We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. Our approach leverages recent advances in...
This paper presents work done at Cambridge University for the TREC-9 Spoken Document Retrieval (SDR) track. The CUHTK transcriptions from TREC-8 with Word Error Rate (WER) of 20.5...
Sue E. Johnson, P. Jourlin, Karen Sparck Jones, Ph...
MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
We investigate the problem of how to extend constraint query languages with aggregate operators. We deal with standard relational aggregation, and also with aggregates speci c to ...
We prove lower bounds on the redundancy necessary to represent a set S of objects using a number of bits close to the information-theoretic minimum log2 |S|, while answering vario...