Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models
<|reference_start|>Cluster Expansions and Iterative Scaling for Maximum Entropy Language Models: The maximum entropy method has recently been successfully introduced to a variety of natural language applications. In each of these applications, however, the power of the maximum entropy method is achieved at the cost of a considerable increase in computational requirements. In this paper we present a technique, closely related to the classical cluster expansion from statistical mechanics, for reducing the computational demands necessary to calculate conditional maximum entropy language models.<|reference_end|>
@article{lafferty1995cluster,
    title={Cluster Expansions and Iterative Scaling for Maximum Entropy Language
  Models},
    author={John D. Lafferty and Bernhard Suhm (Carnegie Mellon)},
    journal={arXiv preprint arXiv:cmp-lg/9509003},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9509003},
    primaryClass={cmp-lg cs.CL}
}