Method and device for realizing natural language understanding in human-computer interaction system
A natural language understanding and human-computer interaction technology, applied in the field of natural language understanding, can solve problems such as the accuracy of performance-limited word segmentation methods, the inability to dynamically update dictionaries, and the flooding of dictionary knowledge, so as to provide acquisition efficiency and save manual labeling costs , the effect of improving performance
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[0105] In order to facilitate understanding of the embodiments of the present application, some terms or concepts used in the embodiments of the present application are firstly introduced below.
[0106] (1) Term disambiguation model
[0107] The input of the entry disambiguation model includes sentences and entry information, the entry information is used to represent the entries contained in the sentence, and the entry disambiguation model is used to judge the words represented by the entry information clause conforms to the semantics of the stated statement.
[0108] Wherein, the term information may represent one or more terms included in the sentence, and each term may be a reasonable term or an unreasonable term in the sentence. The reasonable term mentioned here refers to the term conforming to the semantics of the sentence, otherwise it is an unreasonable term.
[0109] For example, when the sentence is "I want to hear that it will rain tomorrow.", the entries in the...
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