NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue Inigo Casanueva author Ivan Vulić author Georgios Spithourakis author Paweł Budzianowski author 2022-07 text Findings of the Association for Computational Linguistics: NAACL 2022 Marine Carpuat editor Marie-Catherine de Marneffe editor Ivan Vladimir Meza Ruiz editor Association for Computational Linguistics Seattle, United States conference publication casanueva-etal-2022-nlu 10.18653/v1/2022.findings-naacl.154 https://aclanthology.org/2022.findings-naacl.154/ 2022-07 1998 2013