Sciweavers

Share
LREC
2010

A Comprehensive Resource to Evaluate Complex Open Domain Question Answering

9 years 3 months ago
A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
We describe two corpora of question and answer pairs collected for complex, open-domain Question Answering (QA) to enable answer classification and re-ranking experiments. We deliver manually annotated answers to non-factoid questions from a QA system on both Web and TREC data. Moreover, we provide the same question/answer pairs in a rich data representation that includes syntactic parse trees and predicate argument structures and is compatible with the SVM-light toolkit. Experimenting with the above corpora allowed us to learn effective answer classifiers and re-rankers to improve the accuracy of our baseline QA system.
Silvia Quarteroni, Alessandro Moschitti
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where LREC
Authors Silvia Quarteroni, Alessandro Moschitti
Comments (0)
books