Abstract: An exemplary method includes accessing a source document where the source document is associated with a citation and copying a selected portion of the source document. Then, in response to copying the selected portion, the method includes generating a referenced element where the referenced element consists of the selected portion and a hyperlink associated with the citation. Finally, the method includes accessing a destination document and inserting the referenced element into the destination document. An additional exemplary method further includes storing a copy of the referenced element in a memory of an access device. Another exemplary method includes annotating the destination document and generating an annotated destination document. Another exemplary method includes printing, within a single print session, the annotated destination document and the source document.

Abstract: For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger, an entity resolver, a text segment classifier, and a relationship extractor. The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event is detected, the relationship extractor determines the event role of entities named in the segment. For example, the extractor determines for a merger and acquisition event, which named company was the acquirer and which was acquired.

Abstract: For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger, an entity resolver, a text segment classifier, and a relationship extractor. The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event is detected, the relationship extractor determines the event role of entities named in the segment. For example, the extractor determines for a merger and acquisition event, which named company was the acquirer and which was acquired.