Deep Read: A Reading Comprehension System

@inproceedings{Hirschman1999DeepRA,
  title={Deep Read: A Reading Comprehension System},
  author={Lynette Hirschman and Marc Light and Eric Breck and John D. Burger},
  booktitle={ACL},
  year={1999}
}
This paper describes initial work on Deep Read, an automated reading comprehension system that accepts arbitrary text input (a story) and answers questions about it. We have acquired a corpus of 60 development and 60 test stories of 3 rd to 6 th grade material; each story is followed by short-answer questions (an answer key was also provided). We used these to construct and evaluate a baseline system that uses pattern matching (bag-of-words) techniques augmented with additional automated… CONTINUE READING
Highly Influential
This paper has highly influenced 16 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 180 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 122 extracted citations

181 Citations

051015'99'03'08'13'18
Citations per Year
Semantic Scholar estimates that this publication has 181 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-9 of 9 references

The SCOL manual version

  • Abney, Steven
  • 1997

Finite-State Parsing by Rule Sequences." International Conference on Computational Linguistics (COLING96). Copenhagen, Denmark, August

  • Vilain, Marc, David Day
  • The International Committee on Computational
  • 1996

MUC5 Evaluation Metrics,

  • Chinchor, Nancy, Beth Sundheim
  • Proc. Fifth Message Understanding Conference
  • 1993

WordNet: an On-line lexical database." International Journal of Lexicography

  • Miller, George
  • 1990

Computer Intensive methods for Testing Hypotheses

  • Noreen, Eric
  • 1989

Similar Papers

Loading similar papers…