As the language generation community explores the possibility of an evaluation program for language generation, it behooves us to examine our experience in evaluation of other systems that produce text as output. Large scale evaluation of summarization systems and of question answering systems has been carried out for several years now. Summarization and question answering systems produce text ...

Fine grain products are harvested in two manual and mechanized forms. Nowadays, common combine harvesters are used, but fine grain products such as Rapeseed, Sesame and Sorghum cannot be harvested with conventional heads of combine harvesters due to the excessive grain loss in the head of the combine. Therefore, the necessity of design and fabricating machines and heads of combine harvesters be...

1 Background to the system This paper describes a low complexity method of calculating the estimate of fine frequency offset and fine sample clock offset in an OFDM receiver. Fine frequency offsets of less than one subcarrier spacing, and fine sample clock offsets cause loss of orthogonality in an OFDM receiver, leading to loss of noise margin. The described technique uses a short DFT to estima...

We introduce a coinductively-defined refinement relation on sequential non-deterministic reactive systems that guarantees total correctness. It allows the more refined system to both have less non-determinism in its outputs and to accept more inputs than the less refined system. Data reification in VDM is a special case of this refinement. Systems are considered at what we have called fine and ...

Fine grain products are harvested in two manual and mechanized forms. Nowadays, common combine harvesters are used, but fine grain products such as Rapeseed, Sesame and Sorghum cannot be harvested with conventional heads of combine harvesters due to the excessive grain loss in the head of the combine. Therefore, the necessity of design and fabricating machines and heads of combine harvesters be...

5 The Markov Chain Monte Carlo (MCMC) is a rigorous sampling method to quan6 tify uncertainty in subsurface characterization. However, the MCMC usually requires 7 many flow and transport simulations in evaluating the posterior distribution and can be 8 computationally expensive for fine-scale geological models. We propose a methodology 9 that combines coarseand fine-scale information to improve...

During waning flood flows in gravel-bed streams, finegrained bedload sediment (sand and fine gravel) is commonly winnowed from zones of high shear stress, such as riffles, and deposited in pools, where it mantles an underlying coarse layer. As sediment load increases, more fine sediment becomes available to fill pools. The volume of fine sediment in pools can be measured by probing with a metal...