Syntactic Graphs

AbstractThe advent of neural-networks in NLP brought with it substantial improvements in supervised relation extraction. However, obtaining a sufficient quantity of training data remains a key challenge. In this work …...

The exploitation of syntactic graphs (SyGs) as a word’s context has been shown to be beneficial for distributional semantic models (DSMs), both at the level of individual word representations and …...

AbstractRecent work has demonstrated the positive impact of incorporating linguistic representations as additional context and scaffolds on the in-domain performance of several NLP tasks. We extend this work by exploring …...