Use of Pretrained Language Models for Geographic Information Retrieval
Horde Vo, Alexis; Duckham, Matt; He, Estrid; Ranamuka, Nayomi; Benli, Rafe;
Use of Pretrained Language Models for Geographic Information Retrieval
By using recent pre-trained language models in Geographic Information Retrieval (GIR), this study aims to find origins for place names in Melbourne (Australia). We propose a multi-objective ensemble model that balances the retrieval between semantic and spatial matching, with an emphasis on spatial recommendations.
- RMIT University Australia
Geographic Information Retrieval
Geographic Information Retrieval
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
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