INFORMATION EXTRACTION FROM BROADCAST NEWS SPEECH DATA

@inproceedings{Palmer1999INFORMATIONEF,
  title={INFORMATION EXTRACTION FROM BROADCAST NEWS SPEECH DATA},
  author={David D. Palmer and John D. Burger and Mari Ostendorf},
  year={1999}
}
In this paper we describe a robust algorithm for information extraction from spoken language data. Our probabilistic algorithm builds on results in language modeling, using classbased smoothing to produce state-of-the-art performance for a wide range of speech error rates. We show that our system performs well with sparse data, as well as with out-of-domain data. 

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