Lexical chaining is a method for encapsulating the meaning of a document in so-called lexical chains. The presence and concentration of such chains can be used to judge similarities both within and between documents. We present a system that performs such chaining and, using a small corpus of news articles, compare its performance with that of a naive vector-space system. We then investigate th...

Book covers communicate information to potential readers, but can that same information be learned by computers? We propose using a deep Convolutional Neural Network (CNN) to predict the genre of a book based on the visual clues provided by its cover. The purpose of this research is to investigate whether relationships between books and their covers can be learned. However, determining the genr...

The current study investigated the perception of intrapersonal, interpersonal, and tool-based grasping possibilities. In Experiment 1, participants judged whether they would grasp planks of wood-presented in ascending, descending, and random orders of length-using one hand (1H), two hands (2H), or with a tool that extended their reach (TH). In Experiment 2, participants physically grasped the p...

“We received an overwhelming number of nominations,” said Anand Ekambaram, managing director of BMJ India.More than 500 individuals and teams throughout India have been put forward. “The BMJ India Awards are a very prestigious recognition, and it is an honour to be among the nominees,” said Sarman Singh, professor and head of the division of clinical microbiology and molecular medicine at the A...

The " attainment " indicator values in WHO's World Health Report 2000, whatever their conceptual merits, are spurious: only 39 percent are based on actual country-level observations of appropriate variables—only 18.5 percent, for indicators other than disability-adjusted life expectancy. 61 percent are imputations from regressions based on real data for a few countries. Furthermore, the " respo...

In this paper, we show that local features computed from the derivations of tree substitution grammars — such as the identify of particular fragments, and a count of large and small fragments — are useful in binary grammatical classification tasks. Such features outperform n-gram features and various model scores by a wide margin. Although they fall short of the performance of the hand-crafted ...