Abstract
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.
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Peinado, V., Artiles, J., López-Ostenero, F., Gonzalo, J., Verdejo, F. (2005). UNED at ImageCLEF 2004: Detecting Named Entities and Noun Phrases for Automatic Query Expansion and Structuring. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_63
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DOI: https://doi.org/10.1007/11519645_63
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