{"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/semantic-tagging-with-deep-residual-networks","title":"Semantic Tagging with Deep Residual Networks","arxiv_id":"1609.07053","date":"2016-09-22","proceeding":"COLING 2016 12","authors":["Johannes Bjerva","Barbara Plank","Johan Bos"],"abstract":"We propose a novel semantic tagging task, sem-tagging, tailored for the\npurpose of multilingual semantic parsing, and present the first tagger using\ndeep residual networks (ResNets). Our tagger uses both word and character\nrepresentations and includes a novel residual bypass architecture. We evaluate\nthe tagset both intrinsically on the new task of semantic tagging, as well as\non Part-of-Speech (POS) tagging. 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