Systems and methods for enhanced review comprehension using domain-specific knowledgebases

A method performed by a comprehension system for natural language processing, the method comprising:

• receiving input text;
• extracting, from the input text, at least one modifier and aspect pair;
• receiving data from a knowledgebase;
• based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings;
• convert the input text into tokens;
• generating at least one vector for one or more of the tokens based on an analysis of the tokens;
• combine the at least one vector with the one or more premise embeddings to create at least one combined vector;
• and
• analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.

A review comprehension system comprising:

• one or more memory devices storing processor executable instructions;
• and
• one or more processors configured to execute the instructions to cause the review comprehension system to perform:
• receiving input text;
• extracting, from the input text, at least one modifier and aspect pair;
• receiving data from a knowledgebase;
• based on the at least one modifier and aspect pair and commonsense data, generate one or more premise embeddings;
• convert the input text into tokens;
• generating at least one vector for one or more of the tokens based on an analysis of the tokens;
• combine the at least one vector with the one or more premise embeddings to create at least one combined vector;
• and
• analyze the at least one combined vector wherein the analysis generates an output indicative of a feature of the input text.