Dialogue Rewriting
4 papers with code • 3 benchmarks • 2 datasets
CANARD
Most implemented papers
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
chin-gyou/dialogue-utterance-rewriter
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ACL 2019
To properly train the utterance rewriter, we collect a new dataset with human annotations and introduce a Transformer-based utterance rewriting architecture using the pointer network.
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration
Dialogue systems in open domain have achieved great success due to the easily obtained single-turn corpus and the development of deep learning, but the multi-turn scenario is still a challenge because of the frequent coreference and information omission.
Incomplete Utterance Rewriting as Semantic Segmentation
microsoft/ContextualSP
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EMNLP 2020
Recent years the task of incomplete utterance rewriting has raised a large attention.
Robust Dialogue Utterance Rewriting as Sequence Tagging
freesunshine0316/RaST-plus
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The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context.
