In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
To make multimedia data easily retrieved, we use metadata to describe the information, so that search engines or other information filter tools can effectively and efficiently loc...
We hypothesized that language modeling retrieval would improve if we reduced the need for document smoothing to provide an inverse document frequency (IDF) like effect. We create...