Abstract
Maximum entropy (Maxent) is useful in many areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With many variants of IS methods, it is difficult to understand them and see the differences. In this paper, we create a general and unified framework for IS methods. This framework also connects IS and coordinate descent (CD) methods. Besides, we develop a CD method for Maxent. Results show that it is faster than existing iterative scaling methods1. © 2009 ACL and AFNLP.
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CITATION STYLE
Huang, F. L., Hsieh, C. J., Chang, K. W., & Lin, C. J. (2009). Iterative scaling and coordinate descent methods for maximum entropy. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 285–288). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667671
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