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Improving Implicit Semantic Role Labeling by Predicting Semantic Frame Arguments

Abstract · Apr 10, 2017 04:48 ·

isrl nombank semantic annotations arguments srl implicit explicit semantic role cs-cl

Arxiv Abstract

  • Quynh Ngoc Thi Do
  • Steven Bethard
  • Marie-Francine Moens

We introduce an approach to implicit semantic role labeling (iSRL) based on a recurrent neural semantic frame model that learns probability distributions over sequences of explicit semantic frame arguments. On the NomBank iSRL test set, the approach results in better state-of-the-art performance with much less reliance on manually constructed language resources.

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