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L2 Korean annotation uses parser agreement for human-in-the-loop workflow

Researchers have developed a new human-in-the-loop annotation workflow for L2 Korean using agreement between two parsers. This method leverages parser agreement as a proxy for annotation correctness, showing strong correspondence with human judgments. The study found that parser disagreements often occur in predictable linguistic areas, such as grammatical relations and clause boundaries, indicating both tractability for model refinement and deeper representational challenges. AI

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IMPACT Introduces a novel approach to semi-automatic annotation that could improve the efficiency of linguistic data processing.

RANK_REASON This is a research paper published on arXiv detailing a new method for L2 Korean annotation.

Read on arXiv cs.CL →

COVERAGE [2]

  1. arXiv cs.CL TIER_1 · Hakyung Sung, Gyu-Ho Shin ·

    Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation

    arXiv:2605.06625v1 Announce Type: new Abstract: We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a prox…

  2. arXiv cs.CL TIER_1 · Gyu-Ho Shin ·

    Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation

    We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a proxy for annotation correctness by comparing it wit…