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Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation., , , , , and . Expert Syst. Appl., (April 2023)Principles of Non-stationary Hidden Markov Model and Its Applications to Sequence Labeling Task., , and . IJCNLP, volume 3651 of Lecture Notes in Computer Science, page 827-837. Springer, (2005)A Similarity-Based Approach to Data Sparseness Problem of Chinese Language Modeling., , , and . MICAI, volume 3789 of Lecture Notes in Computer Science, page 761-769. Springer, (2005)KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning., , , and . CoRR, (2020)HyperText: Endowing FastText with Hyperbolic Geometry., , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1166-1171. Association for Computational Linguistics, (2020)An Empirical Study of Non-Stationary Ngram Model and its Smoothing Techniques., , and . IJCLCLP, (2007)Integrating Graph Contextualized Knowledge into Pre-trained Language Models., , , , , , and . CoRR, (2019)Integrating Graph Contextualized Knowledge into Pre-trained Language Models., , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2281-2290. Association for Computational Linguistics, (2020)Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space., , , , and . NLPCC (1), volume 13028 of Lecture Notes in Computer Science, page 27-39. Springer, (2021)CStory: A Chinese Large-scale News Storyline Dataset., , , , , , , , and . CIKM, page 4475-4479. ACM, (2022)