18467636. INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS simplified abstract (Alipay (Hangzhou) Information Technology Co., Ltd.)
Contents
- 1 INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS - 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 Original Abstract Submitted
INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS
Organization Name
Alipay (Hangzhou) Information Technology Co., Ltd.
Inventor(s)
Weiqiang Wang of Hangzhou (CN)
INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18467636 titled 'INTENTION IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND INTENTION IDENTIFICATION METHOD AND APPARATUS
Simplified Explanation
The abstract of the patent application describes a method and apparatus for training an intention identification model, which can improve the accuracy of intention identification for target questions and corresponding answers.
- Training method weakens target question in initial rounds
- Model obtained in initial rounds used to identify intentions for answers
- Model is retrained after resetting intention labels for improved identification effect on target question answers
Potential Applications
The technology can be applied in various fields such as customer service, chatbots, virtual assistants, and information retrieval systems where accurate intention identification is crucial.
Problems Solved
1. Improved accuracy in identifying intentions for target questions and answers 2. Efficient training method for intention identification models
Benefits
1. Enhanced performance of intention identification models 2. Better understanding of user intentions in interactions with AI systems
Potential Commercial Applications
Optimizing customer service interactions, enhancing chatbot capabilities, improving search engine results, and enhancing virtual assistant functionalities.
Possible Prior Art
Prior art may include existing intention identification models and training methods used in natural language processing and machine learning applications.
Unanswered Questions
How does this technology compare to existing intention identification models in terms of accuracy and efficiency?
The article does not provide a direct comparison with existing models to evaluate the performance improvements of the proposed method.
What are the potential limitations or challenges in implementing this training method for intention identification models?
The article does not address any potential drawbacks or obstacles that may arise when applying this training method in practical settings.
Original Abstract Submitted
Implementations of the present specification describe an intention identification model training method and apparatus, and an intention identification method and apparatus. According to the methods in the implementations, training of a target question can be weakened in the first several rounds of model training, and then an intention identification model obtained in the first several rounds of training can be used to identify intentions corresponding to answers that are to be distinguished. Further, the intention identification model is trained again after labels of these intentions are reset, so that the intention identification model obtained through training can also have a good identification effect on an answer to the target question, thereby improving accuracy of intention identification.
