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cs.CL2020
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
Lily Ng, Anne Lauscher, Joel Tetreault +1
Computational models of argument quality (AQ) have focused primarily on assessing the overall quality or just one specific characteristic of an argument, such as its convincingness…
cs.CL2020
Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1
Maria Nadejde, Joel Tetreault
Grammar error correction (GEC) systems have become ubiquitous in a variety of software applications, and have started to approach human-level performance for some datasets. However…
cs.CL2020
Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing
Anne Lauscher, Lily Ng, Courtney Napoles +1
Though preceding work in computational argument quality (AQ) mostly focuses on assessing overall AQ, researchers agree that writers would benefit from feedback targeting individual…