Semantic relationship recognition method and device
A technology of semantic relationship and recognition method, applied in the field of deep learning, which can solve the problems of low semantic recognition accuracy and insufficient semantic understanding.
Active Publication Date: 2021-09-03
BEIJING UNIV OF POSTS & TELECOMM
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[0006] For this reason, this application proposes a semantic relationship recognition method to solve the technical problem of low semantic recognition accuracy caused by insufficient semantic understanding in the prior art
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[0028] The embodiments of the present application are described in detail below, and examples of the embodiments are illustrated in the drawings, wherein the same or similar reference numerals are indicated by the same or similar elements or elements having the same or similar functions. The following is exemplary, and is intended to be used to explain the present application without understanding the limitation of the present application.
[0029] The semantic relationship recognition method and apparatus of the present application embodiment will be described below with reference to the drawings.
[0030] figure 1 A flow chart of a semantic relationship recognition method provided by the embodiment of the present application embodiment.
[0031] The present application example is illustrated in the semantic relationship recognition method, which can be applied to any computer device to enable the computer device to perform semantics recognition.
[0032] Among them, computer eq...
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The present application proposes a semantic relationship recognition method and device, wherein the method includes: by obtaining a pair of text information and a knowledge graph of the semantic relationship to be recognized, inputting the knowledge graph into a preset graph neural network, and obtaining the graph neural network according to the entity word The set of entity words calculated by the similarity and relationship attributes between nodes, obtain the first entity word contained in each text information in a pair of text information, and determine the second entity whose correlation with the first entity word satisfies the preset condition Word node, determine the entity word vector corresponding to the second entity word in the entity word set, and generate a candidate semantic vector for each text information according to the entity word vector corresponding to the second entity word, according to a pair of text information Similar entity words and candidate semantic vectors calculate the target candidate semantic vectors of each text information, and determine the semantic similarity between a pair of text information according to the target candidate semantic vectors. As a result, the accuracy of semantic relationship recognition is improved.
Description
Technical field [0001] The present application relates to the field of deep learning techniques, and more particularly to a semantic relationship recognition method and apparatus. Background technique [0002] With the development of Internet technology, in the application of Internet technology, it is possible to understand the semantics of the user input statement, and the user's problem can match the appropriate content, which is an essential to the Internet intelligence. Semantic matching as one of the foundations of natural language understanding and challenging tasks, widely used in information retrieval, content recommendation, intelligent question and answer, question and answer system, repertoire identification, reading understanding and other Internet application scenarios. [0003] However, in the existing semantic matching system, there is no real understanding of the semantic content, more of the matching of keywords between sentences. For example, in web search, we ...
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IPC IPC(8): G06F16/33G06F16/36
CPCG06F16/3344G06F16/367
Inventor 鄂海红宋美娜赵文张文静
Owner BEIJING UNIV OF POSTS & TELECOMM