Paper: A Machine Learning Approach To Answering Questions For Reading Comprehension Tests

ACL ID W00-1316
Title A Machine Learning Approach To Answering Questions For Reading Comprehension Tests
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 2000
Authors

In this paper, we report results on answering questions for the reading comprehension task, using a machine learning approach. We eval- uated our approach on the Remedia data set, a common data set used in several recent pa- pers on the reading comprehension task. Our learning approach achieves accuracy competi- tive to previous approaches that rely on hand- crafted, deterministic rules and algorithms. To the best of our knowledge, this is the first work that reports that the use of a machine learning approach achieves competitive results on answering questions for reading compre- hension tests.