International Business Machines Corporation

Hai Cheng Wang

Ang Yi

Lei Zhang

Jun Hong Zhao

Rajesh M Desai

Dong Li

Ye Qing Chen

Xue Lan Zhang

Yang Zhong Li

Jing Chen

Nazrul Islam

Dong Rui Li

Xue Xu

Xue Mei Deng

Xiao Jian Lian

A computer-implemented method for text block segmentation includes determining a first text block segmentation pattern utilized to generate a segmented text block based, at least in part, on a comparison of semantic information associated with the segmented text block and a plurality of predefined types of text block segmentation patterns indicated by a graph; calculating a first degree of confidence in a size of the segmented text block based, at least in part, on comparing semantic entities associated with the segmented text block with semantic entities indicated by leaf nodes stemming from a first non-leaf node included in the graph and representative of the first type of text block segmentation pattern; and determining that the size of the segmented text block is non-optimal based on the calculated degree of confidence in the size of the segmented text block being below a predetermined threshold.

Text block segmentation

Disclosed embodiments provide techniques for monitoring and evaluating the effectiveness of key value pairs (KVPs) used in a document processing system. In embodiments, KVPs are obtained from multiple extractors of a document processing system. A score is computed for the KVPs by computing an effectiveness metric for each KVP from the multiple KVPs. In response to the computed score being below a predetermined threshold, a model retraining process is performed to generate a new set of KVP extractors, and provide the new set of KVPs to the document processing system.

Dynamic optimization of key value pair extractors for document data extraction

In an approach, a processor identifies a plurality of text separators in a borderless table, a text separator of the plurality of text separators defining a non-text region between two consecutive text lines in the borderless table. A processor classifies the plurality of text separators into a number of target clusters comprised in a target group based on property information related to the plurality of text separators, the number of target clusters corresponding to a number of separator types. A processor provides indication information to indicate respective separator types of the plurality of text separators based on a result of the classifying.

Line item detection in borderless tabular structured data

Embodiments of the present disclosure relate to a method, system, and computer program product for webpage customization. In some embodiments, a method is disclosed. According to the method, a webpage to be provided to a user is obtained. The webpage comprises at least a first element having a first set of style attributes. A second element matching the first element is determined from a set of elements customized for the user. The second element has a second set of style attributes. The webpage is customized for the user by applying at least part of the second set of style attributes to the first element. The customized webpage is provided to the user. In other embodiments, a system and a computer program product are disclosed.

Webpage customization

A computer transforms content of a composite table into structured data objects. The computer receives a composite table and identifying a data zone characterized by data columns, and a header zone. The computer identifies first header cells arranged coextensive with a single data column and second header cells arranged coextensive with a set of data columns. The computer generates a hierarchical representation of said header cells, based at least in part, on the header cell arrangements. The computer generates a revised table based on the hierarchical representation, with the first header cells identifying a data column and the second header cells identify a first header cell. The computer generates structured data objects representing the zones and being arranged based, at least in part, on the revised table and where the structured data objects are keyed to the first header cells.

Transformation of composite tables into structured database content

Growing community of inventors

Beijing, China

Hai Cheng Wang