A Learning Approach to Natural Language Understanding
<|reference_start|>A Learning Approach to Natural Language Understanding: In this paper we propose a learning paradigm for the problem of understanding spoken language. The basis of the work is in a formalization of the understanding problem as a communication problem. This results in the definition of a stochastic model of the production of speech or text starting from the meaning of a sentence. The resulting understanding algorithm consists in a Viterbi maximization procedure, analogous to that commonly used for recognizing speech. The algorithm was implemented for building<|reference_end|>
@article{pieraccini1994a,
    title={A Learning Approach to Natural Language Understanding},
    author={Roberto Pieraccini (AT&T Bell Laboratories), Esther Levin (AT&T Bell
  Laboratories)},
    journal={"New Advances and Trends in Speech Recognition and Coding", NATO
  ASI Series, Springer-Verlag, proceedings of the 1993 NATO ASI Summer School,
  Bubion, Spain, June-July 1993},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9406003},
    primaryClass={cmp-lg cs.CL}
}