{"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/referential-uncertainty-and-word-learning-in","title":"Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces","arxiv_id":"1609.09580","date":"2016-09-30","proceeding":null,"authors":["Michael Spranger","Katrien Beuls"],"abstract":"This paper discusses lexicon word learning in high-dimensional meaning spaces\nfrom the viewpoint of referential uncertainty. We investigate various\nstate-of-the-art Machine Learning algorithms and discuss the impact of scaling,\nrepresentation and meaning space structure. We demonstrate that current Machine\nLearning techniques successfully deal with high-dimensional meaning spaces. In\nparticular, we show that exponentially increasing dimensions linearly impact\nlearner performance and that referential uncertainty from word sensitivity has\nno impact.","url_abs":"http://arxiv.org/abs/1609.09580v1","url_pdf":"http://arxiv.org/pdf/1609.09580v1.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":"referential-uncertainty-and-word-learning-in","repo_url":"https://github.com/mspranger/icdl2016language","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"sensitivity","task_name":"Sensitivity"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}