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Found 13 papers, 3 papers with code
Analyzing Culture-Specific Argument Structures in Learner Essays
Based on the ICLE corpus containing essays written by English learners of 16 different mother tongues, we train natural language processing models to mine argumentative discourse units (ADUs) as well as to assess the essays’ quality in terms of organization and argument strength.
Mind the Gap: Automated Corpus Creation for Enthymeme Detection and Reconstruction in Learner Arguments
Writing strong arguments can be challenging for learners.
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
The results of the user study show that the proposed agent can find out example sentences that help students learn more easily and efficiently.
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences
In this study, students learn to differentiate the confusing words by reading the example sentences, and then choose the appropriate word(s) to complete the sentence translation task.
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