{"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/concept-tagging-for-natural-language","title":"Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development","arxiv_id":"1807.10661","date":"2018-07-27","proceeding":null,"authors":["Jacopo Gobbi","Evgeny Stepanov","Giuseppe Riccardi"],"abstract":"Concept tagging is a type of structured learning needed for natural language\nunderstanding (NLU) systems. In this task, meaning labels from a domain\nontology are assigned to word sequences. In this paper, we review the\nalgorithms developed over the last twenty five years. We perform a comparative\nevaluation of generative, discriminative and deep learning methods on two\npublic datasets. We report on the statistical variability performance\nmeasurements. The third contribution is the release of a repository of the\nalgorithms, datasets and recipes for NLU evaluation.","url_abs":"http://arxiv.org/abs/1807.10661v1","url_pdf":"http://arxiv.org/pdf/1807.10661v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"concept-tagging-for-natural-language","repo_url":"https://github.com/fruttasecca/concept-tagging-with-neural-networks","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"natural-language-understanding","task_name":"Natural Language Understanding"},{"task_slug":"two","task_name":"Vocal Bursts Valence Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}