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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>
.
#27712Our 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.