Dataset Open Access
Kirsanov Simon
{"conceptdoi":"10.25592/uhhfdm.13636","conceptrecid":"13636","created":"2023-11-05T20:17:02.023857+00:00","doi":"10.25592/uhhfdm.13637","id":13637,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13637.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13636.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.13636","doi":"http://doi.org/10.25592/uhhfdm.13637"},"metadata":{"access_right":"open","access_right_category":"success","communities":[{"id":"uhh"}],"creators":[{"name":"Kirsanov Simon"}],"description":"<p>Temporal Model "XLM-RoBERTa-Base" finetuned on the "Tweets" 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>","doi":"10.25592/uhhfdm.13637","keywords":["xlm-roberta","temporal tagging","temporal extraction","information extraction","natural language processing","nlp","named entity recognition","ner","timex3","tweets"],"language":"eng","license":{"id":"CC-BY-4.0"},"publication_date":"2023-11-01","related_identifiers":[{"identifier":"10.25592/uhhfdm.13636","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":1,"index":0,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"13637"},"parent":{"pid_type":"recid","pid_value":"13636"}}]},"resource_type":{"title":"Dataset","type":"dataset"},"title":"Temporal Model XLM-RoBERTa-Base_Tweets"},"owners":[512],"revision":2,"updated":"2023-11-06T07:32:00.486783+00:00"}