FINITE STATE TRANSDUCER FOR VERB SUBCATEGORIZATION

摘要

This paper studies different approaches for extracting of information about verb subcategorization instances from corpora. The behavior of verbs in sub languages is highly specific and does not follow general principles of lexical'decomposition. NLP applications require specific lexicons for tasks like surface parsing and shallow semantic interpretation. The reduced set of verbal senses specific to a given domain is more appropriate for efficient processing in real world tasks (e.g. information extraction and retrieval). Some of the major applications of finite state transducers ranging from morphological analysis to finite state parsing. After partial parser has built basic syntactic units such as NPs, PPs & sentential complements, a finite state parser performs syntactic disambiguation & filtering of the results, in order to obtain a verb occurrence together with its associated syntactic component.