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A Maximum Entropy Approach for Spoken Chinese Understanding., , and . CICLing, volume 2588 of Lecture Notes in Computer Science, page 91-100. Springer, (2003)Concept Features Extraction and Text Clustering Analysis of Neural Networks Based on Cognitive Mechanism., , , , , and . ICIC (1), volume 4113 of Lecture Notes in Computer Science, page 235-246. Springer, (2006)CATSLU: The 1st Chinese Audio-Textual Spoken Language Understanding Challenge., , , , and . ICMI, page 521-525. ACM, (2019)Conducting Natural Language Inference with Word-Pair-Dependency and Local Context., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 47:1-47:23 (2020)Instance-Aware Prompt Learning for Language Understanding and Generation., , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (7): 199:1-199:18 (2023)Comparison Study on Critical Components in Composition Model for Phrase Representation., and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 16 (3): 16:1-16:25 (2017)Structurally Comparative Hinge Loss for Dependency-Based Neural Text Representation., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (4): 58:1-58:19 (2020)A unified framework and models for integrating translation memory into phrase-based statistical machine translation., , , and . Comput. Speech Lang., (2019)The CASIA phrase-based statistical machine translation system for IWSLT 2007., , and . IWSLT, page 37-42. ISCA, (2007)Towards Sentence-Level Brain Decoding with Distributed Representations., , , and . AAAI, page 7047-7054. AAAI Press, (2019)