Ez-xbrl Solutions, Inc.

Srinivas Murty

Bediako Ntodi George

Syamantak Thakur

George Bediako

The association of semantic labels with content may be facilitated. In particular, the content in the sentences, labels, headers, text, and/or other context that surround a fact may provide information descriptive for a semantic label that has been applied to the sentence and/or fact. By analyzing some of these implicit semantic associations between semantic labels and facts (numeric or otherwise), suggestions for semantic labels may be made for previously labeled or unlabeled facts. The labels that are suggested may include suggestions for concepts, members, and other structured constructs.

System and method for facilitating associating semantic labels with content

This disclosure relates to facilitating the association of structured content in a structured document with unstructured content in an unstructured document. The system described herein may be configured to facilitate the association by linking numeric instances in the structured document to corresponding numeric instances in the unstructured document. In some implementations, the system may be configured to link the numeric instances in the structured document to the corresponding numeric instances the unstructured document based on a uniqueness of the numeric instances in the structured document, structural information assigned to non-unique numeric instances, structural information assigned to unique numeric instances related to the non-unique numeric instances, unstructured contextual information related to non-unique numeric instances, and/or other information. In some implementations, the system may include one or more of one or more processors, a user interface, a display, electronic storage, and/or other components.

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Culpeper, VA, United States of America

Srinivas Murty