We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
This paper describes the supervised acquisition of semantic event frames based pus of biomedical abstracts, in which the biological process of E. coli gene regulation has been lin...
Yutaka Sasaki, Paul Thompson, Philip Cotter, John ...
Automatic online analysis of meetings is very important from three points of view: serving as an important archive of a meeting, understanding human interaction processes, and prov...
Xiang Zhang, Guangyou Xu, Xiaoling Xiao, Linmi Tao
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). Most of the prior works rely on sup...
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...