18204585. METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM simplified abstract (KIA CORPORATION)
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 18204585 titled 'METHOD FOR TRAINING MACHINE READING COMPREHENSION MODEL, COMPUTER-READABLE RECORDING MEDIUM AND QUESTION ANSWERING SYSTEM
Simplified Explanation
The patent application describes a method for training a machine reading comprehension model, a computer-readable recording medium storing the method, and a question answering system using the trained model.
- The method involves training a machine reading comprehension model.
- The computer-readable recording medium stores the training method.
- The question answering system utilizes the trained machine reading comprehension model.
Potential Applications
This technology could be applied in various fields such as education, customer service, and information retrieval systems.
Problems Solved
This technology helps improve the accuracy and efficiency of question answering systems by training machine reading comprehension models.
Benefits
The benefits of this technology include enhanced performance of question answering systems, increased automation in information retrieval, and improved user experience.
Potential Commercial Applications
- Enhancing customer service chatbots
- Improving search engine capabilities for better information retrieval
Possible Prior Art
One possible prior art could be existing machine reading comprehension models used in question answering systems.
Unanswered Questions
How does this technology compare to existing question answering systems?
This article does not provide a direct comparison between this technology and existing question answering systems.
What are the specific steps involved in training the machine reading comprehension model?
The article does not detail the specific steps involved in training the machine reading comprehension model.
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.
