Dynamic attribute extraction systems and methods for artificial intelligence platform

A system for dynamic attribute extraction, the system comprising:

• a processor;
• a non-transitory computer-readable medium;
• and
• instructions stored on the non-transitory computer-readable medium and translatable by the processor for:
• receiving, from a requester on a user device, a text mining request with input text;
• applying a dynamic attribute extraction rule to the input text, wherein the dynamic attribute extraction rule describes a relationship pattern, defines named entities that are part of the relationship pattern, and specifies what action to take with respect to the relationship pattern, wherein the applying comprises:
• dynamically recognizing the named entities from the input text;
• identifying one of the named entities dynamically recognized from the input text as a trigger;
• based on the dynamic attribute extraction rule, determining that the trigger is part of the relationship pattern described in the dynamic attribute extraction rule;
• based on the relationship pattern, locating, from the named entities dynamically recognized from the input text, an object and a subject that are in close proximity to the trigger, the subject comprising a value or regular expression;
• and
• based on the action, dynamically extracting the value from the input text or translating the regular expression to produce a result;
• assigning or attaching, to the object, the value thus dynamically extracted from the input text or the result from the translating as a dynamic attribute of the object, which is one of the named entities;
• and
• storing the dynamic attribute for use by a downstream computing facility or returning, to the requester on the user device, the dynamic attribute in response to the text mining request.

A computer program product for dynamic attribute extraction, the computer program product comprising a non-transitory computer-readable medium storing instructions translatable by a processor for:

• receiving, from a requester on a user device, a text mining request with input text;
• applying a dynamic attribute extraction rule to the input text, wherein the dynamic attribute extraction rule describes a relationship pattern, defines named entities that are part of the relationship pattern, and specifies what action to take with respect to the relationship pattern, wherein the applying comprises:
• dynamically recognizing the named entities from the input text;
• identifying one of the named entities dynamically recognized from the input text as a trigger;
• based on the dynamic attribute extraction rule, determining that the trigger is part of the relationship pattern described in the dynamic attribute extraction rule;
• based on the relationship pattern, locating, from the named entities dynamically recognized from the input text, an object and a subject that are in close proximity to the trigger, the subject comprising a value or regular expression;
• and
• based on the action, dynamically extracting the value from the input text or translating the regular expression to produce a result;
• assigning or attaching, to the object, the value thus dynamically extracted from the input text or the result from the translating as a dynamic attribute of the object, which is one of the named entities;
• and
• storing the dynamic attribute for use by a downstream computing facility or returning, to the requester on the user device, the dynamic attribute in response to the text mining request.