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Computer-implemented Systems and Methods for Generating a Supervised Model for Lexical Cohesion Detection

Author(s):
Beigman Klebanov, Beata; Flor, Michael; Blanchard, Daniel
Patent Issued:
Dec 24, 2019
Patent Number:
10,515,314
Source:
ETS Patent
Document Type:
Patent
Family ID:
56094629
Subject/Key Words:
Patent, Active Patent, Training Texts, Text Analysis, Lexical Cohesion, Computer-Implemented, Automated Scoring and Natural Language Processing, Automated Essay Scoring (AES), Automated Assessment Technology, Graphical-User Interface

Abstract

Systems and methods are provided for a computer-implemented method for identifying pairs of cohesive words within a text. A supervised model is trained to detect cohesive words within a text to be scored. Training the supervised model includes identifying a plurality of pairs of candidate cohesive words in a training essay and an order associated with the pairs of candidate cohesive words based on an order of words in the training essay. The pairs of candidate cohesive words are filtered to form a set of evaluation pairs. The evaluation pairs are provided via a graphical user interface based on the order associated with the pairs of candidate cohesive words. An indication of cohesion or no cohesion is received for the evaluation pairs via the graphical user interface. The supervised model is trained based on the evaluation pairs and the received indications.

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