Papers with multi-intent detection

2 papers
BlendX: Complex Multi-Intent Detection with Blended Patterns (2024.lrec-main)

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Challenge: Existing datasets such as MixATIS and MixSNIPS have limitations in their formulation.
Approach: They propose a set of multi-intent detection datasets that feature more diverse patterns than their predecessors.
Outcome: The proposed datasets feature more diverse patterns than their predecessors and are more complex and diverse than existing datasets.
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection (2022.findings-emnlp)

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Challenge: DialogUSR is a plug-in and domain-agnostic module that empowers multi-intent detection for chatbots . a single user query triggers inquiries on highspeed train ticket price and weather of destination.
Approach: They propose a dialog utterance splitting and reformulation task that splits multi-intent user query into multiple single-intention sub-queries and recovers all coreferred and omitted information in the sub-questions.
Outcome: The proposed model can be used to split multi-intent user queries into multiple sub-queries . it can be trained in two stages and perform in-depth analyses on the proposed models .

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