W02-1206 classified synonym groups for synonym expansion ( Japanese thesaurus ) d . An
W00-1102 derived by a morphological or a synonym expansion . For example , at the first
S07-1067 content of headlines . We also used synonym expansion on the emotion label words .
C04-1164 proposed approach outperformed the synonym expansion approach . The overall performance
C04-1164 outperforms the baseline system with synonym expansion , especially in recall rate .
W00-1102 morphological derivations and synonym expansions . Both of them try to expand
P12-1029 choose the appropriate senses for synonym expansion . Among the different settings
P13-3014 plWordNet . Both the focus removal and synonym expansion have been implemented as options
W05-0605 problem , LSA is used as a type of synonym expansion in matching . For example , using
W04-1110 outperformed the keyword-based and synonym expansion approaches . <title> A Statistical
P15-1010 senses of the noun hood and the synonym expansion for these senses . We further
C02-1006 performances of " E " translation and synonyms expansion schemes are very close . In our
S07-1013 to annotate emotional content . Synonym expansion on the emotion label words was
W02-0309 and subword match incorporating synonym expansion : Plain Token Match ( WS ) .
P10-2055 network . Here we take a method of synonym expansion as the baseline , called WordNet
S07-1067 of emotions . This system uses synonym expansion and matches lemmatized unigrams
C04-1164 Vector-Space Model ( VSM ) and synonym expansion . The conceptual relations and
W02-1024 constraint and qtype . Finally , synonyms expansion is applied based on the synonym
C92-2082 should be useful for improved synonym expansion in information retrieval and
C02-1006 of the two-threshold method for synonyms expansion ( denotes as " Syn " ) is shown
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