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Weijun Pan, Peiyuan Jiang, Zhuang Wang, Yukun Li and Zhenlong Liao
In recent years, the emergence of large-scale pre-trained language models has made transfer learning possible in natural language processing, which overturns the traditional model architecture based on recurrent neural networks (RNN). In this study, we c...
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Huajie Wang and Yinglin Wang
The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understanding c...
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Jun Xu and Lei Hu
Place descriptions record qualitative information related to places and their spatial relationships; thus, the geospatial semantics of a place can be extracted from place descriptions. In this study, geotagged microblog short texts recorded in 2017 from ...
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Yu Wang, Yining Sun, Zuchang Ma, Lisheng Gao and Yang Xu
Named Entity Recognition (NER) is the fundamental task for Natural Language Processing (NLP) and the initial step in building a Knowledge Graph (KG). Recently, BERT (Bidirectional Encoder Representations from Transformers), which is a pre-training model,...
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Ernie Hendrawaty(1), (1) Department of Management, Faculty of Economics and Business, Universitas Lampung, Indonesia
Pág. 71 - 80
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Frederick H. Peens, Ernie H.G. Langner
Pág. 1 bladsy
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Gojanovic, Tony; Jimenez, Ernie
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Jim Underwood,Ernie Jordan
This paper, examining Information Systems in New South Wales universities, highlights the significance of New South Wales as the most populous state in Australia. Rather than offering a comprehensive coverage of all Information Systems courses in the sta...
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Scott Contini; Ernie Croot; Igor E. Shparlinski
Pág. 983 - 996
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