Towards a context model driven German geo-tagging system

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2007, Pages 25-30

  Blessing, Andre ^a   Kuntz, Reinhard ^a   Schütze, Hinrich ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Disambiguation; Geographic named entity recognition

Indexed keywords

CONTEXT MODELS; DEPENDENCY RELATIONSHIP; KNOWLEDGE BASE; KNOWLEDGE BASIS; NAMED ENTITY RECOGNITION; NEW APPROACHES; PROOF OF CONCEPT; TAGGING SYSTEMS;

INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE MANAGEMENT;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77954346088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1316948.1316956     Document Type: Conference Paper

References (20)

1. http://www.bevoelkerungsstatistik.de.
2. http://www.navteq.com.
3. E. Amitay, N. Har'El, R. Sivan, and A. Soffer. Web-A-Where: Geotagging Web Content. In SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pages 273-280, New York, NY, USA, 2004. ACM Press.
4. A. Blessing, S. Klatt, D. Nicklas, S. Volz, and H. Schütze. Language-Derived Information and Context Models. In Proceedings of 3rd IEEE PerCom Workshop on Context Modeling and Reasoning (CoMoRea) (at 4th IEEE International Conference on Pervasive Computing and Communication (PerCom'06)), pages 24-29, 2006.
5. J. Carletta. Assessing Agreement on Classification Tasks: The Kappa Statistic. Computational Linguistics, 22(2):249-254, 1996.
6. H. L. Chieu and H. T. Ng. Named Entity Recognition with a Maximum Entropy Approach. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003, pages 160-163, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
7. P. Clough. Extracting Metadata for Spatially-Aware Information Retrieval on the Internet. In GIR '05: Proceedings of the 2005 workshop on Geographic information retrieval, pages 25-30, New York, NY, USA, 2005. ACM Press.
8. R. Florian, A. Ittycheriah, H. Jing, and T. Zhang. Named Entity Recognition through Classifier Combination. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003, pages 168-171, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
9. R. Grishman and B. Sundheim. Message Understanding Conference-6: A Brief History. In Proceedings of the 16th conference on Computational linguistics, pages 466-471, Morristown, NJ, USA, 1996. Association for Computational Linguistics.
10. M. Grossmann, M. Bauer, N. Hönle, U.-P. Käppeler, D. Nicklas, and T. Schwarz. Efficiently Managing Context Information for Large-scale Scenarios. In PERCOM '05: Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications, pages 331-340, Washington, DC, USA, 2005. IEEE Computer Society.
11. D. Klein, J. Smarr, H. Nguyen, and C. D. Manning. Named Entity Recognition with Character-level Models. In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003, pages 180-183, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
12. J. L. Leidner, G. Sinclair, and B. Webber. Grounding Spatial Named Entities for Information Extraction and Question Answering. In Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references, pages 31-38, Morristown, NJ, USA, 2003. Association for Computational Linguistics.
13. C. D. Manning, P. Raghavan, and H. Schütze. Introduction to Information Retrieval. Cambridge University Press, 2008.
14. A. Mikheev, M. Moens, and C. Grover. Named Entity Recognition without Gazetteers. In Proceedings of the Ninth Annual Conference of the European Chapter of the Association for Computational Linguistics, pages 1-8, Morristown, NJ, USA, 1999. Association for Computational Linguistics.
15. S. Overell, J. ao Magalhães, and S. Rüger. Place Disambiguation with Co-occurrence Models. In A. Nardi, C. Peters, and J. L. Vicedo, editors, CLEF 2006 Workshop, Abstracts, page 59, September 2006.
16. M. Rössler. Corpus-based Learning of Lexical Resources for German Named Entity Recognition. In In Proceedings of LREC, 2004.
17. M. J. Silva, B. Martins, M. S. Chaves, N. Cardoso, and A. P. Afonso. Adding Geographic Scopes to Web Resources. CEUS - Computers, Environment and Urban Systems - Elsevier Science, 30(4):378-399, July 2006.
18. E. F. Tjong Kim Sang and F. De Meulder. Introduction to the CONLL-2003 Shared Task: Language-Independent Named Entity Recognition. In W. Daelemans and M. Osborne, editors, Proceedings of CoNLL-2003, pages 142-147. Edmonton, Canada, 2003.
19. M. Volk and S. Clematide. Learn - Filter - Apply - Forget. Mixed Approaches to Named Entity Recognition. In NLDB'01: Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems, pages 153-163. GI, 2001.
20. G. Zhou and J. Su. Named Entity Recognition using an HMM-based Chunk Tagger. In ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pages 473-480, Morristown, NJ, USA, 2001. Association for Computational Linguistics.