Building a Generation Knowledge Source using Internet-Accessible Newswire
<|reference_start|>Building a Generation Knowledge Source using Internet-Accessible Newswire: In this paper, we describe a method for automatic creation of a knowledge source for text generation using information extraction over the Internet. We present a prototype system called PROFILE which uses a client-server architecture to extract noun-phrase descriptions of entities such as people, places, and organizations. The system serves two purposes: as an information extraction tool, it allows users to search for textual descriptions of entities; as a utility to generate functional descriptions (FD), it is used in a functional-unification based generation system. We present an evaluation of the approach and its applications to natural language generation and summarization.<|reference_end|>
@article{radev1997building,
    title={Building a Generation Knowledge Source using Internet-Accessible
  Newswire},
    author={Dragomir R. Radev (Columbia University), Kathleen R. McKeown (Columbia
  University)},
    journal={To appear in Proceedings of the 5th Conference on Applied Natural
  Processing, Washington DC, 31 March - 3 April, 1997.},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9702014},
    primaryClass={cmp-lg cs.CL}
}