  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.
