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arXiv · 1809.02796

Attentive Semantic Role Labeling with Boundary Indicator

Zhuosheng Zhang·Shexia He·Zuchao Li·Hai Zhao
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Abstract

The goal of semantic role labeling (SRL) is to discover the predicate-argument structure of a sentence, which plays a critical role in deep processing of natural language. This paper introduces simple yet effective auxiliary tags for dependency-based SRL to enhance a syntax-agnostic model with multi-hop self-attention. Our syntax-agnostic model achieves competitive performance with state-of-the-art models on the CoNLL-2009 benchmarks both for English and Chinese.

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Zhuosheng Zhang, Shexia He, Zuchao Li, Hai Zhao. 2018-09-08. Attentive Semantic Role Labeling with Boundary Indicator. https://arxiv.org/abs/1809.02796

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