Method and system for processing question and answer data based on semantic logic uniqueness judgment

Abstract

The invention relates to the technical field of information processing, in particular to a method and system for processing question and answer data based on semantic logic uniqueness judgment, wherein the method and system can achieve the quantitative analysis of the question and answer data, can achieve the output of standardized results including forward semantics and reverse semantics and therefore improve the information processing efficiency and accuracy effectively. The method is characterized in that the method the following steps: judging whether a current statement pi is a statementsentence capable of solving a logic truth value or not: if not, converting the current statement into the statement sentence capable of solving the logic truth value; if the current statement pi is adescriptive statement capable of solving a logic true value, taking a non-value of the current statement pi, obtaining a reverse logic statement, judging whether 0 is false or not, and if yes, outputting the reverse logic statement, otherwise, judging that the current statement does not have semantic logic uniqueness.

Description

Technical field: [0001] The present invention relates to the field of information processing technology, specifically a semantic logic-based uniqueness method capable of quantitatively analyzing question-and-answer data and outputting standardized results including forward semantics and reverse semantics, thereby effectively improving information processing efficiency and accuracy A method and system for processing question answering data based on judgment. Background technique: [0002] In order to improve the efficiency of human-computer interaction, natural language semantic analysis technology has emerged. After receiving the voice input by the user, this type of voice assistant system first converts the voice data into text data, and then splits and analyzes the text data. , and finally determine the semantics of the speech data. For the semantic analysis of the existing technology, most of the semantic analysis is completed based on the user's historical search record...

AI Technical Summary

Problems solved by technology

For the semantic analysis of the existing technology, most of the semantic analysis is completed based on the user's historical search records and the similarity of the existing data in the database. However, such an analysis process does not make logical judgments on the semantics, so many sentences will be disassembled and parsed. The meaning of the data is very different from the original meaning of the data, and it is also very difficult to correct the results

[0003] At present, there are a lot of information data that must be processed and transformed through question-and-answer data. Among them, information data such as contract clauses and legal provisions are not only widely used, but also must be logically judged in specific use. However, for a long time, due to the lack of scientific and effective It is a professional method and system for processing and transforming question-and-answer data. People can only rely on personal experience to make contract clauses and other information data, which is very random. It is impossible to form a standardized information data system, and it is even more difficult to deal with smart contracting and smart judgment. In artificial intelligence processing, there are two major technical defects in a brief summary:

In the real world, many people often find it difficult to accurately interpret the terms of the contract, and more or less encounter the problem of not being able to understand the logical judgment information such as the contract terms. In turn, they may have multiple understandings of the same contract terms, and even cause contractual disputes. However, looking at the essence through the phenomenon, the most fundamental problem is that there is currently a lack of technology that can detect whether the semantics of logically judged information is unique, so it is very difficult to intelligently process this type of information

[0005] 2. Lack of technologies and systems for quantifiable and accurate processing of logical judgment information

At present, it is difficult for people to be question-oriented and accurately convert question-and-answer information into standardized logical judgment information. Therefore, how many standardized clauses should each contract have, and what kind of question-and-answer information each standardized clause corresponds to is very difficult. Difficult to understand clearly, and this will cause problems for people to process relevant information efficiently and accurately

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