UB at CLEF2004 Cross Language Medical Image Retrieval

UB at CLEF2004: Part 2 - Cross Language Medical Image Retrieval

UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models

This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach based on statistical language modeling. Our Adhoc retrieval work used the TAPIR toolkit developed in house by M Srikanth. Our approach focused on the validation and adaptation of the language model system to work in a m...

University of Chicago at CLEF2004: Cross-language Text and Spoken Document Retrieval

The University of Chicago participated in the Cross-Language Evaluation Forum 2004 (CLEF2004) cross-language multilingual, bilingual, and spoken language tracks. Cross-language experiments focused on meeting the challenges of new languages with freely available resources. We found that modest e ectiveness could be achieved with the additional application of pseudo-relevance feedback to overcome...

UB at CLEF 2005: Bilingual CLIR and Medical Image Retrieval Tasks

This paper presents the results of the State University of New York at Buffalo in the Cross Language Evaluation Forum 2005 (CLEF 2005). We participated in monolingual Portuguese, bilingual EnglishPortuguese and in the medical image retrieval tasks. We used the SMART retrieval system for text retrieval in the mono and bilingual retrieval tasks on Portuguese documents. The main goal of this part ...

UB at CLEF 2005: Medical Image Retrieval Task

This work was part of SUNY at Buffalo’s overall participation in cross-language retrieval of image collections (ImageCLEF). Our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval of medical images that have clinical annotations in English, French and German. We used a system that combined the content-based image retrieval system GIFT and the well...