Core Elements of Digital Gazetteers: Placenames, Categories, and Footprints
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
GeoCLEF: the CLEF 2005 cross-language geographic information retrieval track overview
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
A passage retrieval system for multilingual question answering
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
GeoCLEF 2006: the CLEF 2006 cross-language geographic information retrieval track overview
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the CLEF 2006 GeoCLEF Monolingual English task. Our system, named TALP-GeoIR, follows a similar architecture of the GeoTALP-IR system presented at GeoCLEF 2005 with some changes in the retrieval modes and the Geographical Knowledge Base (KB). The system has four phases performed sequentially: i) a Keyword Selection algorithm based on a linguistic and geographical analysis of the topics, ii) a geographical retrieval with Lucene, iii) a document retrieval task with the JIRS Passage Retrieval (PR) software, and iv) a Document Ranking phase. A Geographical KB has been built using a set of publicly available geographical gazetteers and the Alexandria Digital Library (ADL) Feature Type Thesaurus. In our experiments we have used JIRS, a state-of-the-art PR system for Question Answering, for the GIR task. We also have experimented with an approach using both JIRS and Lucene. In this approach JIRS was used only for textual document retrieval and Lucene was used to detect the geographically relevant documents. These experiments show that applying only JIRS we obtain better results than combining JIRS and Lucene.