Automatic extraction method for case semantic elements
An automatic extraction and element technology, applied in the field of natural language processing and machine learning, can solve problems such as vocabulary gap, algorithm performance impact, characterize word and word similarity, etc., so as to improve extraction efficiency, improve case handling efficiency, and reduce manual extraction cost effect
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[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0020] The embodiment of the present invention provides a method for automatically extracting semantic elements of a case, such as figure 1 As shown, including the following steps:
[0021] S1. First, according to the possible part of speech of the elements, use the pre-trained sequence tagging module to tag the brief case, and identify the nouns, verbs and gerunds inside; if the item involved is a noun, the tool of committing the crime is...
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