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The ETH group participated in this year`s TREC in the following tracks: automatic adhoc (long and short), the manual adhoc, routing, and confusion. We also did some experiments on the chinese data which were not submitted. While for adhoc we relied mainly on methods which were well evaluated in previous TRECs, we successfully tried completely new techniques(More)
1998 Acknowledgements I wish to express my gratitude to Prof. Peter Schh auble, my supervisor for the last four years, for his support and guidance that made this work possible. I am also thankful to Prof. C.J. van Rijsbergen for accepting to be co-examiner. I would like to thank all my colleagues from the Document and Information Processing Group for their(More)
We report here on our participation in the 1995 Text Retrieval (TREC 4) conference. This was limited to participation in the interactive searching task due to a re-implementation of our SPIDER retrieval system. We report on two aspects of the SPIDER system that are particularly useful for interactive searching, namely the use of fast query evaluation, and(More)
A conventional text retrieval method is improved by two additional sources of evidence of relevance: rst, by a passage retrieval method that is based on Hidden Markov Models and second, by a so-called link method which was originally developed for hypertext retrieval. The results show that the two additional sources of evidence improve a conventional vector(More)
A relational database (DB) management system is extended by the SPIDER Information Retrieval (IR) system to provide IR operations on data stored in the DB system. The IR data stored in the IR system is obtained by analyzing the objects in the database. This derived data is needed for advanced IR operations such as relevance ranking and relevance feedback.(More)
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