Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting (2022.naacl-main)
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| Challenge: | Existing studies do not consider semantic information between incomplete utterance and rewritten utterant or model the semantic structure implicitly and insufficiently. |
| Approach: | They propose a query-Enhanced network to bring semantic structural knowledge between incomplete utterance and rewritten utteras . they adopt a fast and effective edit operation scoring network to model the relation between two tokens based on extra information and the well-designed network . |
| Outcome: | The proposed query template explicitly brings semantic structural knowledge between the incomplete utterance and the rewritten utterant making model perceive where to refer back to or recover omitted tokens. |
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