Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — i...
The Tokyo Institute of Technology team participated in the high-level feature extraction, surveillance event detection pilot and Rushes summarization tasks for TRECVID2008. In the...
Shanshan Hao, Yusuke Yoshizawa, Koji Yamasaki, Koi...
Similarity joins in databases can be used for several important tasks such as data cleaning and instance-based data integration. In this paper, we explore ways how to support such ...
A growing number of applications seek to incorporate automatically generated narrative structure into interactive virtual environments. In this paper, we evaluate a representation...