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BlendX: Complex Multi-Intent Detection with Blended Patterns
March 28, 2024, 4:48 a.m. | Yejin Yoon, Jungyeon Lee, Kangsan Kim, Chanhee Park, Taeuk Kim
cs.CL updates on arXiv.org arxiv.org
Abstract: Task-oriented dialogue (TOD) systems are commonly designed with the presumption that each utterance represents a single intent. However, this assumption may not accurately reflect real-world situations, where users frequently express multiple intents within a single utterance. While there is an emerging interest in multi-intent detection (MID), existing in-domain datasets such as MixATIS and MixSNIPS have limitations in their formulation. To address these issues, we present BlendX, a suite of refined datasets featuring more diverse patterns …
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