Active Learning from Scratch in Diverse Humanities Textual Domains: Optimizing Annotation Efficiency for Language-Agnostic NER
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https://dataverse.nl/citation?persistentId=doi:10.34894/XRYTHT
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资源简介：
Abstract of paper 0766 presented at the Digital Humanities Conference 2019 (DH2019), Utrecht , the Netherlands 9-12 July, 2019.
提供机构：
Computational Approaches to Modeling Language Lab, New York University Abu Dhabi, United Arab Emirates; Department of Linguistics, Ohio State University, Ohio, USA; Digital Humanities, New York University Abu Dhabi, United Arab Emirates; Département d'histoire et de théorie des arts, Ecole normale supérieure, Paris Sciences Lettres, Paris, France
创建时间：
2019-01-01
