Dataset Open Access
Kirsanov Simon
{"conceptdoi":"10.25592/uhhfdm.13592","conceptrecid":"13592","created":"2023-11-01T21:26:48.338618+00:00","doi":"10.25592/uhhfdm.13593","id":13593,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13593.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13592.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.13592","doi":"http://doi.org/10.25592/uhhfdm.13593"},"metadata":{"access_right":"open","access_right_category":"success","creators":[{"name":"Kirsanov Simon"}],"description":"<p>Temporal Model "XLM-RoBERTa-Large" finetuned on the "Fullpate" dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master's thesis "Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]".</p>\n\n<p> </p>","doi":"10.25592/uhhfdm.13593","keywords":["xlm-roberta","temporal tagging","temporal extraction","information extraction","natural language processing","nlp","named entity recognition","ner","timex3","fullpate"],"language":"eng","license":{"id":"CC-BY-4.0"},"publication_date":"2023-11-01","related_identifiers":[{"identifier":"10.25592/uhhfdm.13592","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":1,"index":0,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"13593"},"parent":{"pid_type":"recid","pid_value":"13592"}}]},"resource_type":{"title":"Dataset","type":"dataset"},"title":"Temporal Model XLM-RoBERTa-Large_Fullpate"},"owners":[512],"revision":3,"updated":"2023-11-05T18:10:02.667977+00:00"}