MGeo: Multi-Modal Geographic Language Model Pre-Training-Reference-Cited by-同舟云学术

MGeo: Multi-Modal Geographic Language Model Pre-Training

Published:2023-07-18 Issue: Volume: Page:
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Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Ding Ruixue¹^ORCID,Chen Boli¹^ORCID,Xie Pengjun¹^ORCID,Huang Fei¹^ORCID,Li Xin²^ORCID,Zhang Qiang²^ORCID,Xu Yao²^ORCID

Affiliation:

1. Damo Academy, Alibaba Group, Hangzhou, China

2. Gaode Map, Alibaba Group, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591728

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5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

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