Spatial relation extraction method and device based on semantic dependency

A spatial relationship and semantic technology, applied in semantic analysis, neural learning methods, natural language data processing, etc., can solve problems such as poor scalability, manual design of training classifiers, and inability to handle spatial relationships, achieving high accuracy and universal The effect of strong chemical performance
CN113190655AActive Publication Date: 2021-07-30NANJING UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV
Publication Date
2021-07-30

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Abstract

The invention discloses a spatial relationship extraction method and device based on semantic dependency, and the method comprises the steps: constructing a semantic dependency recognition model, extracting a spatial relationship tuple from an unstructured text, firstly, defining semantic dependency types, namely a trigger word-containing role type and a trigger word-free role type; then inputting a to-be-recognized text and pre-labeled space elements into a semantic dependency recognition model based on the deep self-attention network, and obtaining all semantic dependency recognition results among the space elements in combination with the defined semantic dependency type; and finally, combining the obtained semantic dependency recognition results, and outputting a complete spatial relationship tuple. According to the method, a spatial relationship extraction problem is converted into a semantic dependency recognition problem, and various spatial relationships including a spatial relationship containing a trigger word and a spatial relationship not containing the trigger word can be processed at the same time; according to the method, the spatial semantic information in the text can be effectively expressed, the semantic dependence among the spatial elements is extracted, manual feature design is not needed, the generalization performance is high, and the accuracy rate is high.
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Description

Technical field

[0001] The present invention belongs to the technical field of natural language processing, and related to information extraction techniques, a spatial relationship extraction method and apparatus based on semantic dependence. Background technique

[0002] With the rapid development of the Internet information industry and the arrival of network big data ages, network data has grown rapidly, and people expect to quickly and efficiently excavate useful information from massive data.

[0003] The text contains rich spatial information. The meaning of spatial information is relatively wide, generally reflects information about the spatial distribution characteristics of objective objects, such as its own position, spatial structure, and association with other objects on spatial distribution. Understanding spatial information in natural language can provide underlying support for application systems in different fields, for example: for question and answer systems, ca...

Claims

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