Automatic Multi-Layer Corpus Annotation for Evaluation Question Answering Methods: CBC4Kids

By Jochen L. Leidner, T. Dalmas, Bonnie Lynn Webber, Johan Bos, Claire Grover. 2003

6 citations recorded by the source corpus.

Subfields: Natural Language Processing, 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 Natural Language Processing

1. Matthew Richardson
2. Erin Renshaw
3. C. Burges
4. Peter Clark
5. Eric P. Xing
6. Mrinmaya Sachan
7. Antoine Bordes
8. Mohit Bansal

In Evaluation & Benchmarks

1. Matthew Richardson
2. C. Burges
3. Peter Clark
4. Eric P. Xing
5. Mrinmaya Sachan
6. Antoine Bordes
7. Chitta Baral
8. Jason Aaron Edward Weston

Citations in the corpus

• MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text (2013, background): “Leidner et al. (2003) both enriched the CBC4kids data by adding several layers of annotation (such as semantic and POS tags), and measured QA performance as a function of question difficulty.”