{"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/unsupervised-knowledge-free-and-interpretable","title":"Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation","arxiv_id":"1707.06878","date":"2017-07-21","proceeding":"EMNLP 2017 9","authors":["Alexander Panchenko","Fide Marten","Eugen Ruppert","Stefano Faralli","Dmitry Ustalov","Simone Paolo Ponzetto","Chris Biemann"],"abstract":"Interpretability of a predictive model is a powerful feature that gains the\ntrust of users in the correctness of the predictions. In word sense\ndisambiguation (WSD), knowledge-based systems tend to be much more\ninterpretable than knowledge-free counterparts as they rely on the wealth of\nmanually-encoded elements representing word senses, such as hypernyms, usage\nexamples, and images. We present a WSD system that bridges the gap between\nthese two so far disconnected groups of methods. Namely, our system, providing\naccess to several state-of-the-art WSD models, aims to be interpretable as a\nknowledge-based system while it remains completely unsupervised and\nknowledge-free. The presented tool features a Web interface for all-word\ndisambiguation of texts that makes the sense predictions human readable by\nproviding interpretable word sense inventories, sense representations, and\ndisambiguation results. We provide a public API, enabling seamless integration.","url_abs":"http://arxiv.org/abs/1707.06878v1","url_pdf":"http://arxiv.org/pdf/1707.06878v1.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":"unsupervised-knowledge-free-and-interpretable","repo_url":"https://github.com/uhh-lt/wsd","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"word-sense-disambiguation","task_name":"Word Sense Disambiguation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}