Method and device for classifying semantic relationships among entity words

A technology of semantic relations and entity words, which is applied in the field of information processing and can solve time-consuming problems

Active Publication Date: 2017-02-15
FUJITSU LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Traditional methods for classifying the semantic relations of entity words are mainly based on statistical machine learning, and their performance depends greatly on the quality of the extracted features (grammatical and semantic structure), which is very time-consuming and depends on domain knowledge

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  • Method and device for classifying semantic relationships among entity words
  • Method and device for classifying semantic relationships among entity words
  • Method and device for classifying semantic relationships among entity words

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Embodiment Construction

[0017] Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in this specification. It should be understood, however, that in developing any such practical embodiment, many implementation-specific decisions must be made in order to achieve the developer's specific goals, such as meeting those constraints related to the system and business, and those Restrictions may vary from implementation to implementation. Moreover, it should also be understood that development work, while potentially complex and time-consuming, would at least be a routine undertaking for those skilled in the art having the benefit of this disclosure.

[0018] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the device structure and / or processing steps closely related to the ...

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Abstract

The invention relates to a method and a device for classifying semantic relationships among entity words. The method comprises the following steps of: representing each word in a sentence by word embedding to construct a first matrix, and concatenating the word embedding of the entity word in the first matrix to obtain first entity word embedding; processing the first matrix by a deep learning model to obtain a second matrix, and concatenating the word embedding of the entity word in the second matrix to obtain second entity word embedding; carrying out pooling processing on the second matrix to obtain sentence level characteristics; concatenating the first entity word embedding with the second entity word embedding to obtain lexical level characteristics; and taking embedding obtained by concatenating the sentence level characteristics with the lexical level characteristics as embedding to be classified, inputting the embedding to be classified into a pre-stored classification model to determine the semantic relationships among the entity words. According to the invention, a more effective method and device for classifying the semantic relationships among the entity words is provided.

Description

technical field [0001] The present invention relates to the field of information processing, and more specifically relates to a method and device for classifying semantic relations of entity words. Background technique [0002] Traditional methods for classifying the semantic relations of entity words are mainly based on statistical machine learning, and their performance depends greatly on the quality of the extracted features (grammatical and semantic structure), which is very time-consuming and depends on in domain knowledge. [0003] Therefore, there is a need for a more effective method and device for classifying the semantic relationship of entity words. Contents of the invention [0004] A brief overview of the invention is given below in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to identify key or critical parts of the inven...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/35G06F16/36G06F40/30
Inventor 张姝杨铭孙俊
Owner FUJITSU LTD
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