This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Laser wakefield particle accelerators have shown the potential to generate electric fields thousands of times higher than those of conventional accelerators. The resulting extreme...
In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe a platform independent and...
Abstract. OpenComRTOS is one of the few Real-Time Operating Systems (RTOS) for embedded systems that was developed using formal modeling techniques. The goal was to obtain a proven...
Research on Question Answering has produced an arsenal of useful techniques for detecting answers that are explicitly present in the text of a collection of documents. To move bey...
Reinhard Stolle, Daniel G. Bobrow, Cleo Condoravdi...