How much is enough?: Data requirements for statistical NLP
<|reference_start|>How much is enough?: Data requirements for statistical NLP: In this paper I explore a number of issues in the analysis of data requirements for statistical NLP systems. A preliminary framework for viewing such systems is proposed and a sample of existing works are compared within this framework. The first steps toward a theory of data requirements are made by establishing some results relevant to bounding the expected error rate of a class of simplified statistical language learners as a function of the volume of training data.<|reference_end|>
@article{lauer1995how,
    title={How much is enough?: Data requirements for statistical NLP},
    author={Mark Lauer (Microsoft Institute, Sydney)},
    journal={2nd Conference of the Pacific Association for Computational
  Linguistics, Brisbane, Australia},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9509001},
    primaryClass={cmp-lg cs.CL}
}