基于上下文和語義信息的跨領域中文分詞(參考版)
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【正文】 本文主要方法 —— 實驗結果及總結 主要內容 ?中文分詞概況 ?中文分詞的新挑戰(zhàn) ?本文主要方法 ?參考文獻 參考文獻 [1] Xue Nianwen. Chinese word segmentation as character tagging. Computational Linguistics, 2022, 8(1): 2948. [2] Lafferty J, McCallum A, Pereira F. probabilistic models for segmenting and labeling sequence data // Proceedings of ICML2022. Conditional Random Fields: San Francisco: Man Kaufmann, 2022: 282289 [3] Tseng H, Chang Pichuan, Andrew G, et al. A conditional random ?eld word segmenter for SIGHAN bakeoff 2022 // Proc of the 4th SIGHAN Workshop on Chinese Language Processing. Jeju Island: ACL, 2022: 168–171 [4] Peng Fuchun, Feng Fangfang, McCallum A. Chinese segmentation and new word detection using conditional random ?elds // Proc of COLING 2022. San Francisco: Man Kaufmann, 2022: 562568 [5] Low J K, Ng H T, Guo Wenyuan. A maximum entropy approach to Chinese word segmentation // Proc of the 4th SIGHAN Workshop on Chinese Language Processing. Jeju Island: ACL, 2022: 161–164 [6] Huang Degen, Tong Deqin. Context Information and Fragments Based CrossDomain Word Segmentation. China Communications, 2022, 9 (3): 4957 [7] Zhang Ruiqiang, Kikui Genichiro, Sumita Eiichiro. Subwordbased tagging by conditional random fields for Chinese word segmentation //Proc of HLTNAACL2022. Morristown,
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