Machine comprehension of unstructured text
US12236363B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2022 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Aug 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for providing a natural language comprehension system that employs a two-stage process for machine comprehension of text. The first stage indicates words in one or more text passages that potentially answer a question. The first stage outputs a set of candidate answers for the question, along with a first probability of correctness for each candidate answer. The second stage forms one or more hypotheses by inserting each candidate answer into the question and determines whether a sematic relationship exists between each hypothesis and each sentence in the text. The second processing circuitry generates a second probability of correctness for each candidate answer and combines the first probability with the second probability to produce a score that is used to rank the candidate answers. The candidate answer with the highest score is selected as a predicted answer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.