Systems and Methods for Constructed Response Scoring using Metaphor Detection
- Author(s):
- Beigman Klebanov, Beata; Leong, Chee Wee; Flor, Michael; Heilman, Michael
- Patent Issued:
- Dec 26, 2017
- Patent Number:
- 9,852,379
- Source:
- ETS Patent
- Document Type:
- Patent
- Family ID:
- 54017692
- Subject/Key Words:
- Patent, Active Patent, Constructed-Response Scoring, Machine Learning, Metaphors, Figurative Language
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.