Parser agreement between two adapted models serves as a reliable proxy for human correctness in L2 Korean UD annotation, with disagreements clustering in predictable linguistic areas like grammatical relations and clause boundaries.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) , pages=
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Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation
Parser agreement between two adapted models serves as a reliable proxy for human correctness in L2 Korean UD annotation, with disagreements clustering in predictable linguistic areas like grammatical relations and clause boundaries.