International business machines corporation (20240095458). DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS simplified abstract
Contents
- 1 DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS - 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
DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS
Organization Name
international business machines corporation
Inventor(s)
Kunal Sawarkar of Franklin Park NJ (US)
Shivam Raj Solanki of Austin TX (US)
DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095458 titled 'DETECTION OF VERACITY OF RESPONSES IN MACHINE COMPREHENSION QUESTION AND ANSWER MODELS
Simplified Explanation
The patent application relates to a system for determining the veracity of answers generated by machine comprehension question and answer models.
- Machine comprehension component generates answers by extracting information from text corpus.
- Text corpus alteration component modifies the text corpus to produce altered versions.
- Additional answers are extracted from the altered text corpora.
- Comparison component calculates a veracity score for the original answer by comparing it with the additional answers.
Potential Applications
This technology can be applied in:
- Automated fact-checking systems
- Enhancing the accuracy of search engine results
Problems Solved
This technology addresses:
- Ensuring the reliability of machine-generated answers
- Improving the quality of information retrieval systems
Benefits
The benefits of this technology include:
- Increased trust in machine-generated answers
- Enhanced performance of question answering systems
Potential Commercial Applications
A potential commercial application for this technology could be:
- Integration into search engines to provide more accurate and reliable answers to user queries
Possible Prior Art
One possible prior art for this technology could be:
- Existing machine learning models for question answering that do not incorporate a veracity scoring mechanism
Unanswered Questions
How does the system handle ambiguous queries?
The system's ability to handle ambiguous queries is not explicitly mentioned in the abstract. It would be important to understand how the technology deals with questions that have multiple valid answers.
What is the computational overhead of the veracity scoring process?
The abstract does not provide information on the computational resources required for the veracity scoring process. Understanding the computational overhead of this technology is crucial for assessing its practicality and scalability.
Original Abstract Submitted
one or more systems, devices, computer program products and/or computer-implemented methods provided herein relate to determining veracity of answers generated by machine comprehension question and answer models. according to an embodiment, a machine comprehension component can generate a first answer to a query by extracting the first answer from a passage of text corpus. the text corpus alteration component can alter the text corpus one or more times to produce one or more altered text corpora. the machine comprehension component can further extract one or more additional answers to the query from the altered text corpora. a comparison component can determine a veracity score for the first answer based on one or more comparisons of the first answer with the one or more additional answers.
