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AssigneeBabylon Partners Limited
InventorsApril Tuesday Shen, Francesco Moramarco, Nils Hammerla, Pietro Cavallo, Olufemi Awomosu, Aleksandar Savkov, Jack Flann
Estimating the term…
Embodiments described herein provide a more flexible, effective, and computationally efficient means for determining multiple intents within a natural language input. Some methods rely on specifically trained machine learning classifiers to determine multiple intents within a natural language input. These classifiers require a large amount of labelled training data in order to work effectively, and are generally only applicable to determining specific types of intents (e.g., a specifically selected set of potential inputs). In contrast, the embodiments described herein avoid the use of specifically trained classifiers by determining inferred clauses from a semantic graph of the input. This allows the methods described herein to function more efficiently and over a wider variety of potential inputs.
A computer-implemented natural language processing method comprising:
A system including a processor and a memory, the memory including instructions that, when executed by the processor, cause the processor to perform:
A non-transitory computer-readable medium including instructions that, when executed by a processor, cause the processor to perform:
Dependencies are inferred from the claim text.