{"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/semantic-document-distance-measures-and","title":"Semantic Document Distance Measures and Unsupervised Document Revision Detection","arxiv_id":"1709.01256","date":"2017-09-05","proceeding":"IJCNLP 2017 11","authors":["Xiaofeng Zhu","Diego Klabjan","Patrick Bless"],"abstract":"In this paper, we model the document revision detection problem as a minimum\ncost branching problem that relies on computing document distances.\nFurthermore, we propose two new document distance measures, word vector-based\nDynamic Time Warping (wDTW) and word vector-based Tree Edit Distance (wTED).\nOur revision detection system is designed for a large scale corpus and\nimplemented in Apache Spark. We demonstrate that our system can more precisely\ndetect revisions than state-of-the-art methods by utilizing the Wikipedia\nrevision dumps https://snap.stanford.edu/data/wiki-meta.html and simulated data\nsets.","url_abs":"http://arxiv.org/abs/1709.01256v2","url_pdf":"http://arxiv.org/pdf/1709.01256v2.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":"semantic-document-distance-measures-and","repo_url":"https://github.com/XiaofengZhu/wDTW-wTED","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"dynamic-time-warping","task_name":"Dynamic Time Warping"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}