Systems and methods for deviation detection, information extraction and obligation deviation detection

A system comprising memory and one or more processors communicatively coupled to the memory, the one or more processors configured to:

• receive a standard text and a review text;
• analyze the standard text and the review text to identify portions of the standard text and the review text relevant to an input point of interest, wherein the standard text and the review text are analyzed by:
• selecting a first set of portions from the review text and a second set of portions from the standard text,
• selecting at least one word of the input point of interest as a query word, and
• estimating a likelihood of the query word in document language models associated with respective portions of the first set of portions from the review text and respective portions of the second set of portions from the standard text;
• and
• display, based on the likelihood of the query word and via a user interface, a portion of text identified in the review text as relevant to the point of interest while also displaying any deviations therein from a portion of text identified in the standard text as being relevant to the point of interest.

A computer program product, stored on a non-transitory computer readable medium, comprising instructions that when executed by one or more processors cause the one or more processors to:

• receive a standard text and a review text;
• analyze the standard text and the review text to identify portions of the standard text and the review text relevant to an input point of interest, wherein the standard text and the review text are analyzed by:
• selecting a first set of portions from the review text and a second set of portions from the standard text,
• selecting at least one word of the input point of interest as a query word, and
• estimating a likelihood of the query word in document language models associated with respective portions of the first set of portions from the review text and respective portions of the second set of portions from the standard text;
• and
• display, based on the likelihood of the query word and via a user interface, a portion of text identified in the review text as relevant to the point of interest while also displaying any deviations therein from a portion of text identified in the standard text as being relevant to the point of interest.