{"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/automatic-labelling-of-topics-with-neural","title":"Automatic Labelling of Topics with Neural Embeddings","arxiv_id":"1612.05340","date":"2016-12-16","proceeding":"COLING 2016 12","authors":["Shraey Bhatia","Jey Han Lau","Timothy Baldwin"],"abstract":"Topics generated by topic models are typically represented as list of terms.\nTo reduce the cognitive overhead of interpreting these topics for end-users, we\npropose labelling a topic with a succinct phrase that summarises its theme or\nidea. Using Wikipedia document titles as label candidates, we compute neural\nembeddings for documents and words to select the most relevant labels for\ntopics. Compared to a state-of-the-art topic labelling system, our methodology\nis simpler, more efficient, and finds better topic labels.","url_abs":"http://arxiv.org/abs/1612.05340v2","url_pdf":"http://arxiv.org/pdf/1612.05340v2.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":"automatic-labelling-of-topics-with-neural","repo_url":"https://github.com/sb1992/NETL-Automatic-Topic-Labelling-","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"topic-models","task_name":"Topic Models"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1612.05340","atlas_url":"https://app.syntology.ai/?focus=1612.05340","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}