i As the pace of biological research accelerates, biologists are becoming increasingly reliant on computers to manage the information explosion. Biologists communicate their resea...
Lynette Hirschman, Alexander A. Morgan, Alexander ...
In this paper we present a formal framework and tool supporting the user in the task of formulating a precise query – which best captures their information needs – even in the ...
Enrico Franconi, Paolo Guagliardo, Marco Trevisan,...
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...