Abstract

this paper, we present a two-phase SRL method based on a maximum entropy (ME) model. We first identify parse constituents that represent valid semantic arguments of a given predicate, and then assign appropriate semantic roles to the the identified parse constituents. In the two-phase SRL method, the performance of the argument identification phase is very important, because the argument classification is performed on the region identified at the identification phase. In this study, in order to improve the performance of identification, we try to incorporate clause boundary restriction and tree distance restriction into pre-processing of the identification phase

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