Dataset Open Access
Kirsanov Simon
{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.13593","@type":"Dataset","creator":[{"@type":"Person","affiliation":"","name":"Kirsanov Simon"}],"datePublished":"2023-11-01","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>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/1dcc2765-96d8-481f-93a4-c941e0a8213f/xlm-roberta-large_fullpate_multi.zip","encodingFormat":"zip"}],"identifier":"http://doi.org/10.25592/uhhfdm.13593","inLanguage":{"@type":"Language","alternateName":"eng","name":"English"},"keywords":["xlm-roberta","temporal tagging","temporal extraction","information extraction","natural language processing","nlp","named entity recognition","ner","timex3","fullpate"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Temporal Model XLM-RoBERTa-Large_Fullpate","url":"https://www.fdr.uni-hamburg.de/record/13593"}