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Natural language semantic comprehension method and system

A technology of semantic understanding and natural language, applied in the fields of electronic digital data processing, special data processing applications, instruments, etc., can solve the problems of not getting the results of semantic understanding, only processing relatively simple texts, and prone to errors in semantic understanding, etc. achieve the effect of improving accuracy

Inactive Publication Date: 2016-11-23
IFLYTEK CO LTD +1
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Problems solved by technology

The existing ontology-based natural language semantic understanding method mainly extracts natural words from natural language texts, and then maps the natural words to the ontology words, obtains the corresponding triples in the ontology knowledge base, and combines the triple information To get the result of semantic understanding, this method can only deal with relatively simple text. When the sentence structure of the text to be parsed is complex, the semantic understanding is prone to errors, and the correct semantic understanding result cannot be obtained.

Method used

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  • Natural language semantic comprehension method and system
  • Natural language semantic comprehension method and system
  • Natural language semantic comprehension method and system

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Embodiment Construction

[0048] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and implementations.

[0049] Such as figure 1 Shown is the flowchart of the natural language semantic understanding method of the embodiment of the present invention, comprising the following steps:

[0050] Step 101, obtain the text to be parsed.

[0051] Step 102, perform word segmentation and part-of-speech tagging on the text to be parsed.

[0052] Specifically, a conditional random field-based method may be used to perform word segmentation and part-of-speech tagging on the text to be processed. Of course, other methods can also be used for word segmentation and part-of-speech tagging. For example, the longest word matching can be used for word segmentation, and methods based on HMM (Hidden Markov Model, Hidden Markov Model) c...

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Abstract

The present invention discloses a natural language semantic understanding method and system. The method includes: obtaining text to be parsed; performing word segmentation and part-of-speech tagging on the text to be parsed; performing syntactic analysis on the text after word segmentation based on context-related information, and obtaining the Describe the natural word-dependent syntactic tree of each sentence in the text to be processed; construct a semantic tree according to the natural word-dependent syntactic tree and the pre-built ontology knowledge base; use the semantic tree to obtain semantic understanding results. The invention can improve the correctness and flexibility of natural language semantic understanding.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a natural language semantic understanding method and system. Background technique [0002] With the rapid development of Internet technology, people are increasingly eager to communicate with machines freely. As the main link to realize human-computer communication, natural language understanding has become a research hotspot for researchers. In recent years, the ontology knowledge base has been widely used in the field of natural language understanding because of its good semantic concept level, it is easy to find out the implicit connection between resources, and organize resources effectively. The existing ontology-based natural language semantic understanding method mainly extracts natural words from natural language texts, and then maps the natural words to the ontology words, obtains the corresponding triples in the ontology knowledge base, and combines...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
Inventor 吴及贺志阳胡国平吕萍王影胡郁刘庆峰
Owner IFLYTEK CO LTD
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