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arXiv · 2202.12160

Self-Attention for Incomplete Utterance Rewriting

Yong Zhang·Zhitao Li·Jianzong Wang·Ning Cheng·Jing Xiao
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Abstract

Incomplete utterance rewriting (IUR) has recently become an essential task in NLP, aiming to complement the incomplete utterance with sufficient context information for comprehension. In this paper, we propose a novel method by directly extracting the coreference and omission relationship from the self-attention weight matrix of the transformer instead of word embeddings and edit the original text accordingly to generate the complete utterance. Benefiting from the rich information in the self-attention weight matrix, our method achieved competitive results on public IUR datasets.

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Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao. 2022-02-24. Self-Attention for Incomplete Utterance Rewriting. https://arxiv.org/abs/2202.12160

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