SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A multi-system analysis of document and term selection for blind feedback
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Classifying and filtering blind feedback terms to improve information retrieval effectiveness
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
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Standard blind feedback techniques have been applied to geographic information retrieval (GIR) with limited success. To facilitate more geographically oriented blind feedback, this paper explores the use of meronymy (part-whole) relations for term selection, based on a meronymy predicate for selecting feedback terms.Different methods are evaluated on the German GeoCLEF 2006data, measuring standard evaluation measures such as mean average precision (MAP) or precision at five documents. To achieve a trade-off between coverage and ambiguity, a new geographic knowledge base is created, containing important place names only, which reduces ambiguity. Results indicate that blind feedback improves performance for some topics, but does not considerably change MAP in the setup. However, a higher precision at five documents is achieved if more geographically oriented term selection criteria are applied.