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A Maximum Entropy Model for Part-Of-Speech Tagging.

. EMNLP, (1996)

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University of Pennsylvania: description of the University of Pennsylvania system used for MUC-6., , , , , и . MUC, стр. 177-191. ACL, (1995)A large-scale active learning system for topical categorization on the web., , , и . WWW, стр. 791-800. ACM, (2010)Maximum Entropy Models for Natural Language Ambiguity Resolution. University of Pennsylvania, Philadelphia, PA, (1998)A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns., , , , , и . WWW (Companion Volume), стр. 85-86. ACM, (2011)Large-Scale Customized Models for Advertisers., , , и . ICDM Workshops, стр. 1029-1036. IEEE Computer Society, (2010)Integer Programming for Multi-class Active Learning., , и . ICDM Workshops, стр. 1257-1264. IEEE Computer Society, (2010)A Maximum Entropy Model for Part-Of-Speech Tagging.. EMNLP, (1996)Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings., и . ICON, стр. 335-340. NLP Association of India (NLPAI), (2021)Trainable Methods for Surface Natural Language Generation.. ANLP, стр. 194-201. ACL, (2000)Learning to target: what works for behavioral targeting., , , , , , и . CIKM, стр. 1805-1814. ACM, (2011)