Name
Abstract | ||
|---|---|---|
We are presenting a method to recognise geographical references in free text. Our tool must work on various languages with a mini- mum of language-dependent resources, except a gazetteer. The main difficulty is to disambiguate these place names by distinguishing places from persons and by selecting the most likely place out of a list of homographic place names world-wide. The system uses a number of language-independent clues and heuristics to disambiguate place name homographs. The final aim is to index texts with the countries and cities they mention and to automatically visualise this information on geographical maps using various tools. |
Year | Venue | Keywords |
|---|---|---|
2006 | Clinical Orthopaedics and Related Research | information retrieval,cs,indexation,da,it,pt |
Field | DocType | Volume |
Toponymy,Geocoding,Information retrieval,Visualization,Computer science,Heuristics,Artificial intelligence,Natural language processing | Journal | abs/cs/060 |
ISSN | Citations | PageRank |
Proceedings of the 5th International Conference on Language
Resources and Evaluation (LREC-2006), pp. 53-58. Genoa, Italy, 24-26 May 2006 | 35 | 2.85 |
References | Authors | |
2 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Pouliquen | 1 | 678 | 58.19 |
| Marco Kimler | 2 | 35 | 2.85 |
| Ralf Steinberger | 3 | 949 | 79.70 |
| Camelia Ignat | 4 | 456 | 42.11 |
| Tamara Oellinger | 5 | 39 | 3.68 |
| Ken Blackler | 6 | 35 | 2.85 |
| Flavio FUART | 7 | 64 | 6.75 |
| Wajdi Zaghouani | 8 | 197 | 21.27 |
| Anna Widiger | 9 | 269 | 15.89 |
| Ann-charlotte Forslund | 10 | 35 | 2.85 |
| Clive Best | 11 | 63 | 6.89 |