Accuracy of QA systems by normalizing logical queries

A system for processing logical queries, comprising:

• a memory storing computer instructions;
• and
• a processor configured to execute the computer instructions to:
• input a query as query data;
• generate a paraphrase from the query data, wherein the computer instructions to generate the paraphrase further comprise:
• construct a vector of a dependency path;
• and
• feed the vector of the dependency path to a neural network for learning a similarity of a pair of verbal paraphrases from the query data;
• and
• extract one or more words from the query data;
• rephrase the one or more words while preserving a logic intent of the query data;
• and
• provide a pattern, wherein the pattern encodes a condition under which the phrase is a paraphrase, and wherein the paraphrase expresses a same meaning;
• and
• normalize the generated paraphrases according to predefined annotations of a schema, wherein the computer instructions to normalize the generated paraphrase further comprise:
• compare the paraphrase generated with a schema annotation list;
• and
• responsive to determining a match is not found in the comparison of the paraphrase generated with the schema annotation list, update the schema annotation list.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions readable and executable by a computer to cause the computer to perform a method, comprising:

• inputting a query as query data;
• generating a paraphrase from the query data, wherein generating the paraphrase further comprises:
• constructing a vector of a dependency path;
• feeding the vector of the dependency path to a neural network for learning a similarity of a pair of verbal paraphrases from the query data;
• and
• extracting one or more words from the query data;
• rephrasing the one or more words while preserving a logic intent of the query data;
• and
• providing a pattern, wherein the pattern encodes a condition under which the phrase is a paraphrase, and wherein the paraphrase expresses a same meaning;
• and
• normalizing the generated paraphrases according to predefined annotations of a schema, wherein normalizing the generated paraphrase further comprises:
• comparing the paraphrase generated with a schema annotation list;
• and
• responsive to determining a match is not found in the comparison of the paraphrase generated with the schema annotation list, updating the schema annotation list.