How much is enough?: Data requirements for statistical NLP
cmp-lg
2008-02-03 v1 计算与语言
摘要
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.
引用
@article{arxiv.cmp-lg/9509001,
title = {How much is enough?: Data requirements for statistical NLP},
author = {Mark Lauer},
journal= {arXiv preprint arXiv:cmp-lg/9509001},
year = {2008}
}
备注
9 pages