1. A computer-implemented method of incremental relation extraction, comprising: performed by one or more processors executing computer-readable instructions: receiving a relationship seed comprising relationship data and an initial model describing an entity relationship from an input device coupled to the one or more processors; learning a new model describing an additional entity relationship; extracting a relation tuple comprising additional relationship data from a data corpus by applying the newly learned model; generating one or more patterns based on the extracted relation tuple; and selecting at least one of the one or more patterns for learning an additional new model.
1. A computer-implemented method of incremental relation extraction, comprising: performed by one or more processors executing computer-readable instructions: receiving a relationship seed comprising relationship data and an initial model describing an entity relationship from an input device coupled to the one or more processors; learning a new model describing an additional entity relationship; extracting a relation tuple comprising additional relationship data from a data corpus by applying the newly learned model; generating one or more patterns based on the extracted relation tuple; and selecting at least one of the one or more patterns for learning an additional new model. 13. The computer-implemented method of claim 1 , further comprising: clustering the extracted relation tuples to connect same-type relation tuples; and outputting the clustered, connected relation tuples to an output device coupled to the one or more processors.