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

Claim 5:
6. A computer-implemented method for generating training data for a training of an artificial neural network, the training data including features and identifiers, the method comprising the following steps: determining features which characterize term candidates from a corpus, the corpus including a text from a domain; determining a respective identifier which characterizes a degree of association to 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 domains; and assigning at least one of the identifiers to at least one of the features; wherein the term candidates are compounds including at least two components; wherein the compounds are from a corpus subject-specific to the domain and are split as term candidates into the components, the compounds are assigned to at least one of the classes, and the features for the compounds and the components are determined; and wherein a productivity and a frequency of the components are determined as the features based on the corpus.