{"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/shotgunwsd-an-unsupervised-algorithm-for","title":"ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing","arxiv_id":"1707.08084","date":"2017-07-25","proceeding":"EACL 2017 4","authors":["Andrei M. Butnaru","Radu Tudor Ionescu","Florentina Hristea"],"abstract":"In this paper, we present a novel unsupervised algorithm for word sense\ndisambiguation (WSD) at the document level. Our algorithm is inspired by a\nwidely-used approach in the field of genetics for whole genome sequencing,\nknown as the Shotgun sequencing technique. The proposed WSD algorithm is based\non three main steps. First, a brute-force WSD algorithm is applied to short\ncontext windows (up to 10 words) selected from the document in order to\ngenerate a short list of likely sense configurations for each window. In the\nsecond step, these local sense configurations are assembled into longer\ncomposite configurations based on suffix and prefix matching. The resulted\nconfigurations are ranked by their length, and the sense of each word is chosen\nbased on a voting scheme that considers only the top k configurations in which\nthe word appears. We compare our algorithm with other state-of-the-art\nunsupervised WSD algorithms and demonstrate better performance, sometimes by a\nvery large margin. We also show that our algorithm can yield better performance\nthan the Most Common Sense (MCS) baseline on one data set. Moreover, our\nalgorithm has a very small number of parameters, is robust to parameter tuning,\nand, unlike other bio-inspired methods, it gives a deterministic solution (it\ndoes not involve random choices).","url_abs":"http://arxiv.org/abs/1707.08084v1","url_pdf":"http://arxiv.org/pdf/1707.08084v1.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":[],"tasks":[{"task_slug":"common-sense-reasoning","task_name":"Common Sense Reasoning"},{"task_slug":"word-sense-disambiguation","task_name":"Word Sense Disambiguation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/word-sense-disambiguation-on-semeval-2007-1","task":"Word Sense Disambiguation","dataset":"SemEval 2007 Task 7","model":"ShotgunWSD 2.0","rank_in_archive_order":8,"of":10,"metrics":{"F1":"81.22","Unsupervised":"yes"},"uses_additional_data":false},{"leaderboard":"/sota/word-sense-disambiguation-on-semeval-2013","task":"Word Sense Disambiguation","dataset":"SemEval 2013 Task 12","model":"ShotgunWSD 2.0","rank_in_archive_order":12,"of":12,"metrics":{"F1":"63.05","Unsupervised":"yes"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}