Patent ID: 11893355
Assignee: DIGITAL ASSET CAPITAL, INC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. The medium of claim 1, wherein generating the first data model object comprises:
training a machine learning model to obtain a first set of machine learning model parameters based on an objective function result, wherein the objective function result is determined based on a summation of linkage scores between different embedding vectors, and wherein the linkage scores are determined based on a predicted probability of the machine learning model and a training probability of a training set;
determining a set of probabilities indicating pairwise likelihoods of the first embedding sequence using the machine learning model based on the first set of machine learning model parameters;
determining a first predicate value of the first clause based on the set of probabilities;
validating the first predicate value based on a stored set of predicate values;
selecting a sequence position based on an initiating position or terminal position of the first predicate value of the first clause; and
selecting a first continuous subsection of the first embedding sequence based on the sequence position, wherein the first continuous subsection comprises an embedding vector representing the first n-gram, wherein generating the first data model object comprises determining a value of the first field based on the first continuous subsection.