no code implementations • NAACL 2018 • Nicola Ueffing, Jos{\'e} G. C. de Souza, Gregor Leusch
In this paper, we present different approaches: The first one is a Random Forest (RF) model that explores hand-crafted, robust features, which are a mix of established features commonly used in Machine Translation Quality Estimation (MTQE) and new features developed specifically for our task.
no code implementations • NAACL 2018 • Prashant Mathur, Nicola Ueffing, Gregor Leusch
These browse pages require a title describing the content of the page.
no code implementations • WS 2017 • Prashant Mathur, Nicola Ueffing, Gregor Leusch
We present two approaches to generate titles for browse pages in five different languages, namely English, German, French, Italian and Spanish.