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Classical coreference systems encode various syntactic, discourse, and semantic phenomena explicitly, using heterogenous features com- puted from hand-crafted heuristics. In con- trast, we present a state-of-the-art coreference system that captures …...

In this paper we present an in-depth study on automatic feature selection for beam-search depen- dency parsers. The search strategy is inherited from the one implemented in MaltOptimizer, but searches …...

When assessing child language development, researchers have traditionally had to choose be- tween easily computable metrics focused on superficial aspects of language, and more expressive metrics that are carefully designed …...

Traditional sentiment classification methods often require polarity dictionaries or crafted features to utilize machine learning. How- ever, those approaches incur high costs in the making of dictionaries and/or features, which …...