W03-1303 implemented a statistical method for term classification . In their approach , each class
W03-1303 classification algorithms , the existing term classification approaches typically rely on
S14-2053 an ensemble system . Our aspect term classification model is based on Random Forest
W03-1300 scientific knowledge , that is term classification . Reported classification techniques
W03-1303 paper we present an approach to term classification based on verb complementation
D13-1073 results verify our intuition that term classification does help in definition classification
N13-2003 the most representative for the term classification ( Table 2 ) . For the EaD corpus
D14-1178 other similarity metrics in a term classification task . In another experiment
C02-1083 experiments with fine-grained term classification . <title></title> <authors></authors>
W02-1408 future work will focus on the term classification and the consistent population
N12-1089 . The results of the intended term classification task on gold standard data from
N13-2003 recall , and F-measure scores of term classification according to the gold standard
D13-1073 where the system first performs term classification before definition classification
C00-1047 strong discriminative ability in term classification ; this possibility deserves further
W03-1303 brief overview of the existing term classification approaches and suggest the main
H91-1068 similarity measure that we use for term classification is based on quantitative information
E03-1077 possibility of using an automatic term classification system as an alternative structuring
W03-1303 paper , we compare some of the term classification approaches and introduce another
W03-1303 semantically similar terms together ) and term classification ( the process of assigning terms
J79-1015 and document content analysis term classification , optimum thesaurus construction
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