Method and system for parsing dependency of noun phrases

A technology that depends on syntax and noun phrases, and is applied in special data processing applications, instruments, and electronic digital data processing, etc., and can solve the problems that the accuracy of analysis cannot be guaranteed, and achieve the effect of ensuring effectiveness

Inactive Publication Date: 2015-04-15
北京牡丹电子集团有限责任公司数字科技中心
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Problems solved by technology

[0011] The technical problem to be solved by the present invention is that, based on the traditional dependency syntax analysis algorithm, it focuses more on the analysis of the whole sentence, which leads to the inadequacy of the accuracy of the analysis when encountering a sentence with a complex structure; Based on the conversion method and the graph method, the method and system for analyzing the dependency syntax of noun phrases are improved on the basis of the simple edge-first algorithm

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  • Method and system for parsing dependency of noun phrases
  • Method and system for parsing dependency of noun phrases
  • Method and system for parsing dependency of noun phrases

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Embodiment Construction

[0061] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0062] like figure 1 As shown, it is a method for performing dependent syntactic analysis on noun phrases according to the present invention, which specifically includes the following steps:

[0063] Step 1: Mark the phrases with known dependencies in the corpus database to obtain the training corpus;

[0064] Step 2: The SVM classifier calls the training function that comes with the SVM, completes the training based on the training corpus, and obtains a stable SVM classifier;

[0065] Step 3: Based on the training function, use the discriminant algorithm to iterate the weight vector with an initial value of zero until the weight vector is stable, and obtain a stable weight vector;

[0066] Step 4: receiving the ...

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Abstract

The invention relates to a method and a system for parsing dependency of noun phrases. The method includes the steps: 1 training a weight vector and an SVM (support vector machine) classifier based on a language material database to obtain a stable weight vector and a stable SVM classifier; 2 receiving and preprocessing the phrases to be analyzed to obtain at least two terms in specified formats; 3 analyzing all the terms to obtain a dependency parsing tree. The method can be decomposed into two steps: firstly, recognizing complicated noun phrases in a sentence and parsing dependency by the method; secondly, replacing the complicated noun phrases in the original sentence by an obtained substructure to reduce complexity of the sentence. As an algorithm is an improved simple side priority algorithm, high efficiency of the algorithm is kept. As the noun phrases are short and not obvious enough in characteristic, the SVM classifier is used for determining a dependency direction, and effectiveness of the algorithm is ensured.

Description

technical field [0001] The invention relates to a method and a system for performing dependency syntax analysis on noun phrases, belonging to the technical field of language processing. Background technique [0002] Dependency parsing has received more and more attention in the fields of natural language processing such as information extraction and machine translation in recent years. In theory, it is rooted in dependency grammar, focusing on the syntactic dependencies between words. [0003] For the research on the semantic structure of noun phrases, at present, it mainly focuses on the semantic interpretation of NN noun phrases, and the main task is to automatically obtain the implicit semantic relationship between modifiers and head words. There are generally two strategies: [0004] Top-down strategy (top-down strategy), this method first defines a good set of relations, and then assigns appropriate relations to each noun phrase. [0005] Bottom-up strategy (bottom-u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 滕顺祥陈永波姬东鸿白旭
Owner 北京牡丹电子集团有限责任公司数字科技中心
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