Geospatial Entity Resolution-Reference-Cited by-同舟云学术

Geospatial Entity Resolution

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Balsebre Pasquale¹,Yao Dezhong²,Cong Gao¹,Hai Zhen³

Affiliation:

1. Nanyang Technological University, Singapore

2. Huazhong University of Science and Technology, China

3. DAMO Academy, Alibaba Group, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512026

Reference44 articles.

1. Rifaat Abdalla. 2016. Geospatial Data Integration. 105-124. https://doi.org/10.1007/978-3-319-33603-9_6 10.1007/978-3-319-33603-9_6

2. Rifaat Abdalla. 2016. Geospatial Data Integration. 105-124. https://doi.org/10.1007/978-3-319-33603-9_6

3. Dzmitry Bahdanau Kyunghyun Cho and Y. Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. ArXiv 1409 (09 2014). Dzmitry Bahdanau Kyunghyun Cho and Y. Bengio. 2014. Neural Machine Translation by Jointly Learning to Align and Translate. ArXiv 1409 (09 2014).

4. Modelling geographic data with multiple representations

5. Nils Barlaug and Jon Atle Gulla. 2020. Neural Networks for Entity Matching. CoRR abs/2010.11075(2020). arXiv:2010.11075https://arxiv.org/abs/2010.11075 Nils Barlaug and Jon Atle Gulla. 2020. Neural Networks for Entity Matching. CoRR abs/2010.11075(2020). arXiv:2010.11075https://arxiv.org/abs/2010.11075

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