W09-1217 in Table 1 . The performance of predicate classification on the development data of the
W08-2140 : predicate identification and predicate classification . Our experimental results show
N04-1005 classifiers for the purpose of predicate classification . In order to predict the tag
W09-1204 , argument classification and predicate classification are the three sub-components
W09-1218 . Since effective features for predicate classification are different for each language
W09-1218 classifier with global features . 3.1 Predicate Classification The first phase of SRL in our
W09-1217 non-projective property . 3.2 Predicate Classification To get the optimized system ,
W09-1207 3 Predicate Classification The predicate classification is regarded as a supervised word
W09-1217 predicate iden - tification , predicate classification , and semantic role labeling
W09-1207 components : syntactic parsing , predicate classification , and semantic role labeling
W09-1207 36 hours . During training the predicate classification ( PC ) and the semantic role
N10-1030 , 2008 ) first introduced the predicate classification task , which can be regarded
W09-1207 those of ( Carreras , 2007 ) . 3 Predicate Classification The predicate classification
W09-1217 on seven given languages . 2.2 Predicate Classification In this phase , we label the
W09-1212 syntactic-semantic parsing . 4 ) Predicate classification . The preprocessing and feature
W04-3213 ( or even a different kind of predicate classification , such as FrameNet ) , to determine
W09-1218 the models . 3.1.1 Features for Predicate Classification Word features : Predicted lemma
W09-1217 each other on seven languages . Predicate classification and semantic parsing are both
W09-1217 syntactic dependency relationships and predicate classification respectively . 2.1 Syntactic
W09-1217 , then construct the MEs-based predicates classification and the MEs-based semantic parser
hide detail