Evaluation object extraction method based on domain dictionary and semantic roles

Abstract

The invention relates to an evaluation object extraction method based on a domain dictionary and semantic roles and belongs to the field of natural language processing application technologies. The evaluation object extraction method based on the domain dictionary and the semantic role comprises the following steps that firstly, according to the information of the part of speech, dependency information and semantic role information, the domain dictionary DL of evaluation objects is established; secondly, the characteristics in the four aspects of words, dependency, relative positions and the semantic roles are fully extracted, model training and prediction are carried out on the DL and the characteristics through conditional random fields (CRFs), and then the extraction of the evaluation objects is completed. Compared with the prior art, according to the characteristics that the structures of Chinese sentences, especially Chinese sentences of microblogs and forum evaluation information are flexible and diverse, the constructive methods are variable, and the number of the characteristics of the sentences is small, the syntax of different levels and the semantic information are fully utilized, the advantages of the evaluation object extraction method based on rules and machine learning are also utilized, the evaluation object with a high confidence coefficient is found from a corpus automatically, rapidly and accurately, and the accuracy of extraction of the evaluation objects of the Chinese sentences is improved.

Description

technical field [0001] The invention relates to a method for extracting evaluation objects of Chinese sentences, in particular to an evaluation object extraction method based on domain dictionaries and semantic roles, and belongs to the technical field of natural language processing applications. Background technique [0002] With the development of the Internet, especially web2.0, more and more people not only obtain information through the Internet, but also participate in more communication on the Internet. The formation and development of blogs, microblogs, and forums have greatly changed the way people use the Internet. With the development of the Internet, it is becoming more and more difficult to understand the massive information on the Internet by artificial means, and to integrate and analyze the information on the Internet. It is against such an application background that the technology of capturing and analyzing web texts emerges as the times require. Due to t...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing rule-based evaluation object extraction method has poor domain adaptability, and the machine learning-based method cannot fully mine the characteristics of the limited Chinese annotation corpus, and proposes a Chinese based on domain dictionary and semantic roles. Sentence Evaluation Object Extraction Method

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