Google llc (20240185834). UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES simplified abstract
Contents
- 1 UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES - 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 What are the limitations of the technology described in the patent application?
- 1.11 How does this technology compare to existing chatbot development methods?
- 1.12 Original Abstract Submitted
UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES
Organization Name
Inventor(s)
Asaf Aharoni of Ramat Hasharon (IL)
Sasha Goldshtein of Tel Aviv (IL)
Yaniv Leviathan of New York NY (US)
UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185834 titled 'UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES
Simplified Explanation
The patent application is directed towards generating a chatbot based on unstructured free-form natural language input and causing the chatbot to perform tasks associated with an entity on behalf of the user. The unstructured free-form natural language input conveys details of the tasks to be performed without defining any dialog states. The input is used to fine-tune a machine learning model capable of conducting generalized conversations, enabling quick and efficient deployment of the chatbot.
- Receiving unstructured free-form natural language input
- Generating a chatbot based on the input
- Performing tasks associated with an entity on behalf of the user
- Fine-tuning a machine learning model with the input
- Quick and efficient deployment of the chatbot
Potential Applications
The technology can be applied in customer service, virtual assistants, and automated helpdesk support.
Problems Solved
The technology streamlines the process of deploying chatbots for specific tasks based on unstructured natural language input.
Benefits
Efficient deployment of chatbots, improved user experience, and automation of tasks based on user input.
Potential Commercial Applications
The technology can be used in e-commerce, healthcare, and financial services for automated customer support and task automation.
Possible Prior Art
One possible prior art is the use of machine learning models for chatbot development based on structured input data.
What are the limitations of the technology described in the patent application?
The limitations of the technology may include the need for continuous training and updating of the machine learning model to adapt to new user inputs and tasks.
How does this technology compare to existing chatbot development methods?
This technology stands out by enabling the quick deployment of chatbots based on unstructured natural language input, without the need for predefined dialog states.
Original Abstract Submitted
implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform task(s) associated with an entity and on behalf of the user. in various implementations, the unstructured free-form natural language input conveys details of the task(s) to be performed, but does not define any corresponding dialog state map (e.g., does not define any dialog states or any dialog state transitions). nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or prime a machine learning model that is already capable of being utilized in conducting generalized conversations. as a result, the chatbot can be generated and deployed in a quick and efficient manner for performance of the task(s) on behalf of the user.
