Method and equipment for recalling sentence template based on seed sentence

Abstract

The invention provides a method and equipment for recalling a sentence template based on a seed sentence. The method specifically comprises the following steps of obtaining corpuses, and determining a dependency syntax tree of each sentence of each corpus, wherein the number of corpuses exceeds a certain value, and each corpus relates to the seed sentence; according to the structure similarity of the dependency grammar trees, recalling each sentence in each corpus based on a tree structure of a dependency grammar tree of the seed sentence, and determining recalled sentences; calculating the similarity between the recalled sentences and the seed sentence, and determining the relevancy between each recalled sentence and the seed sentence; according to the relevancy, selecting a recalled sentence as the sentence template. The method at least has one of the following characteristics that the type of the recalled sentences is richer; the recalled sentences basically have no grammar mistake; components of the recalled sentences are richer; the semantics deviation of the recalled sentences is little; the recalled sentences are designed with a template, and an artificial template is not needed.

Description

Technical field [0001] The invention relates to the field of information processing, in particular to a method and equipment for recalling sentence templates based on seed sentences. Background technique [0002] In the prior art, most of the similarity calculations for sentence templates are calculated based on the similarity of words. However, according to the calculation of word similarity, because it is only a partial word replacement, the newly recalled sentence is often very similar to the seed sentence; this will cause the diversity of the recalled sentence to be very poor; moreover, because it is only the word in the sentence Similar replacement, and whether the replaced word is also used in the same sentence, in this case, the recalled sentence is probably wrong. Summary of the invention [0003] Aiming at the defects in the prior art, the present invention proposes a method and device for recalling sentence templates based on seed sentences to overcome the defects in th...

AI Technical Summary

Problems solved by technology

However, according to the similarity calculation of words, since only part of the words are replaced, the newly recalled sentences are often very similar to the seed sentences; in this way, the diversity of the recalled sentences will be poor; Similar replacement, and whether the replaced word is also used in the same sentence, in this case, the recalled sentence is likely to be wrong

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