{"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/making-sense-of-word-embeddings","title":"Making Sense of Word Embeddings","arxiv_id":"1708.03390","date":"2017-08-10","proceeding":"WS 2016 8","authors":["Maria Pelevina","Nikolay Arefyev","Chris Biemann","Alexander Panchenko"],"abstract":"We present a simple yet effective approach for learning word sense\nembeddings. In contrast to existing techniques, which either directly learn\nsense representations from corpora or rely on sense inventories from lexical\nresources, our approach can induce a sense inventory from existing word\nembeddings via clustering of ego-networks of related words. An integrated WSD\nmechanism enables labeling of words in context with learned sense vectors,\nwhich gives rise to downstream applications. Experiments show that the\nperformance of our method is comparable to state-of-the-art unsupervised WSD\nsystems.","url_abs":"http://arxiv.org/abs/1708.03390v1","url_pdf":"http://arxiv.org/pdf/1708.03390v1.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":"making-sense-of-word-embeddings","repo_url":"https://github.com/tudarmstadt-lt/sensegram","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}