Method And System Of Extracting Non Semantic Entities

Abstract: A method (800) and system (100) of extracting data from a set of documents is disclosed. A processor (104) determines a plurality of spatial features for each of the set of documents based on a set of keywords and a set of entities extracted from the documents. A variance is determined between at least one of the plurality of spatial features determined for each of the documents. Layout is determined based on the spatial features and variance. Each set of documents is clustered in at least one cluster based on a similarity between the layouts of the documents using a first machine learning model. Spatial features are selected using a second machine learning model. Data of the set of entities is extracted corresponding to the keywords in the documents based on the selection of the features and the similarity between the layouts using a third machine learning model. [FIG. 1]

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