Overview of the Answer Validation Exercise 2007
By Anselmo Peñas, Álvaro Rodrigo, M. Felisa Verdejo. 2006
138 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Retrieval & Search, 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
- Andreas Vlachos
- Mohit Bansal
- James Thorne
- Furu Wei
- Jianfeng Gao
- Sebastian Riedel
- Ming Zhou
- Hannaneh Hajishirzi
In Information Retrieval & Search
- Eduard H. Hovy
- Nan Yang
- Zhen Huang
- Arpit Mittal
- James Thorne
- Andreas Vlachos
- Christos Christodoulopoulos
- Yuxing Peng
In Evaluation & Benchmarks
- Andreas Vlachos
- James Thorne
- Arpit Mittal
- Christos Christodoulopoulos
- Sebastian Riedel
- Eduard H. Hovy
- Nan Yang
- Zhen Huang
Citations in the corpus
- FEVER: a Large-scale Dataset for Fact Extraction and VERification (2018, methodology): “Claim verification is also related to the multilingual Answer Validation Exercise (Rodrigo et al., 2009) conducted in the context of the TREC shared tasks.”
- Read + Verify: Machine Reading Comprehension with Unanswerable Questions (2018, background): “Later, the answer validation exercise (Rodrigo et al., 2008) has been proposed to decide whether an answer is correct or not according to a given supporting text and a question, but the dataset is too small for neural network-based approaches.”
- QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation (2013, methodology): “AVE was a task focused on the evaluation of AV systems and it was defined as a problem of RTE in order to promote a deeper analysis in QA.”