作者: Rebecca Bruce , Janyce Wiebe
关键词: Schema (psychology) 、 Artificial intelligence 、 Noun 、 Word-sense disambiguation 、 Joint probability distribution 、 Natural language processing 、 Computer science
摘要: This paper presents and evaluates models created according to a schema that provides description of the joint distribution values sense tags contextual features is potentially applicable wide range content words. The are evaluated through series experiments, results which suggest particularly well suited nouns but it also words in other syntactic categories.