This article will explore the potential of tourism sector in districts Republic Buryatia, Irkutsk region and Tyva, RF at Russian-Mongolian border is based on a combination huge amount diverse natural resources. The area whole has rich water resources, including lakes, rivers, waterfalls mineral springs, with well-preserved mountainous landscapes, harmony centuries-old cultural ethnic heritage l...

Shadow mapping has been a popular way of generating shadows in real-time applications, but it is still incapable of generating realistic real time soft shadows for area light. There is an algorithm for generating soft shadows for linear light with few samples, but the algorithm is not suitable for area light. In this article, the author presents a modified method to the shadow mapping algorithm...

The work presented in this paper attempts to evaluate and quantify the use of discourse relations in the context of blog summarization and compare their use to more traditional and factual texts. Specifically, we measured the usefulness of 6 discourse relations namely comparison, contingency, illustration, attribution, topic-opinion, and attributive for the task of text summarization from blogs...

The puzzle addressed here is the appearance of the POSS sign, pictured at right above, in both attributive (1a) and predicative (2b) possessive constructions.2 Patterns in the morphosyntax and semantics of POSS possessives reveal that the underlying function of POSS across these constructions is that of a verbal predicate. The analysis of POSS as a verbal predicate is transparently supported by...

The generative capacity of language entails an ability to flexibly combine concepts with each other. Conceptual combination can occur either by using an attribute of one concept to describe another (attributive combination) or by forming some relation between two concepts to create a new one (relational combination). Prior research has addressed whether common or distinct processes support thes...

In recent years, distributional models (DMs) have shown great success in representing lexical semantics. In this work we show that the extent to which DMs represent semantic knowledge is highly dependent on the type of knowledge. We pose the task of predicting properties of concrete nouns in a supervised setting, and compare between learning taxonomic properties (e.g., animacy) and attributive ...