A Method for Extracting Unstructured Natural Language Information Based on 6w Semantic Labeling
An unstructured, natural language technology used in the information domain
Active Publication Date: 2017-06-06
KARAMAY HONGYOU SOFTWARE
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Problems solved by technology
[0003] The object of the present invention is to provide a kind of unstructured natural language information extraction method based on 6W semantic mark, thus solve the aforementioned problems existing in the prior art
Method used
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Embodiment 1
[0052] refer to figure 1 , a kind of unstructured natural language information extraction method based on 6W semantic mark, this extraction method, comprises the following steps:
[0053] S1, copy the metadata stored in the complete data metadata model in the database to the cache module to obtain the metadata copy text;
[0054] S2, performing text analysis on the unstructured natural language to obtain a file File 8 with data elements in the unstructured language;
[0055] S3, manually process the data element, then create an index file, and finally go through metadata registration, record and save the path of the file, and complete the extraction of the unstructured natural language information based on the 6W semantic mark;
[0056] The 6W refers to six scenes, specifically including: time scene, activity scene, object scene, location scene, participant scene and result scene, and data elements related to each scene are stored in the six scenes.
[0057] refer to figur...
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The invention discloses an unstructured natural language information extraction method based on 6W semantic annotation and relates to the technical field of information. The unstructured natural language information extraction method based on 6W semantic annotation includes the following steps that firstly, metadata stored in an integral data element data model in a database are copied to a cache, so that copying test of the metadata is obtained; secondly, test analysis is carried out on an unstructured natural language to obtain a file 8 with data elements of the unstructured language; thirdly, the data elements are processed manually, then an index file is built, and finally unstructured natural language information extraction based on 6W semantic annotation is completed by registering metadata and recording and saving file paths, wherein 6W is scene data of six dimensions. The unstructured natural language information extraction method based on 6W semantic annotation solves the problems that an existing information extraction method has high requirements for engineers compiling rules, time and labor are wasted, and needed information aggregate maximization can not be met.
Description
technical field [0001] The present invention relates to the field of information technology, in particular to a method for extracting unstructured natural language information based on 6W semantic tags. Background technique [0002] Information extraction technology is to structurally process the information contained in the text into a table-like organizational form. It originated from natural language processing and was the first tool to process free text. However, with the rise of the Internet, the amount of structured text and semi-structured text has continued to surge, causing scientists to widely apply information extraction technology to these two types of text. Therefore, the existing information extraction technology is responsible for how to describe text and how to learn features. Responsibility: Among them, how to describe the text is to use features to describe the text; the basis of how to learn features is the knowledge engineering method and automatic train...
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IPC IPC(8): G06F17/30
CPCG06F16/313
Inventor 贾磊
Owner KARAMAY HONGYOU SOFTWARE