System and method for generating contextualized text using a character-based convolutional neural network architecture
US12086542B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 6, 2022 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Mar 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for generating a contextualized text using a character-based convolutional neural network architecture (CNN) is disclosed. The system includes a memory, a character-based CNN engine having executable modules and a processor configured to execute the character-based CNN engine and the executable modules for generating contextualized text using a character-based convolutional neural network architecture (CNN). The executable modules includes a data processing module for pre-processing an input conversational text data, a corpus builder unit for developing a corpus of most frequent n-grams, a dataset generation module for performing logarithmic mapping of a frequency of a respective n-gram in the corpus for a dataset prepared for training, a training module for training an artificial intelligence (AI) based model with datasets for a predetermined range of epochs and a prediction module for executing the trained AI-based model for predicting characters contextually till an end-of-sentence (EOS) token is found.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.