Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning

Autor:	Zfania Tom, Korach, Sharmitha, Yerneni, Jonathan, Einbinder, Carl, Kallenberg, Li, Zhou
Rok vydání:	2021
Předmět:	Data Mining Humans Articles Data Curation Natural Language Processing
Zdroj:	AMIA Annu Symp Proc
ISSN:	1942-597X
Popis:	Information extraction (IE), the distillation of specific information from unstructured data, is a core task in natural language processing. For rare entities (
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::65db9f570ad19964b4b9001735dce89c https://pubmed.ncbi.nlm.nih.gov/33936440 Zobrazit plný text záznamu