question type automatic question-answer systems on the basis of a rule. The method comprises the following steps of: regular expression-based question preprocessing: deleting useless texts such as polite formulas and the like, adding omitted punctuations, completing sentences, and carrying out basic natural language processing such as word segmentation, part of speech tagging and component syntax analysis on the completed sentences; designing a set of type-argument template-based question understanding intermediate forms, and applying a trigger word and a question template conversion rule summarized through manually pre-tagged data; and further verifying the generation result by utilizing a knowledge base so as to obtain a reasonable and complete question logic expression. According to the method, key points of questions can be extracted aiming at intermediate logic forms in question text design, so that proper input is reasonably and effectively provided for the question solution and then the question answering correctness is improved.

Description

technical field [0001] The invention belongs to the field of natural language processing, in particular to a test question understanding method in a rule-based test question automatic question answering system. Background technique [0002] Currently, designing automated question-answering systems for test questions that allow computers to pass formal exams at different levels, such as elementary school entrance exams and college entrance examinations, is a popular challenge in the field of artificial intelligence. The goal of an automatic question answering system is to precisely locate and return the answers users need by parsing natural language questions entered by users and retrieving relevant documents or knowledge bases. The current mainstream automatic question answering system is mainly composed of three modules: question understanding, information retrieval and answer generation. The problem understanding module generally needs to determine the type of the problem...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/3329G06F40/211G06F40/295
Inventor 戴新宇王韶杰李泽宇
Owner NANJING UNIV
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