Target object state recognition method and device, electronic equipment and storage medium
A target object and state recognition technology, which is applied in the fields of electrical digital data processing, instruments, unstructured text data retrieval, etc. and other problems to achieve the effect of improving efficiency and accuracy, reducing the influence of subjective consciousness, and realizing timely updates.
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example 1
[0126] Example 1: For the target sentence: the police in city A successfully destroyed platform X, where platform X is the default object word, destroy is the default state word, and the target operation is destroy. The results output by the lexical analysis module are as follows Figure 6A shown. Among them, the word segmentation result of the sentence is: city A|police|success|destroyed|platform X, which is divided into 5 words in total.
[0127] Depend on Figure 6A It can be seen that the 0th word in the analysis results is fixed as the root root node, the first word is: A city, the part of speech is ns (geographical name), which represents a geographic location noun, and the second word is: police, the part of speech is n (general noun), representing a general noun. The third word is: success, the part of speech is a (adjective), representing a general adjective. The fourth word is: destroy, the part of speech is v (verb), which represents a general verb. The fifth w...
example 2
[0129] Example 2: For the target sentence: platform X and platform Y have been investigated and dealt with one after another, platform X and platform Y are preset object words, and the investigation and treatment are preset state words, and the target operation is investigation and treatment. The results output by the lexical analysis module are as follows: Figure 6B As shown, wherein, the result of word segmentation of the sentence is: X platform| and |Y platform| successively|be|investigated and dealt with, which are divided into 6 words in total.
[0130] Depend on Figure 6B It can be seen that the 0th word in the analysis results is fixed as the root node, the first word is: X platform, the part of speech is nh, the second word is: and, the part of speech is c (conjunction), representing a general conjunction. The third word is: Y platform, part of speech is n. The fourth word is: successive, the part of speech is d (adverb), representing a general adverb. The fifth wo...
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