Systems and methods for construction, maintenance, and improvement of knowledge representations
In one aspect, the present disclosure relates to a method which, in one example embodiment, can include reading text data corresponding to messages and creating semantic annotations to the text data to generate annotated messages. Creating the semantic annotations can include generating, at least in part by at least one trained statistical language model, predictive labels as annotations corresponding to language patterns associated with the text data. The method further includes aggregating the annotated messages and storing information associated with the aggregated annotated messages in a message store, and performing, based on information from the message store and associated with the messages, global analytics functions. The global analytics functions can include identifying an annotation error in the created semantic annotations, updating the respective semantic annotation to correct the annotation error, to form an updated semantic annotation, and back-propagating the updated semantic annotation into training data for further language model training.
1. A computer-implemented method, comprising:
receiving text data that comprises at least unstructured data and wherein the text data is associated with a plurality of messages communicated between a plurality of entities;
determining relationships between the entities, based on the text data associated with the plurality of messages;
generating, from a knowledge base assembled from at least the text data, a response to a user interaction representing a query for information that corresponds to at least one of the entities and indicates information on one or more of the determined relationships between the entities; and
receiving, through a user interface, at least the user interaction, wherein the user interface is configured to, in response to the user interaction, provide at least one of browsing and searching functions for the information in the knowledge base that corresponds to the at least one of the entities and that includes the information on one or more of the determined relationships between the entities;
wherein the determining of the relationships between the entities, based on the text data associated with the plurality of messages, comprises:
detecting a deviation in communication between the entities that indicates unauthorized disclosure of information between a first entity and a second entity, and wherein the deviation in communication comprises at least one of:
the first entity communicating one or more messages with the second entity wherein the first entity and second entity had not previously communicated messages;
the first entity communicating one or more messages with the second entity that include discussion of a subject that was not previously discussed in messages between the first entity and the second entity; and
the first entity and the second entity ending communication after an established history of the first entity communicating messages with the second entity.