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US 2020/0004786 A1Published application
Corpus generating method and apparatus, and human-machine interaction processing method and apparatus
AssigneeAlibaba Group Holding Limited
InventorXiaojun WANG
Life of this patent
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Abstract
Embodiments of the present specification provide a corpus generating method and apparatus, and a human-machine interaction processing method and apparatus, wherein the corpus generating method comprises: generating a corpus vector according to corpus content; determining a vector type of the corpus vector; and generating, according to the vector type and the corpus vector, a corpus having an inverted chain index.
Claims20
A corpus generating method, implementable by a computing device, the method comprising:
- generating a corpus vector according to corpus content;
- determining a vector type of the corpus vector;
- and
- generating, according to the vector type and the corpus vector, a corpus having an inverted chain index.
1 more element
A corpus generating apparatus, comprising:
- one or more processors and one or more non-transitory computer-readable memories coupled to the one or more processors and configured with instructions executable by the one or more processors to cause the apparatus to perform operations comprising:
- generating a corpus vector according to corpus content;
- determining a vector type of the corpus vector;
- and
- generating, according to the vector type and the corpus vector, a corpus having an inverted chain index.
2 more elements
A human-machine interaction processing method, comprising:
- generating a human-machine interaction input vector according to a human-machine interaction input;
- determining, according to the human-machine interaction input vector, n closest corpus vectors from a corpus, wherein n is a positive integer equal to or greater than one;
- determining a confidence level of corpus content corresponding to each of the n closest corpus vectors, and determining target corpus content according to the confidence levels;
- and
- generating a response corresponding to the human-machine interaction input according to the target corpus content.
2 more elements
Dependencies are inferred from the claim text.