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Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We beli...
Abstract: The attack surface of a system represents the exposure of application objects to attackers and is affected primarily by architecture and design decisions. Given otherwise...
Translation systems are generally trained to optimize BLEU, but many alternative metrics are available. We explore how optimizing toward various automatic evaluation metrics (BLEU...
Daniel Cer, Christopher D. Manning, Daniel Jurafsk...
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
In this paper, we present a new low-complexity no-reference metric that assesses the visibility of blocking artifacts in DCT-coded images. The metric works in the spatial domain a...
Abstract. We consider the randomized k-server problem, and give improved results for various metric spaces. In particular, we extend a recent result of Cot
We present PEM, the first fully automatic metric to evaluate the quality of paraphrases, and consequently, that of paraphrase generation systems. Our metric is based on three crit...
—We present the derivation of a novel metric for the performance prediction of Wireless Sensor Networks (WSNs). In particular, the metric can be applied in, for example, monitori...
Abstract—Comparing graphs to determine the level of underlying structural similarity between them is a widely encountered problem in computer science. It is particularly relevant...
Damien Fay, Hamed Haddadi, Andrew Thomason, Andrew...
—Phylogenetic networks are leaf-labeled, rooted, acyclic, directed graphs, that are used to model reticulate evolutionary histories. Several measures for quantifying the topologi...