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Sentence meaning composition relationship lamination identification method based on central blocks

A relational identification, center block technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as rare research

Inactive Publication Date: 2013-06-26
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

At present, natural language processing generally uses shallow sentence analysis as the underlying technology, and there is little research on deeper sentence analysis

Method used

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  • Sentence meaning composition relationship lamination identification method based on central blocks
  • Sentence meaning composition relationship lamination identification method based on central blocks
  • Sentence meaning composition relationship lamination identification method based on central blocks

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Experimental program
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Embodiment Construction

[0097] In order to better illustrate the purpose and advantages of the present invention, the implementation of the method of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0098] The data source used in the experiment This experiment uses the BIT-BFS tagged corpus as the training and test data of the experiment, with a total of 6347 sentences. The specific composition is shown in Table 7.

[0099] Table 7 Data source information used in the experiment

[0100]

[0101] The above 2 test procedures will be described one by one below, all tests are completed on the same computer, the specific configuration is: Intel dual-core CPU (main frequency 3.0G), 2.00G memory, WindowsXP SP3 operating system.

[0102] All the experimental results in this paper are evaluated by the PARSEVAL analysis and evaluation system. It is mainly composed of two parts: Precision (reflecting accuracy) and recall (Recall, ...

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Abstract

The invention relates to a sentence meaning composition relation lamination identification method based on central blocks, and belongs to the technical field of computer science and Chinese information processing. The sentence meaning composition relation lamination identification method based on the central blocks is based on contemporary Chinese language semantics, and solves the problem of Chinese sentence meaning composition relation identification in a Chinese sentence meaning structural model. The sentence meaning composition relation lamination identification method based on the central blocks gives a concept of 'layer central block' firstly, and achieves effective mapping from a syntactic structure to a sentence meaning structure. A sentence meaning composition relations identification problem is divided into three layer relation identification problems, namely a relation between predicates, a relation between basic case and the predicates, and a relation between general case and sentence meaning compositions. Central block identification algorithm, basic case identification algorithm, general case identification algorithm, identification algorithm of the relation between the predicates, identification algorithm of the relation between the basic case and the predicates, identification algorithm of the relation between the general case and the sentence meaning compositions are respectively provided. A computer can analyze and acquire the sentence meaning composition relation in high accuracy rate and efficiency, and study of the Chinese sentence meaning structural model is further promoted.

Description

technical field [0001] The invention relates to a hierarchical recognition method for sentence meaning component relations based on a central block, and belongs to the technical fields of computer science and Chinese information processing. Background technique [0002] With the explosive growth of information, people are more and more urgently needing computers to better understand the meaning contained in natural language. Therefore, sentence analysis is becoming more and more urgent. Chinese, as a language of meaning, pays special attention to the mastery and analysis of sentence meaning. Sentence analysis is to analyze the meaning of a sentence, using a formalized structure to reflect the sentence meaning (sentence meaning), that is, to analyze the semantic relationship between content words and content words in the sentence structure, according to the syntactic structure of the sentence and the meaning of each content word in the sentence Deduce a certain formal struct...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 罗森林魏超潘丽敏韩磊
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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