Evaluation object extraction method based on domain dictionary and semantic roles
A technology for evaluating objects and semantic roles, which is applied in semantic analysis, natural language data processing, special data processing applications, etc., can solve the problems that the Chinese annotation corpus cannot fully excavate features and poor domain adaptability, and achieve flexible and diverse structures. The effect of accuracy
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[0034] The present invention will be further described below in conjunction with embodiment.
[0035] In this embodiment, the data set provided by the Sixth Chinese Opinion Analysis Evaluation (COAE2014 for short) task four is selected as the experimental corpus for the creation of domain dictionaries and the training of CRFs. In this corpus, each sentence contains a marked evaluation object (OT: is an evaluation object).
[0036] Step 1: Preliminarily filter the corpus S (mostly sentences in microblogs and forums) according to rules. The specific content of Rules is as follows:
[0037] Rule 1: Remove pure English sentences (currently mainly focus on the analysis of Chinese sentences);
[0038] Rule 2: Divide the sentence with " / / " and reverse the order of the clauses; for example, user a reposted user b's microblog "iphone5s is very beautiful.", and said "I like it very much!" in this microblog, In the corpus S, it is expressed as: "I like it very much! / / iphone5s is very...
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