Open-domain textual question answering techniques

@article{Harabagiu2003OpendomainTQ,
  title={Open-domain textual question answering techniques},
  author={Sanda M. Harabagiu and Steven J. Maiorano and Marius Pasca},
  journal={Natural Language Engineering},
  year={2003},
  volume={9},
  pages={231-267}
}
Textual question answering is a technique of extracting a sentence or text snippet from a document or document collection that responds directly to a query. Open-domain textual question answering presupposes that questions are natural and unrestricted with respect to topic. The question answering (Q/A) techniques, as embodied in today’s systems, can be roughly divided into two types: (1) techniques for information seeking (IS) which localize the answer in vast document collections; and (2… CONTINUE READING
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References

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Showing 1-10 of 38 references

The Proces of Question Answering, Hillsdale, N.J.: Lawrence Erlbaum Associates

  • W. G. Lehnert
  • 1978
Highly Influential
5 Excerpts

A New Statistical Parser Based on Bigram Lexical Dependencies

  • M. Collins
  • Proceedings of the 34th Annual Meeting of the…
  • 1996
Highly Influential
4 Excerpts

Conceptual dependency: A theory of natural language understanding, Cognitive Psychology 3(4), pp

  • R. C. Schank
  • 552-631.
  • 1972
Highly Influential
3 Excerpts

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