Sl,ai,isl,ica,1 significance, kest,ing of diflkn'ences in values of metrics like recall, i)rccision mM batmined F-s(x)re is a ne(:cssm'y tmrt of eml)iri(:a.l ua.t;ural bmguage 1)ro(;easing. Unfi)rtunat,ely we inertly used tests of'ten ulnlerestimake i,he significm ce mM so a.re less likely to detect, difihrences l,hat exist between difM'eni techniques. This 1111deresl;illla(;ioll comes from an independcn(;e asSmnl)tion that is offten violated. Wc l)oint, out sonic ltse]'Hl l.es(,s (,]mL do nol, make lhis assmnl)- tion, including contput;a, tionally--iltcnsive domizai,ion tests.

Grammatical relationships (GRs) form an important level of natural language processing, but different sets of GRs are useful for different purposes. Therefore, one may often only have time to obtain a small training corpus with the desired GR annotations. To boost the performance from using such a small training corpus on a transformation rule learner, we use existing systems that find related types of annotations.

Homogeneity aspects in statistical analysis of coastal engineering data