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Abstract

A list recognizing method and system, which comprises: parsing and analyzing metadata information within an original fixed-layout document, and extracting basic elements within a page; segmenting the basic elements, extracting segmented text lines within the page to obtain fragments; building an undirected graph with respect to the fragments; detecting indent features of a bullet according to features of the basic elements; training a learning model according to the indent features, local features of the fragments and neighborhood relation features among the fragments, obtaining model parameters, and establishing a list recognizing model; and invoking the list recognizing model to perform list recognizing on the required document, so as to get recognition result. This machine learning method may recognize not only a list, but also the contextual relationship between the first line and its subsequent lines of a list, and realize analyzing and understanding a layout of the list of the fixed-layout document ultimately. The accuracy of list recognizing on a fixed-layout document can be improved even if the bullets of the first line of the list are various.

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First Claim