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Deep Read: A Reading Comprehension System

by: Lynette Hirschman, Marc Light, Eric Breck, and John D. Burger
In: Proc. ACL'99 (1999) .
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Abstract

This paper describes initial work on \bf Deep Read, and automated reading comprehension system that accepts arbitrary text input a story and answers questions about it. We have adquired 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 linguistic processing stemming, name identification, semantic class identification, and pronoun resolution. This simple system retrieves the sentence containing the answer 30-40\% of the time.

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