We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries. Since users speak co...
We describe race-free properties of a hardware description language called GEZEL. The language describes networks of cycle-true finite-state-machines with datapaths (FSMDs). We de...
Patrick Schaumont, Sandeep K. Shukla, Ingrid Verba...
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
Provenance access control has been recognized as one of the most important components in an enterprise-level provenance system. However, it has only received little attention in th...
Qun Ni, Shouhuai Xu, Elisa Bertino, Ravi S. Sandhu...