Learning word syntactic subcategorizations interactively

摘要

Learning algorithms that acquire syntactic knowledge for a parser from sample sentences entered by users who have no knowledge of the parser or English syntax are described. It is shown how the subcategorizations of verbs, nouns and adjectives can be inferred from sample sentences entered by end users. Then, if the parser fails to parse a sentence, for example Peter knows how to read books, because it has limited knowledge or no knowledge at all about ‘know’, an interface which incorporates the acquisition algorithms can be activated, and ‘know’ can be defined by entering some sample sentences, one of which can be the one which the parser failed to parse.