18159616. SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL simplified abstract (Salesforce, Inc.)
Contents
- 1 SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL - 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
SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL
Organization Name
Inventor(s)
Philippe Laban of New York NY (US)
Chien-Sheng Wu of Mountain View CA (US)
SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL - A simplified explanation of the abstract
This abstract first appeared for US patent application 18159616 titled 'SYSTEMS AND METHODS FOR A READING AND COMPREHENSION ASSISTANCE TOOL
Simplified Explanation
The abstract describes a neural network based news reading tool that generates discord questions based on text passages and sends them to user devices for display.
- Neural network based news reading tool
- Generates discord questions from text passages
- Sends discord questions and corresponding text locations to user devices
- Creates reading interface widget for users
Potential Applications
This technology could be applied in:
- News aggregation platforms
- Educational tools for reading comprehension
- Content recommendation systems
Problems Solved
This technology helps in:
- Enhancing user engagement with news content
- Improving reading comprehension by prompting users with questions
- Personalizing user experience with tailored content suggestions
Benefits
The benefits of this technology include:
- Increased user interaction with news articles
- Enhanced learning and retention through question prompts
- Customized content delivery for improved user satisfaction
Potential Commercial Applications
The potential commercial applications of this technology include:
- Integration into news apps and websites
- Licensing to educational platforms for reading assistance
- Partnering with content recommendation services for enhanced user experience
Possible Prior Art
One possible prior art for this technology could be the use of natural language processing algorithms in content recommendation systems to personalize user experiences.
Unanswered Questions
How does the neural network determine the relevance of the discord questions to the text passages?
The abstract does not provide details on how the neural network evaluates the context of the text passages to generate relevant discord questions.
What is the user feedback mechanism for improving the accuracy of the discord questions generated by the neural model?
The abstract does not mention any feedback loop for users to provide input on the quality or relevance of the discord questions generated.
Original Abstract Submitted
Embodiments described herein provide system of a neural network based news reading tool. The system includes a communication interface receiving one or more text passages from data sources. The system also includes a memory storing a discord question neural model that generates a discord question according to the text passages. The system further includes processors executing processor-executable instructions to perform operations that include determining, by the discord question neural model, respective locations within the one or more text passages for inserting the discord question; receiving, via the communication interface from a client component, an indication that a user device is accessing a first text passage from a first data source; and sending, via the communication interface, the discord question, and a first location corresponding to the first text passage to the user device thereby causing the client component to generate and display a reading interface widget.
