Systems and methods for constructed response scoring using metaphor detection
US9852379B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 6, 2015 |
| Grant date | Dec 26, 2017 |
| Priority date | — |
| Expiry date | Jun 17, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods described herein utilize supervised machine learning to generate a figure-of-speech prediction model for classify content words in a running text as either being figurative (e.g., as a metaphor, simile, etc.) or non-figurative (i.e., literal). The prediction model may extract and analyze any number of features in making its prediction, including a topic model feature, unigram feature, part-of-speech feature, concreteness feature, concreteness difference feature, literal context feature, non-literal context feature, and off-topic feature, each of which are described in detail herein. Since uses of figure of speech in writings may signal content sophistication, the figure-of-speech prediction model allows scoring engines to further take into consideration a text's use of figure of speech when generating a score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.