Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
The automatic creation of literature abstracts
IBM Journal of Research and Development
Overview of the CLEF-2005 cross-language speech retrieval track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Dublin City University at CLEF 2006: cross-language speech retrieval (CL-SR) experiments
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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The Dublin City University participation in the CLEF 2005 CL-SR task concentrated on exploring the application of our existing information retrieval methods based on the Okapi model to the conversational speech data set. This required an approach to determining approximate sentence boundaries within the free-flowing automatic transcription provided to enable us to use our summary-based pseudo relevance feedback (PRF). We also performed exploratory experiments on the use of the metadata provided with the document transcriptions for indexing and relevance feedback. Topics were translated into English using Systran V3.0 machine translation. In most cases Title field only topic statements performed better than combined Title and Description topics. PRF using our adapted method is shown to be affective, and absolute performance is improved by combining the automatic document transcriptions with additional metadata fields.