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ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps. (arXiv:2203.09127v3 [cs.CL] UPDATED)
June 13, 2022, 1:12 a.m. | Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, Shikun Feng
cs.CL updates on arXiv.org arxiv.org
Pre-trained models (PTMs) have become a fundamental backbone for downstream
tasks in natural language processing and computer vision. Despite initial gains
that were obtained by applying generic PTMs to geo-related tasks at Baidu Maps,
a clear performance plateau over time was observed. One of the main reasons for
this plateau is the lack of readily available geographic knowledge in generic
PTMs. To address this problem, in this paper, we present ERNIE-GeoL, which is a
geography-and-language pre-trained model designed and developed …
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