This article is devoted to the study of issues secure messaging and file exchange by e-mail at enterprises agro-industrial complex. The purpose this work develop an algorithmic support software mail client that supports functionality end-to-end data encryption. following research methods are used in article: comparison method, observation structural analysis method. method identify differences ...

Neural networks are known to give better performance with increased depth due their ability learn more abstract features. Although the deepening of has been well established, there is still room for efficient feature extraction within a layer, which would reduce need mere parameter increment. The conventional widening by having filters in each layer introduces quadratic increment parameters. Ha...

Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story generators rely on a large repository of background knowledge containing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven a...

Much work in Information Integration and the Semantic Web assumes that rich semantic models of sources exist. In practice, there is a tremendous amount of data on the Web, but it is typically hard to find, has little or no explicit structure, and there is rarely any semantic description of the data. We describe an integrated end-to-end system that can automatically discover web sources, invoke ...

We describe a supervised approach to predicting the set of all inflected forms of a lexical item. Our system automatically acquires the orthographic transformation rules of morphological paradigms from labeled examples, and then learns the contexts in which those transformations apply using a discriminative sequence model. Because our approach is completely data-driven and the model is trained ...

The 2016 Clinical TempEval challenge addresses temporal information extraction from clinical notes. The challenge is composed of six sub-tasks, each of which is to identify: (1) event mention spans, (2) time expression spans, (3) event attributes, (4) time attributes, (5) events’ temporal relations to the document creation times (DocTimeRel), and (6) narrative container relations among events a...