Refining training sets and parsers for large and dynamic text environments

A device for generalizing a semantically matched knowledge structure, comprising:

• at least one memory and at least one processor, wherein the at least one memory and the at least one processor are respectively configured to store and execute instructions for causing the device to perform operations, the operations comprising:
• receiving a first text sequence;
• receiving at least one constraint that is associated with a manner of matching text;
• constraint matching the first text sequence with a second text sequence based on the at least one constraint;
• generating a matched text sequence based on the constraint matching of the first text sequence with the second text sequence;
• generalizing the semantically matched knowledge structure based on the matched text sequence;
• and
• returning the generalized semantically matched knowledge structure for use in an automated conversation generation system.

A method for generalizing a semantically matched knowledge structure, comprising:

• receiving a first text sequence;
• receiving at least one constraint that is associated with a manner of matching text;
• constraint matching the first text sequence with a second text sequence based on the at least one constraint;
• generating a matched text sequence based on the constraint matching of the first text sequence with the second text sequence;
• generalizing the semantically matched knowledge structure based on the matched text sequence;
• and
• returning the generalized semantically matched knowledge structure for use in an automated conversation generation system.