Man-machine collaborative construction method for domain term semantic knowledge base

Abstract

The invention discloses a man-machine collaborative construction method for a domain term semantic knowledge base. The method comprises the following steps: based on a HowNet semantic theory system, four key processes are collaboratively constructed according to the characteristics of terms and comprises term internal dependency structure analysis, term internal word meaning item auxiliary selection, term internal dynamic role relation auxiliary judgment and term DEF generation. According to the term internal dynamic role relation auxiliary judgment method, three judgment methods are provided,and the three judgment methods are a maximum entropy classifier and similarity-based method combination, a KNN classification method based on first-meaning original pre-selection and an active learning method based on KNN. According to the method, a domain term semantic knowledge base is constructed from the term semantic level according to the thought from bottom to top, and the relation type between terms in terms is judged from the semantic level and the statistical level; under the condition that the training corpus is not sufficient, the model can still obtain a good effect.

Description

technical field [0001] The invention relates to a semantic knowledge base, in particular to a man-machine collaborative construction method for a domain term semantic knowledge base. Background technique [0002] Semantic knowledge base is an important basic language resource, which can provide rich semantic knowledge for natural language processing tasks, and is often widely used in tasks such as word sense disambiguation, machine translation, information retrieval, and automatic question answering. At present, researchers at home and abroad have built many large-scale semantic knowledge bases. The semantic knowledge bases widely used abroad mainly include WordNet, FrameNet, MindNet, OpenCYC, etc. The relatively mature semantic knowledge bases in China include HowNet (HowNet), CCD (the Chinese Concept Dictionary, Chinese Concept Dictionary), CFN (Chinese FrameNet), "Modern Chinese Predicative Verb Machine Dictionary" and so on. Most of these semantic knowledge bases are or...

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Problems solved by technology

[0004] In view of the low efficiency of manual construction methods in the prior art and the inability to ensure accuracy in fully automated methods, the problem to be solved in the present invention is to provide a human-computer collaborative construction of domain term semantic knowledge base that can ensure the accuracy of domain concept description generation method

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