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Geographical information recognition and visualization in texts written in various languages

Published:14 March 2004Publication History

ABSTRACT

In this paper, we describe a system that recognises place names in natural language text and produces geographic maps and animations showing the geographical coverage of texts about a certain subject as it changes over time. As the system is built to analyse texts in many different languages, it restricts the usage of linguistic analysis tools to the minimum. Instead, it relies on a gazetteer containing place names in different languages and uses heuristics for disambiguation purposes.

References

  1. Best, C., van der Goot, E., de Paola, M., Garcia, T., and Horby, D. Europe Media Monitor -- EMM, Technical Note No I.02.88, Internal document, IPSC, Joint Research Centre, Ispra, Italy, September 2002]]Google ScholarGoogle Scholar
  2. Bilhaut, F., Charnois, T., Enjalbert, P., and Mathet, Y. Geographic reference analysis for geographic document querying. Workshop on the Analysis of Geographic References at the NAACL-HLT 2003 conference (Edmonton, Canada, May 2003)]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Christel, M. C., Olligschlaeger, A. M., and Huang, C. Interactive Maps for a Digital Video Library, IEEE Multimedia, Vol. 7(1), Jan-Mar 2000, 60--67]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Daille, B., and Morin, E. Reconnaissance automatique des noms propres de la langue écrite: les récentes réalisations. In: D. Maurel & F. Guenthner: Traitement automatique des langues Vol. 41/3. Hermes, 2000. 601--623]]Google ScholarGoogle Scholar
  5. Densham, I., and Reid, J. A Geo-coding service encompassing a geo-parsing tool and integrated digital gazetteer service. Workshop on the Analysis of Geographic References at the NAACL-HLT 2003 conference (Edmonton, Canada, May 2003)]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Friburger, N., and Maurel, D. Textual Similarity Based on Proper Names. (MFIR'2002) at the 25 th ACM SIGIR Conference (Tampere, Finland, 2002) 155--167]]Google ScholarGoogle Scholar
  7. Gale, W., Church, K., and Yarowsky, D. One sense per discourse. In Proceedings of the Fourth DARPA Speech and Natural Language Workshop (Pacific Grove, California, February 1991) 233--237]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Gey, F. Research to Improve Cross-Language Retrieval -- Position Paper for CLEF. In Carol Peters (ed.): Cross-Language Information Retrieval and Evaluation, Workshop of Cross-Language Evaluation Forum, CLEF 2000, Lisbon, Portugal. Lecture Notes in Computer Science 2069, Springer.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hyland, R., Clifton, C., and Holland, R. GeoNODE: Visualizing News in Geospatial Environments. In Proceedings of the Federal Data Mining Symposium and Exhibition '99, AFCEA (Washington DC, March 1999)]]Google ScholarGoogle Scholar
  10. Leidner, J., Sinclair, G., Webber, B. Grounding spatial named entities for information extraction and question answering, Workshop on the Analysis of Geographic References at the NAACL-HLT 2003 conference (Edmonton, Canada, May 2003)]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Maurel, D., Piton, O., Eggert, E. Les relations entre noms propers: lieux et habitants dans le projet Prolex, In: D. Maurel & F. Guenthner: Traitement automatique des langues Vol. 41/3, Hermes, 2001 623--641]]Google ScholarGoogle Scholar
  12. Mikheev, A., Moens, M., and Gover, C. Named Entity Recognition without Gazetteers, In Proceedings of EACL '99 (Bergen, Norway, June 1999)]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Pastra, K., Maynard, D., Hamza, O., Cunningham, H., and Wilks, V. How Feasible is the Reuse of Grammars for Named Entity Recognition? In Proceedings of the 3rd LREC (Las Palmas, Canary Islands, Spain, June 2002)]]Google ScholarGoogle Scholar
  14. Piton, O., and Maurel, D. Les Noms Propres Géographiques et le Dictionnaire Prolintex, les lieux situés hors de France. in Proceedings of the 4th INTEX workshop (Bordeaux, France, June 2001)]]Google ScholarGoogle Scholar
  15. Sparck-Jones, K., and Galliers, J. Evaluating Natural Language Processing Systems: an Analysis and Review. Lecture Notes in Artificial Intelligence 1083. Springer-Verlag, 1996.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Woodruff, A. G., and Plaunt, C. GIPSY: Georeferenced Information Processing System. Journal of the American Society for Information Science, Vol. 45 No. 9, 1994, 645---655]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Geographical information recognition and visualization in texts written in various languages

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      cover image ACM Conferences
      SAC '04: Proceedings of the 2004 ACM symposium on Applied computing
      March 2004
      1733 pages
      ISBN:1581138121
      DOI:10.1145/967900

      Copyright © 2004 ACM

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      Publication History

      • Published: 14 March 2004

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