Hyundai motor company (20240096311). METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM simplified abstract
Contents
- 1 METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM
Organization Name
Inventor(s)
METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096311 titled 'METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM
Simplified Explanation
The disclosure is about a method for training a machine reading comprehension model, a computer-readable recording medium storing the method, and a question answering system using a trained machine reading comprehension model.
- Method for training a machine reading comprehension model
- Computer-readable recording medium storing the training method
- Question answering system utilizing the trained machine reading comprehension model
Potential Applications
This technology can be applied in various fields such as education, customer service, and information retrieval systems.
Problems Solved
This technology helps in improving the accuracy and efficiency of question answering systems by training machine reading comprehension models.
Benefits
- Enhanced performance of question answering systems - Increased accuracy in understanding and answering questions - Improved user experience in interacting with AI systems
Potential Commercial Applications
Optimizing customer service chatbots, developing educational tools, enhancing search engines for better information retrieval.
Possible Prior Art
Prior art may include existing machine reading comprehension models and question answering systems that are not as advanced or efficient as the one described in this patent application.
Unanswered Questions
How does this technology handle complex questions with multiple layers of context?
The technology is designed to handle complex questions by training the machine reading comprehension model on a diverse range of text data to improve its understanding of context.
What are the limitations of this technology in terms of scalability and real-time performance?
The scalability of the technology may be limited by the computational resources required for training the machine reading comprehension model, and real-time performance could be affected by the complexity of the questions and the size of the dataset used for training.
Original Abstract Submitted
the disclosure relates to a method for training a machine reading comprehension model, a computer-readable recording medium storing the method, and a question answering system using a trained machine reading comprehension model.
