In this paper, we present a simple yet novel method of exploiting unlabeled text to further improve the accuracy of a high-performance state-of-theart named entity recognition (NE...
This paper presents techniques to apply semi-CRFs to Named Entity Recognition tasks with a tractable computational cost. Our framework can handle an NER task that has long named e...
In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...
This report describes the methods and results of a system developed for the GREC Named Entity Recognition and GREC Named Entity Regeneration Challenges 2010. We explain our proces...
Nicole L. Sparks, Charles F. Greenbacker, Kathleen...
The emergence of highly parallel computing platforms is enabling new trade-offs in algorithm design for automatic speech recognition. It naturally motivates the following investig...
Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keut...