| tech,0-1-P95-1025,ak | Our objectives are met by giving clear definitions that determine the <term> projection </term> of <term> structures </term> from the <term> lexicon </term> , and identify <term> maximal projections </term> , <term> auxiliary trees </term> and <term> foot nodes </term> . <term> Corpus-based sense disambiguation methods </term> , like most other <term> statistical NLP approaches </term> , suffer from the problem of <term> data sparseness </term> . | #27712 Our objectives are met by giving clear definitions that determine the projection of structures from the lexicon, and identify maximal projections, auxiliary trees and foot nodes.Corpus-based sense disambiguation methods, like most other statistical NLP approaches, suffer from the problem of data sparseness. |
