Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Combining multiple evidence from different types of thesaurus for query expansion
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Noun Phrase Translations for Cross-Language Document Selection
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
UNED at ImageCLEF 2005: automatically structured queries with named entities over metadata
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Combining textual and visual features for image retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Searching cross-language metadata with automatically structured queries
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
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This paper describes UNED experiments at the Image CLEF bilingual ad hoc task. Two different strategies are attempted: i) automatic expansion and translation using noun phrases; ii) automatic detection of named entities in the query for structured search on image caption fields. All our experiments obtain results above the average MAP for the bilingual task. Structured searches using named entities improve performance over a strong baseline (Pirkola's structured query approach), achieving one of the best results for the whole bilingual track. Expansion with noun phrases, however, degrades results, possibly due to the mismatch between train and test collections.