Multi-Granularity Information Interaction Framework for Incomplete
Utterance Rewriting
- URL: http://arxiv.org/abs/2312.11945v2
- Date: Mon, 8 Jan 2024 12:45:29 GMT
- Title: Multi-Granularity Information Interaction Framework for Incomplete
Utterance Rewriting
- Authors: Haowei Du, Dinghao Zhang, Chen Li, Yang Li, Dongyan Zhao
- Abstract summary: Recent approaches in Incomplete Utterance Rewriting (IUR) fail to capture the source of important words.
We propose a novel and effective multi-task information interaction framework including context selection, edit matrix construction, and relevance merging.
- Score: 32.05944198256814
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Recent approaches in Incomplete Utterance Rewriting (IUR) fail to capture the
source of important words, which is crucial to edit the incomplete utterance,
and introduce words from irrelevant utterances. We propose a novel and
effective multi-task information interaction framework including context
selection, edit matrix construction, and relevance merging to capture the
multi-granularity of semantic information. Benefiting from fetching the
relevant utterance and figuring out the important words, our approach
outperforms existing state-of-the-art models on two benchmark datasets
Restoration-200K and CANAND in this field. Code will be provided on
\url{https://github.com/yanmenxue/QR}.
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