{"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/continuous-representation-of-location-for","title":"Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks","arxiv_id":"1708.04358","date":"2017-08-14","proceeding":"EMNLP 2017 9","authors":["Afshin Rahimi","Timothy Baldwin","Trevor Cohn"],"abstract":"We propose a method for embedding two-dimensional locations in a continuous\nvector space using a neural network-based model incorporating mixtures of\nGaussian distributions, presenting two model variants for text-based\ngeolocation and lexical dialectology. Evaluated over Twitter data, the proposed\nmodel outperforms conventional regression-based geolocation and provides a\nbetter estimate of uncertainty. We also show the effectiveness of the\nrepresentation for predicting words from location in lexical dialectology, and\nevaluate it using the DARE dataset.","url_abs":"http://arxiv.org/abs/1708.04358v1","url_pdf":"http://arxiv.org/pdf/1708.04358v1.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":"continuous-representation-of-location-for","repo_url":"https://github.com/afshinrahimi/geomdn","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}