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Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge., , , , , and . NAACL-HLT, page 2139-2145. Association for Computational Linguistics, (2021)MoEC: Mixture of Expert Clusters., , , and . AAAI, page 13807-13815. AAAI Press, (2023)S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension., , , , , and . AAAI, page 5940-5947. AAAI Press, (2018)Graph-Based Multi-Tweet Summarization using Social Signals., , , and . COLING, page 1699-1714. Indian Institute of Technology Bombay, (2012)SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training., , , , , , and . EMNLP, page 1663-1676. Association for Computational Linguistics, (2022)LayoutReader: Pre-training of Text and Layout for Reading Order Detection., , , , and . EMNLP (1), page 4735-4744. Association for Computational Linguistics, (2021)Solving and Generating Chinese Character Riddles., , , , and . EMNLP, page 846-855. The Association for Computational Linguistics, (2016)I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension., , , , , and . NLPCC (1), volume 11108 of Lecture Notes in Computer Science, page 85-97. Springer, (2018)BEiT: BERT Pre-Training of Image Transformers., , , and . ICLR, OpenReview.net, (2022)Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding., , , and . ACL/IJCNLP (1), page 5937-5947. Association for Computational Linguistics, (2021)