{"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/word-sense-induction-with-neural-bilm-and","title":"Word Sense Induction with Neural biLM and Symmetric Patterns","arxiv_id":"1808.08518","date":"2018-08-26","proceeding":"EMNLP 2018 10","authors":["Asaf Amrami","Yoav Goldberg"],"abstract":"An established method for Word Sense Induction (WSI) uses a language model to\npredict probable substitutes for target words, and induces senses by clustering\nthese resulting substitute vectors.\n  We replace the ngram-based language model (LM) with a recurrent one. Beyond\nbeing more accurate, the use of the recurrent LM allows us to effectively query\nit in a creative way, using what we call dynamic symmetric patterns.\n  The combination of the RNN-LM and the dynamic symmetric patterns results in\nstrong substitute vectors for WSI, allowing to surpass the current\nstate-of-the-art on the SemEval 2013 WSI shared task by a large margin.","url_abs":"http://arxiv.org/abs/1808.08518v2","url_pdf":"http://arxiv.org/pdf/1808.08518v2.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":"word-sense-induction-with-neural-bilm-and","repo_url":"https://github.com/asafamr/SymPatternWSI","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"word-sense-induction","task_name":"Word Sense Induction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1808.08518","atlas_url":"https://app.syntology.ai/?focus=1808.08518","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}