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Using Flickr for Characterizing the Environment: An Exploratory Analysis.

, , and . COSIT, volume 86 of LIPIcs, page 21:1-21:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)

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Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification., , and . SemEval@COLING, page 361-366. International Committee for Computational Linguistics, (2020)Exploiting Flickr meta-data for predicting environmental features.. Cardiff University, UK, (2019)British Library, EThOS.Embedding Geographic Locations for Modelling the Natural Environment Using Flickr Tags and Structured Data., , and . ECIR (1), volume 11437 of Lecture Notes in Computer Science, page 51-66. Springer, (2019)A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings., , , and . COLING, page 5124-5135. International Committee on Computational Linguistics, (2020)Understanding People's Perceptions of Their Liveable Neighbourhoods: A Case Study of East Bristol (Short Paper)., and . GIScience, volume 277 of LIPIcs, page 24:1-24:6. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Embedding Geographic Locations for Modelling the Natural Environment using Flickr Tags and Structured Data., , and . CoRR, (2018)Using Flickr for Characterizing the Environment: An Exploratory Analysis., , and . COSIT, volume 86 of LIPIcs, page 21:1-21:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Mapping Wildlife Species Distribution With Social Media: Augmenting Text Classification With Species Names (Short Paper)., , and . GIScience, volume 114 of LIPIcs, page 34:1-34:6. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Predicting environmental features by learning spatiotemporal embeddings from social media., , and . Ecol. Informatics, (2020)