Name
Abstract | ||
|---|---|---|
While a reasonable amount of work has gone into automatically geoparsing text at the city or higher levels of granularity for different types of texts in different domains, there is relatively little research on geoparsing fine-grained locations such as buildings, green spaces and street names in text. This paper reports on how the Edinburgh Geoparser performs on this task for different types of literary text set in Edinburgh, the first UNESCO City of Literature. The non-copyrighted gold standard datasets created for this purpose are released along with this article. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10579-019-09443-x | Language Resources and Evaluation |
Keywords | Field | DocType |
Geoparsing, Geotagging, Georesolution, Fine-grained place names, Mining literary text, Edinburgh gazetteer | Computer science,Geoparsing,Geotagging,Natural language processing,Artificial intelligence | Journal |
Volume | Issue | ISSN |
53 | 4 | 1574-0218 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beatrice Alex | 1 | 237 | 25.59 |
| Claire Grover | 2 | 729 | 100.15 |
| Richard Tobin | 3 | 145 | 14.83 |
| Jon Oberlander | 4 | 1020 | 383.47 |