Information retrieval needs to match relevant texts with a given query. Selecting appropriate parts is useful when documents are long, and only portions are interesting to the user...
In this paper, we address both standard and focused retrieval tasks based on comprehensible language models and interactive query expansion (IQE). Query topics are expanded using a...
The University of California, Berkeley and the University of Liverpool are developing a Information Retrieval and Digital Library system (Cheshire3) that operates in both singlepr...
We describe the INEX 2004 participation of the Informatics Institute of the University of Amsterdam. We completely revamped our XML retrieval system, now implemented as a mixture l...
MUSART is a research project developing and studying new techniques for music information retrieval. The MUSART architecture uses a variety of representations to support multiple ...