System and method for automatic text anomaly detection
AssigneeContilt Ltd.
InventorsAdi OMARI, Obaida ABU ALHIJA
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Abstract
A system and method for detecting anomalies in an analyzed text may include providing features of basic elements to a descriptive language model to obtain predicted features of an examined basic element, wherein the basic elements come immediately before and/or after the examined basic element in the analyzed text, wherein the descriptive language model is trained to predict features of the examined basic element based on the features of the basic elements; and comparing the predicted features to real features of the examined basic element to detect an anomaly in the examined basic element.
Claims18
A method for detecting anomalies in an analyzed text, the method comprising, using a processor:
- providing features of basic elements to a descriptive language model to obtain predicted features of an examined basic element, wherein the basic elements come immediately before and/or after the examined basic element in the analyzed text, wherein the descriptive language model is trained to predict features of the examined basic element based on the features of the basic elements;
- and
- comparing the predicted features to real features of the examined basic element to detect an anomaly in the examined basic element.
A system for providing localization, the system comprising:
- a memory;
- and
- a processor configured to:
- provide features of basic elements to a descriptive language model to obtain predicted features of an examined basic element, wherein the basic elements come immediately before and/or after the examined basic element in the analyzed text, wherein the descriptive language model is trained to predict features of the examined basic element based on the features of the basic elements;
- and
- compare the predicted features to real features of the examined basic element to detect an anomaly in the examined basic element.
Dependencies are inferred from the claim text.