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Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging.

, , and . IJCNLP, volume 3248 of Lecture Notes in Computer Science, page 493-499. Springer, (2004)

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Improving English verb sense disambiguation performance with linguistically motivated features and clear sense distinction boundaries., and . Lang. Resour. Evaluation, 43 (2): 181-208 (2009)Integrating natural language processing with image document analysis: what we learned from two real-world applications., , and . Int. J. Document Anal. Recognit., 18 (3): 235-247 (2015)Detecting OOV Names in Arabic Handwritten Data., , , and . ICDAR, page 994-998. IEEE Computer Society, (2013)Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification., , , , , , and . HCI (49), volume 14055 of Lecture Notes in Computer Science, page 264-278. Springer, (2023)Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging., , and . IJCNLP, volume 3248 of Lecture Notes in Computer Science, page 493-499. Springer, (2004)Towards Robust High Performance Word Sense Disambiguation of English Verbs Using Rich Linguistic Features., and . IJCNLP, volume 3651 of Lecture Notes in Computer Science, page 933-944. Springer, (2005)Extracting information from handwritten content in census forms., , , , , and . ICPR, page 306-309. IEEE Computer Society, (2012)Validating Natural Language Processing for Extracting Pain Symptoms from Electronic Health Records., , , , , , and . AMIA, AMIA, (2020)Secure transmission power of cognitive radios for dynamic spectrum access applications., , and . CISS, page 213-218. IEEE, (2008)Analysis of ECG Signals by Dynamic Mode Decomposition., , , , , , , , , and 1 other author(s). IEEE J. Biomed. Health Informatics, 26 (5): 2124-2135 (2022)