Predicate argument structure analysis with Pointer Networks

Abstract

Recently, neural network models are used in intra-sentential predicate argument structure analysis (PASA). However, the sequence labeling approach may assign the same case for multiple arguments. Thus, we propose a novel PASA method by using the Pointer Networks and alleviate the problem of multiple case assignments.