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Analyzing the reading comprehension task

Published: 30 April 2000 Publication History

Abstract

In this paper we describe a method for analyzing the reading comprehension task. First, we describe a method of classifying facts (information) into categories or levels; where each level signifies a different degree of difficulty of extracting a fact from a piece of text containing it. We then proceed to show how one can use this model the analyze the complexity of the reading comprehension task. Finally, we analyze five different reading comprehension tasks and present results from this analysis.

References

[1]
ARPA. 1993. Fifth Message Understanding Conference (MUC-5), San Mateo, August. Morgan Kaufmann Publishers, Inc.
[2]
Amit Bagga and Alan W. Biermann. 1997. Analyzing the Complexity of a Domain With Respect To An Information Extraction Task. In Tenth International Conference on Research on Computational Linguistics (ROCLING X), pages 175--194, August.
[3]
Amit Bagga and Alan W. Biermann. 1998. Analyzing the Performance of Message Understanding Systems. Journal of Computational Linguistics and Chinese Language Processing, 3(1):1--26, February.
[4]
Amit Bagga, Wlodek Zadrozny, and James Pustejovsky. 1999. Semantics and Complexity of Question Answering Systems: Towards a Moore's Law for Natural Language Engineering. In 1999 AAAI Fall Symposium Series on Question Answering Systems, pages 1--10, November.
[5]
DARPA. 1991. Third Message Understanding Conference (MUC-3), San Mateo, May. Morgan Kaufmann Publishers, Inc.
[6]
DARPA. 1992. Fourth Message Understanding Conference (MUC-4), San Mateo, June. Morgan Kaufmann Publishers, Inc.
[7]
DARPA: TIPSTER Text Program. 1995. Sixth Message Understanding Conference (MUC-6), San Mateo, November. Morgan Kaufmann Publishers, Inc.
[8]
DARPA: TIPSTER Text Program. 1998. Seventh Message Understanding Conference (MUC-7). http://www.muc.saic.com/proceedings/muc_7_toc.html, April.
[9]
D. K. Harman, editor. 1999. Eighth Text REtrieval Conference (TREC-8). National Institute of Standards and Technology (NIST), U.S. Department of Commerce, National Technical Information Service, November.
[10]
Gary G. Hendrix. 1979. Encoding Knowledge in Partitioned Networks. In Nicholas V. Findler, editor, Associative Networks, pages 51--92. Academic Press, New York.
[11]
Lynette Hirschman et al. 1999. Deep Read: A Reading Comprehension System. In 37th Annual Meeting of the Association of Computational Linguistics, pages 325--332, June.
[12]
Lynette Hirschman. 1992. An Adjunct Test for Discourse Processing in MUC-4. In Fourth Message Understanding Conference (MUC-4) (DAR, 1992), pages 67--77.
[13]
Lenhart K. Schubert et al. 1979. The Structure and Organization of a Semantic Net for Comprehension and Inference. In Nicholas V. Findler, editor, Associative Networks, pages 121--175. Academic Press, New York.
[14]
Amit Singhal. 1999. Question Answering Track at TREC-8. http://www.research.att.com/~singhal/qa-track-spec.txt, November.
[15]
Beth M. Sundheim. 1993. Tipster/MUC-5 Information Extraction System Evaluation. In Fifth Message Understanding Conference (MUC-5) (ARP, 1993), pages 27--44.

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cover image DL Hosted proceedings
NAACL-ANLP-SSCNLPS '00: Proceedings of the 2000 NAACL-ANLP Workshop on Syntactic and semantic complexity in natural language processing systems - Volume 1
April 2000
74 pages

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Association for Computational Linguistics

United States

Publication History

Published: 30 April 2000

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