Reducing Annotation Effort for Quality Estimation via Active Learning
By Daniel Beck, Lucia Specia, Trevor Cohn. 2013
9 citations recorded by the source corpus.
Subfields: Natural Language Processing, Machine Translation
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
- Lucia Specia
- Kashif Shah
- Daniel Beck
- Trevor Cohn
- Carolina Scarton
- David Langlois
- Varvara Logacheva
- Philipp Koehn
In Machine Translation
- Lucia Specia
- Daniel Beck
- Kashif Shah
- Trevor Cohn
- Daniel Preotiuc-Pietro
- David Langlois
- Varvara Logacheva
- Carolina Scarton
Citations in the corpus
- SHEF-Lite: When Less is More for Translation Quality Estimation (2013, methodology): “In previous work with 17 baseline features, we have shown that with only ∼ 30% of instances it is possible to achieve 99% of the full dataset performance in the case of the WMT12 QE dataset (Beck et al., 2013).”