Abstract: An enhanced system and method are provided for data-driven named entity type disambiguation of one or more disclosed embodiments. A system and a non-limiting computer-implemented method provides named-entity type disambiguation; receiving an unstructured document, analyzing the document using a set of Named Entity Recognition (NER) annotators, each generating annotated entities. For each respective annotated entity an Entity Disambiguation Module resolves a target entity type when a mention was assigned multiple entity types by different NER annotators by leveraging domain knowledge to form a set of first resolved entities. An Annotation Ranker associates a computed score to each entity in the set of first resolved entities using information in a knowledge base.

Abstract: A method, computer system, and a computer program product for data processing, comprising obtaining a plurality of files from a data source. These files are analyzed the files for information about the content and in order to determine structural information of each file. Once the files have been analyzed, information in each file may be sorted and categorized by common content. Sensitive information may also be extracted and categorized separately. Information may then be then merged using the categories to create a single unified file.