Retrieval processing method
A processing method and document technology, applied in the field of retrieval, can solve problems such as query failure, slow query speed, and large amount of retrieved data, and achieve the effect of improving retrieval efficiency
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Embodiment 1
[0045] Such as figure 1 As shown, this embodiment provides a retrieval processing method, including:
[0046] 11. Obtain a question, and extract at least one keyword from the question.
[0047] 12. Determine a massive document library for retrieving answers corresponding to the questions.
[0048] 13. According to the degree of association with the at least one keyword, extract documents associated with the question from the massive document library to form an associated document set;
[0049] 14. Retrieve a result corresponding to the question from the associated document set.
[0050] In one embodiment, according to the degree of association with the at least one keyword, extracting documents associated with the question from the massive document library to form an associated document set includes:
[0051] Obtain the subject of each document in the massive document library, match each keyword in the at least one keyword with the subject of each document in the massive do...
Embodiment 2
[0086] This embodiment describes in detail the retrieval processing method of the embodiment of the present invention in combination with specific examples, such as figure 2 As shown, the method includes:
[0087] 21. Obtain a massive document library.
[0088] The massive document library used in this embodiment stores a large number of documents, and the documents contained in the massive document library are Doc1, Doc2, Doc3....
[0089] 22. Obtain questions and process them to get keywords.
[0090] For example, Doc1 is an article introducing chrysanthemum tea, and the input question is "what is the growth and change of chrysanthemum tea?" When preprocessing the question, the problem is analyzed and processed, including stop words (for example, of), Error correction (change), processing of word segmentation, deletion of non-keywords (words), and conversion of questions into keywords: chrysanthemum tea, growth environment.
[0091] 23. Perform topic matching and semanti...
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