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Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.

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Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems., , , , , , and . ACL (Findings), page 2486-2496. Association for Computational Linguistics, (2022)Improving BERT with Syntax-aware Local Attention., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 645-653. Association for Computational Linguistics, (2021)Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters., , , , , , , , , and . CoRR, (2023)Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters., , , , , , , , , and 1 other author(s). ACL (1), page 8656-8668. Association for Computational Linguistics, (2024)Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks., , , , , , and . CoRR, (2022)Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking., , , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 716-728. Association for Computational Linguistics, (2021)Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction., , , , , , , , , and 2 other author(s). EMNLP (Findings), page 576-589. Association for Computational Linguistics, (2022)Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking., , , , , , , , , and . EMNLP (Findings), page 238-249. Association for Computational Linguistics, (2022)Type-Driven Multi-Turn Corrections for Grammatical Error Correction., , , , , , and . ACL (Findings), page 3225-3236. Association for Computational Linguistics, (2022)Harvesting and Refining Question-Answer Pairs for Unsupervised QA., , , , and . ACL, page 6719-6728. Association for Computational Linguistics, (2020)