9. A computer-implemented method for executing instructions stored on a computer readable storage medium, the method comprising: receiving an event type and at least one example document designed as being associated with the event type; extracting first entities from the at least one example document; executing a first search against an indexed corpus of documents, using the first entities, to obtain fires search results; receiving at least one selected document for the first search results; extracting second entities from the at least one selected document; executing a second search against the indexed corpus of documents, using the second entities, to obtain second search results; providing the at least one example document, the first search results, and the second search results as a training sets for training a supervised machine learning algorithm to classify document with respect to the event type, further including providing the training set in an iterative fashion, in which the at least one selected documents and the second search results represent the first two iterations thereof, and in which iterations are halted when a corresponding halt criteria is satisfied; receiving a plurality of the document associated with a plurality of suppliers, executing a supplier-independent, event-based classification of each document with respect to the event types; providing supplier-specific data records, based on the event-based classification; and generating a graphical view of a selected supplier with respect to at least one performance indicator, in conjunction with at least one corresponding supplier-specific data record.
9. A computer-implemented method for executing instructions stored on a computer readable storage medium, the method comprising: receiving an event type and at least one example document designed as being associated with the event type; extracting first entities from the at least one example document; executing a first search against an indexed corpus of documents, using the first entities, to obtain fires search results; receiving at least one selected document for the first search results; extracting second entities from the at least one selected document; executing a second search against the indexed corpus of documents, using the second entities, to obtain second search results; providing the at least one example document, the first search results, and the second search results as a training sets for training a supervised machine learning algorithm to classify document with respect to the event type, further including providing the training set in an iterative fashion, in which the at least one selected documents and the second search results represent the first two iterations thereof, and in which iterations are halted when a corresponding halt criteria is satisfied; receiving a plurality of the document associated with a plurality of suppliers, executing a supplier-independent, event-based classification of each document with respect to the event types; providing supplier-specific data records, based on the event-based classification; and generating a graphical view of a selected supplier with respect to at least one performance indicator, in conjunction with at least one corresponding supplier-specific data record. 10. The method of claim 9 , wherein the indexed corpus of documents is indexed using an entity index.