Patent ID: 11875265
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method for classifying term candidates, the method comprising: predefining a feature to an input layer of an artificial neural network; assigning an identifier to the feature from the input layer in a prediction in an output layer of the artificial neural network, the feature characterizing term candidates from a corpus, the corpus including a text f rom a domain, the identifier characterizing at least three classes for the term candidates that differ from one another, the different classes indicating different degrees of association of the term candidates to the domain; wherein a compound and its components for a first feature is predefined to a first input layer of the artificial network, a productivity and a frequency of the components for a second feature is predefined to a second input layer, the output layer is situated downstream from the first and second input layers, and the identifier in the prediction is output as a function of the first feature and of the second feature.