Статистический разбор зависимостей

AbstractWe present our efforts to create a large-scale, semi-automatically annotated parallel corpus of cleft constructions. The corpus is intended to reduce or make more effective the manual task of finding …...

In this paper, we present a novel approach which incorporates the web-derived selec- tional preferences to improve statistical de- pendency parsing. Conventional selectional preference learning methods have usually fo- cused …...

. Robust statistical NLP tools, such as pos-taggers and syntax parsers, often use knowledge-poor features, which can easily be applied to any language, but which do not take into account …...