no code implementations • 10 Aug 2017 • Dasha Bogdanova, Majid Yazdani
We propose a novel model of representation learning called Supervised Explicit Semantic Analysis (SESA) that is trained in a supervised fashion to embed items to a set of dimensions with explicit semantics.
no code implementations • EACL 2017 • Dasha Bogdanova, Jennifer Foster, Daria Dzendzik, Qun Liu
We show that a neural approach to the task of non-factoid answer reranking can benefit from the inclusion of tried-and-tested handcrafted features.
no code implementations • LREC 2014 • Dasha Bogdanova, Angeliki Lazaridou
We propose a number of cross-language stylometric features for the task of CLAA, such as those based on sentiment and emotional markers.