The Use of Predictive Annotation for Question Answering in TREC8

@inproceedings{Prager1999TheUO,
  title={The Use of Predictive Annotation for Question Answering in TREC8},
  author={John M. Prager and Dragomir R. Radev and Eric W. Brown and Anni Coden and Valerie Samn},
  booktitle={TREC},
  year={1999}
}
This paper introduces the technique of Predictive Annotation, a methodology for indexing texts for retrieval aimed at answering fact-seeking questions. The essence of the approach can be stated simply: index the answers. This is done by establishing about 20 classes of objects that can be identified in text by shallow parsing, and by annotating and indexing the text with these labels, which we call QATokens. Given a question, its class is identified and the question is modified accordingly to… CONTINUE READING
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References

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Showing 1-6 of 6 references

Disambiguation of Proper Names in Text

View 5 Excerpts
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“Language Reuse and Regeneration: Generating Natural Language Summaries from Multiple On-Line Sources”

Dragomir R. Radev
PhD thesis, • 1998

Identifying and Extracting Relations in Text ”

Roy Byrd, Yael Ravin
-1

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