SAP SE
Entity Extraction and Relationship Definition Using Machine Learning

Abstract:

Data is accessed that encapsulates a corpus of text. Thereafter, at least a portion of the corpus of text is input into an ensemble of machine learning models comprising a convolutional neural network, a long short-term memory network and a graph convolutional network to extract a plurality of features and to define relationships amongst the entities. Data encapsulating the entities and their relationships within the corpus of text are then received from an output layer of the ensemble of machine learning models. Related apparatus, systems, techniques and articles are also described.