Reading comprehension tests for computer-based understanding evaluation

By Ben Wellner, Lisa Ferro, Warren R. Greiff, Lynette Hirschman. 2005

25 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Eduard H. Hovy
2. Mohit Bansal
3. Eric P. Xing
4. Peter Clark
5. C. Burges
6. Luke S. Zettlemoyer
7. Jianfeng Gao
8. Percy Liang

In Evaluation & Benchmarks

1. Matthew Richardson
2. Eduard H. Hovy
3. Anselmo Peñas
4. C. Burges
5. Richard F. E. Sutcliffe
6. Álvaro Rodrigo
7. Peter Clark
8. Eric P. Xing

Citations in the corpus

• MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text (2013, methodology): “This dataset spurred several research efforts, for example using reinforcement learning (Grois and Wilkins, 2005), named entity resolution (Harabagiu et al., 2003) and mapping questions and answers to logical form (Wellner et al., 2006).”
• QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation (2013, methodology): “A more complete evaluation methodology of MR systems has been reported in [11], where the authors also proposed to use RC tests.”