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AIIA
2007
Springer
16 years 24 days ago
English Querying over Ontologies: E-QuOnto
Relational database (DB) management systems provide the standard means for structuring and querying large amounts of data. However, to access such data the exact structure of the D...
Raffaella Bernardi, Francesca Bonin, Diego Calvane...
SIGIR
2002
ACM
15 years 6 months ago
Predicting query performance
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
TREC
2007
15 years 7 months ago
Question Answering with LCC's CHAUCER-2 at TREC 2007
In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer ...
Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Ben...
SIGIR
2006
ACM
16 years 17 days ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
ACL
1998
15 years 8 months ago
Beyond N-Grams: Can Linguistic Sophistication Improve Language Modeling?
It seems obvious that a successful model of natural language would incorporate a great deal of both linguistic and world knowledge. Interestingly, state of the art language models...
Eric Brill, Radu Florian, John C. Henderson, Lidia...