Semantic parsing method and apparatus

An apparatus for parsing semantics, the apparatus comprising:

• a processor and a memory storing computer readable instructions, wherein the instructions, when executed, cause the processor to perform operations, the operations comprising:
• receiving semantic information inputted by a user;
• parsing the semantic information to obtain a primary text feature of an associated service;
• calculating a similarity degree between the primary text feature and a linguistic data feature in a corpus;
• using a linguistic data to which a linguistic data feature most similar to the primary text feature belongs, as a primary parsing text;
• extracting a feature of the primary parsing text to obtain a secondary text feature;
• obtaining a service feature matching the secondary text feature in a service feature database and a service field to which the obtained service feature belongs;
• obtaining a weight value associated with the obtained service feature in a service feature weight database;
• using a service field to which a service feature having a greatest weight value belongs, as a service field to which the primary parsing text belongs;
• and
• parsing the primary parsing text in the service field to which the primary parsing text belongs, to obtain a secondary parsing text.

A non-volatile computer storage medium, storing computer readable instructions executable by a processor, wherein when executed, the computer readable instructions cause the processor to perform operations, the operations comprising:

• receiving semantic information inputted by a user;
• parsing the semantic information to obtain a primary text feature of an associated service;
• calculating a similarity degree between the primary text feature and a linguistic data feature in a corpus;
• using a linguistic data to which a linguistic data feature most similar to the primary text feature belongs, as a primary parsing text;
• extracting a feature of the primary parsing text to obtain a secondary text feature;
• obtaining a service feature matching the secondary text feature in a service feature database and a service field to which the obtained service feature belongs;
• obtaining a weight value associated with the obtained service feature in a service feature weight database;
• using a service field to which a service feature having a greatest weight value belongs, as a service field to which the primary parsing text belongs;
• and
• parsing the primary parsing text in the service field to which the primary parsing text belongs, to obtain a secondary parsing text.