Genres

We present a novel hierarchical prior struc- ture for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task across natural language …...

AbstractThis paper presents an empirical study of linguistic formality. We perform an analysis of humans’ perceptions of formality in four different genres. These findings are used to develop a statistical …...

We present a reading corpus in Modern Standard Arabic to enrich the sparse collection of resources that can be leveraged for educational applications. The corpus consists of textbook material from …...

AbstractIn this paper, we attempt to improve upon the state-of-the-art in predicting a novel’s success by modeling the lexical semantic relationships of its contents. We created the largest dataset used …...