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Systems and Methods for Scoring Story Narrations

Somasundaran, Swapna; Lee, Chong Min; Chodorow, Martin; Wang, Xinhao
Patent Issued:
Aug 13, 2019
Patent Number:
ETS Patent
Document Type:
Family ID:
Subject/Key Words:
Patent, Active Patent, Automated Scoring and Natural Language Processing, Narration (Rhetoric), Story Telling, Automated Scoring Models, Machine Learning


Computer-based systems and methods are provided for generating a narrative computer scoring model for assessing story narratives. In one embodiment, supervised machine learning is used to generate the narrative computer scoring model. For example, a collection of training story narratives with assigned scores may be used to train the model. In one embodiment, each training story narrative is processed to extract features that signify content relevance, collocation of commonly used words, coherency, detailing, and expressions of sentiment. These features, as well as others, may be selectively used to train a narrative computer scoring model. Once trained, the model can be used to automatically evaluate story narratives and assign appropriate scores.

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