{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hierarchical-multi-task-natural-language","title":"Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU","arxiv_id":"1910.00912","date":"2019-10-02","proceeding":"WS 2019 9","authors":["Andrea Vanzo","Emanuele Bastianelli","Oliver Lemon"],"abstract":"We present a new neural architecture for wide-coverage Natural Language Understanding in Spoken Dialogue Systems. 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