Multilingual parallel text corpora provide a powerful means for propagating linguistic knowledge across languages. We present a model which jointly learns linguistic structure for...
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
Answer-set programming (ASP) is widely recognised as a viable tool for declarative problem solving. However, there is currently a lack of tools for developing answer-set programs....
In this paper, we propose a novel approach to expand queries by exploring both location information and topic information of the queries. Users at different locations tend to have...
Shu Huang, Qiankun Zhao, Prasenjit Mitra, C. Lee G...