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StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.

, , , , , , , and . ICLR, OpenReview.net, (2020)

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StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding., , , , , , , and . ICLR, OpenReview.net, (2020)Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations., , , and . EMNLP/IJCNLP (1), page 1028-1039. Association for Computational Linguistics, (2019)A Hybrid System for Chinese Grammatical Error Diagnosis and Correction., , , , , and . NLP-TEA@ACL, page 60-69. Association for Computational Linguistics, (2018)MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction., , , , , , , and . NAACL-HLT, page 3118-3130. Association for Computational Linguistics, (2022)Fine-grained entity typing for knowledge base completion., , , and . IC-NIDC, page 361-365. IEEE, (2016)Chinese Grammatical Error Correction Using Statistical and Neural Models., , , , , and . NLPCC (2), volume 11109 of Lecture Notes in Computer Science, page 117-128. Springer, (2018)Entity Relation Extraction as Dependency Parsing in Visually Rich Documents., , , , , and . EMNLP (1), page 2759-2768. Association for Computational Linguistics, (2021)Neural Regularized Domain Adaptation for Chinese Word Segmentation., , , and . SIGHAN@IJCNLP, page 11-20. Association for Computational Linguistics, (2017)SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser., , , , , and . EMNLP, page 2518-2531. Association for Computational Linguistics, (2022)Neural domain adaptation for Chinese word segmentation., , , and . IALP, page 131-134. IEEE, (2017)