Natural language processing method, device and system based on semanteme recognition
A natural language processing and language technology, applied in the field of natural language processing and/or search, can solve problems such as low retrieval quality, incomplete search, and inability to provide efficient and accurate feedback
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example 2
[0083] By analyzing the above two examples, it can be found that:
[0084] "Rural tourism", "Chinese tourism" and "tourism development" are equivalent to the variables in Example 1, because by replacing the corresponding parts (ie variables), their semantic meaning can basically be preserved. And "x is an important part of x and an important support to promote x" (where x represents blank) is equivalent to the linear structure of Example 1, which is the constant of language, because the meaning of language is hidden in this linear structure.
[0085] Similarly, "China's economy", "world economy", and "global financial stability" are equivalent to the variables in Example 2, because by replacing the corresponding parts (ie variables), their semantics can basically be preserved. And "x is an important component of x and an important support to promote x" (where x represents blank) is equivalent to the linear structure of Example 2, which is the constant of language, because the ...
example 4
[0092] By analyzing the above two examples, it can be found that "Avatar" and "China" are equivalent to the variables in Example 3, because by replacing the corresponding parts (ie variables), their semantic meaning can basically be preserved. And "x craze sweeps x". (where x represents blank) is equivalent to the linear structure of example 3, which is the constant of language, because the meaning of language is hidden in this linear structure.
[0093] Similarly, "stock trading" and "world" are equivalent to the variables in Example 4, because by replacing the corresponding parts (ie variables), their semantics can basically be preserved. And "x boom sweeps x" (where x represents blank) is equivalent to the linear structure of example 4, which is the constant of language, because the meaning of language is hidden in this linear structure.
[0094] It can be found that the linear structure of the two examples is the same, the difference is only in the variables. "X craze swe...
example 8
[0100] By analyzing the above four examples, it can be found that:
[0101] "They", "European Commission" and "Application for Market Economy Treatment of Chinese Enterprises" are equivalent to the variables in Example 5, because by replacing the corresponding parts (namely variables), their semantic meaning can basically be preserved. And "x appeals to x to treat x objectively and fairly" (where x represents blank) is equivalent to the linear structure of example 5, which is a constant of language, because the meaning of language is hidden in this linear structure.
[0102] Similarly, "FIFA", "Ireland" and "the result of the World Cup qualifier against France" are equivalent to the variables in Example 6, because by replacing the corresponding parts (ie variables), their semantics can basically be preserved. And "x appeals to x to treat x objectively and fairly" (where x represents blank) is equivalent to the linear structure of example 6, which is a constant of language, bec...
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