A method and system for acquiring an association relationship between words in a user corpus
A technology of related relations and words, applied in the field of auxiliary learning, to achieve the effect of improving accuracy and enriching vocabulary
Active Publication Date: 2019-06-14
GUANGDONG XIAOTIANCAI TECH CO LTD
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Problems solved by technology
However, most people are accustomed to expressing in natural language. In natural language, due to differences in expression habits, few people use standard written grammar for semantic expression. In the process of expression, there are many omissions, references, inversions, etc. Phenomenon, the user may omit a large number of sentence components according to the context when expressing, leaving only a few words, so how to understand the meaning expressed by the user in this case, and how to obtain the correlation between the scattered words of the user have become new problems
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[0059] The first embodiment of the present invention, figure 1 A flow chart of a method for obtaining associations between words in a user corpus provided by some embodiments of the present invention, including:
[0060] S100 obtains a syntax tree model through training, the syntax tree model includes a plurality of semantic slots, and connection relationships between the semantic slots;
[0061] S200 receives the words input by the user, invokes the syntax tree model, matches the words into the semantic slots, and forms entity semantic slots;
[0062] S300 Acquire the connection relationship between the entity semantic slots according to the connection relationship between the semantic slots, and then obtain the association relationship between the words.
[0063] Specifically, when S100 understands the user's semantics, the user's corpus is collected, the corpus is trained, and the syntax tree model is obtained. The syntax tree model in S100 includes multiple semantic slots...
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The invention relates to the technical field of auxiliary learning, and provides a method and system for acquiring association relationships among words in user corpus, and the method comprises the steps of obtaining a syntax tree model through training, the syntax tree model comprising a plurality of semantic slots and connection relationships among the semantic slots; receiving words input by auser, calling the syntax tree model, and matching the words into the semantic slots to form entity semantic slots; and obtaining a connection relationship between the entity semantic slots according to the connection relationship between the semantic slots, and further obtaining an association relationship between the words. By using the syntax tree model to perform semantic matching on the wordsinput by the user, the association relationship among some special words input by the user can be identified, so that the computer can understand the interaction information input by the user by usingthe natural language more accurately.
Description
technical field [0001] The invention relates to the technical field of assisted learning, in particular to a method and a system for acquiring associations between words in a user corpus. Background technique [0002] With the development of computer technology, the way humans interact with computers is constantly changing, and they begin to interact with computer languages. Only a few programmers who have mastered computer languages can smoothly convey instructions to computers. Such a language is complex and does not conform to the usage habits of human beings. Through continuous improvement, computer languages are more and more inclined to the usage habits of human languages. [0003] When traditional users use computers for assisted learning, they cannot bypass the need for timely interaction with computers. However, due to the complexity of computer languages, the efficiency of interaction is very low. They can only output instructions by selecting options written b...
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IPC IPC(8): G06F17/27G06F16/332
CPCY02D10/00
Inventor 魏誉荧
Owner GUANGDONG XIAOTIANCAI TECH CO LTD