Abstract is missing.
- GeoEDdA: A Gold Standard Dataset for Geo-semantic Annotation of Diderot & d'Alembert's EncyclopédieLudovic Moncla, Denis Vigier, Katherine McDonough. 1-10 [doi]
- Geolocation Extraction From Reddit Text DataMila Stillman, Anna M. Kruspe. 11-20 [doi]
- Detecting Entity Descriptions from Chinese Historical TextsYe Xia, Bin Wang, Linxuan Yu, Xiaoci Lin, Hui Li. 21-24 [doi]
- Towards a Scalable Geoparsing Approach for the WebSheikh Mastura Farzana, Tobias Hecking. 25-33 [doi]
- Where is the News? Improving Toponym Identification and Differentiation in Online NewsJoseph Shingleton, Ana Basiri. 34-42 [doi]
- Fine-Tuning Transformers for Toponym Resolution: A Contextual Embedding Approach to Candidate RankingDiego Gomes, Ross S. Purves, Michele Volpi. 43-51 [doi]
- Enhancing Toponym Resolution with Fine-Tuned LLMs (Llama2)Xuke Hu, Jens Kersten. 52-56 [doi]
- Evidence for Systematic Bias in the Spatial Memory of Large Language ModelsNir Fulman, Abdulkadir Memduhoglu, Alexander Zipf. 57-62 [doi]
- Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation ExtractionErum Haris, Anthony G. Cohn 0001, John G. Stell. 63-73 [doi]
- Mapping Global Protest Tendencies: Geolocating Trends and Topics Through Wikipedia AnalysisJiyun Beak, Ludovic Moncla. 74-78 [doi]
- The Semantics of Generic Terms in Toponyms: Formal Semantics Meets Multi-source Big DataGiuseppe Samo, Francesco-Alessio Ursini. 79-90 [doi]
- Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?Ilya Ilyankou, Aldo Lipani, Stefano Cavazzi, Xiaowei Gao, James Haworth. 91-105 [doi]