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Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition ...
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Abstract:
Existing Chinese text error detection mainly focuses on spelling and simple grammatical errors. These errors have been studied extensively and are relatively simple for humans. On the contrary, Chinese semantic errors are understudied and more complex that humans cannot easily recognize. The task of this paper is Chinese Semantic Error Recognition (CSER), a binary classification task to determine whether a sentence contains semantic errors. The current research has no effective method to solve this task. In this paper, we inherit the model structure of BERT and design several syntax-related pre-training tasks so that the model can learn syntactic knowledge. Our pre-training tasks consider both the directionality of the dependency structure and the diversity of the dependency relationship. Due to the lack of a published dataset for CSER, we build a high-quality dataset for CSER for the first time named Corpus of Chinese Linguistic Semantic Acceptability (CoCLSA). The experimental results on the CoCLSA show ... : 12 pages, 4 figures ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.07464
https://arxiv.org/abs/2204.07464
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The Effects of Task Repetition on Child EFL Learners’ Oral Performance
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The Effects of Task Repetition on Child EFL Learners’ Oral Performance
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In: Canadian Journal of Applied Linguistics; Vol. 24 No. 2 (2021): Special Issue: Insight, Instruction, and Outcomes: Reflections from the TBLT 2019 conference; 30-47 ; Revue canadienne de linguistique appliquée; Vol. 24 No. 2 (2021): Numéro spécial : Perspectives, enseignement et résultats : réflexions de la conférence de 2019 sur l'ELBT; 30-47 ; 1920-1818 ; 1481-868X (2021)
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Genetic Diversity and Domestication Footprints of Chinese Cherry [Cerasus pseudocerasus (Lindl.) G.Don] as Revealed by Nuclear Microsatellites
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