A Report on the First Native Language Identification Shared Task

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Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020, background): “What about languages in native language prediction tasks (Tetreault et al., 2013)?”
Do Characters Abuse More Than Words? (2016, background): “…n-grams have been proven useful for other NLP tasks such as authorship identification (Sapkota et al., 2015), native language identification (Tetreault et al., 2013) and machine translation (Nakov and Tiedemann, 2012), but surprisingly have not been the focus in prior work for abusive…”
Artificial error generation for translation-based grammatical error correction (2016, background): “Its potential use in forensic linguistics and tailored error feedback led to the organisation of a shared task in 2013, with 29 competing systems achieving a maximum overall accuracy of over 83% (Tetreault et al., 2013).”
Topics to Avoid: Demoting Latent Confounds in Text Classification (2019, methodology): “Since the release of nonnative TOEFL essays by the Educational Testing Service (Blan-chard et al., 2013), the task gained popularity and this dataset has been used for two L1ID Shared Tasks (Tetreault et al., 2013; Malmasi et al., 2017).”