{"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/temporal-word-analogies-identifying-lexical","title":"Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings","arxiv_id":null,"date":"2017-07-01","proceeding":"ACL 2017 7","authors":["Terrence Szymanski"],"abstract":"This paper introduces the concept of temporal word analogies: pairs of words which occupy the same semantic space at different points in time. One well-known property of word embeddings is that they are able to effectively model traditional word analogies ({``}word $w_1$ is to word $w_2$ as word $w_3$ is to word $w_4${''}) through vector addition. Here, I show that temporal word analogies ({``}word $w_1$ at time $t_\\alpha$ is like word $w_2$ at time $t_\\beta${''}) can effectively be modeled with diachronic word embeddings, provided that the independent embedding spaces from each time period are appropriately transformed into a common vector space. When applied to a diachronic corpus of news articles, this method is able to identify temporal word analogies such as {``}Ronald Reagan in 1987 is like Bill Clinton in 1997{''}, or {``}Walkman in 1987 is like iPod in 2007{''}.","url_abs":"https://aclanthology.org/P17-2071","url_pdf":"https://aclanthology.org/P17-2071.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":"temporal-word-analogies-identifying-lexical","repo_url":"https://github.com/tdszyman/twapy","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"diachronic-word-embeddings","task_name":"Diachronic Word Embeddings"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}