Dataset Open Access

Temporal Model BERT-Base_Tweets

Kirsanov Simon


JSON Export

{"conceptdoi":"10.25592/uhhfdm.13699","conceptrecid":"13699","created":"2023-11-12T23:38:11.274083+00:00","doi":"10.25592/uhhfdm.13700","id":13700,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13700.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.13699.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.13699","doi":"http://doi.org/10.25592/uhhfdm.13700"},"metadata":{"access_right":"open","access_right_category":"success","communities":[{"id":"uhh"}],"creators":[{"name":"Kirsanov Simon"}],"description":"<p>Temporal Model &quot;BERT-Base&quot; finetuned on the &quot;Tweets&quot; dataset to solve the tasks of extraction and classification of temporal entities. Model produced in the master&#39;s thesis &quot;Extraction and Classification of Time in Unstructured Data [Kirsanov, 2023]&quot;.</p>","doi":"10.25592/uhhfdm.13700","keywords":["bert","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.13699","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":1,"index":0,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"13700"},"parent":{"pid_type":"recid","pid_value":"13699"}}]},"resource_type":{"title":"Dataset","type":"dataset"},"title":"Temporal Model BERT-Base_Tweets"},"owners":[512],"revision":2,"updated":"2023-11-16T09:10:10.869355+00:00"}

Cite record as