В данной статье предлагается взгляд на многозначность художественного текста через понятие бистабильности. Рассматриваются критерии бистабильности, а также структуры, которых она реализуется. Сформулированная концепция демонстрируется нескольких литературных примерах. This article offers a look at the polysemy of literary text through concept bistability. Criteria for bistability are considered...

Information explosion has led to diminishing awareness: disciplines are becoming increasingly specialized; individuals and groups are becoming ever more insular. This paper considers how awareness can be enhanced via text-based knowledge discovery. Knowledge representation is motivated from a socio-cognitive perspective. Concepts are represented as vectors in a high dimensional semantic space a...

We introduce a new method of feature selection for text categorization. Our MMR-based feature selection method strives to reduce redundancy between features while maintaining information gain in selecting appropriate features for text categorization. Empirical results show that MMR-based feature selection is more effective than Koller & Sahami’s method, which is one of greedy feature selection ...

We study the performance of Arabic text classification combining various techniques: (a) tfidf vs. dependency syntax, for feature selection and weighting; (b) class association rules vs. support vector machines, for classification. The Arabic text is used in two forms: rootified and lightly stemmed. The results we obtain show that lightly stemmed text leads to better performance than rootified ...

Autism Awareness Month, Healthy Vision Month, Mental Health Month, National Aphasia Awareness Month, National Traumatic Brain Injury Awareness Month, and World Alzheimer’s Month. This Feature showcases Internet-based resources to help neuroscientists explain their work to the general public and K–12 audiences. These Internet resources feature videos, images, animations, and other outreach tools...

This paper presents and evaluates new methods for extracting perceptual knowledge from collections of annotated images. The proposed methods include automatic techniques for constructing perceptual concepts by clustering the images based on visual and text feature descriptors, and for discovering perceptual relationships among the concepts based on descriptor similarity and statistics between t...

In order to discriminate situation awareness (SA) levels on the basis of SA-sensitive electroencephalography (EEG) features, high-SA (HSA) group and low-SA (LSA) groups, which are representative two SA levels, were classified according global assessment technology (SAGAT) scores measured in multi-attribute task battery (MATB) II tasks. Furthermore, three types EEG namely, absolute power, relati...

This short paper is describing a demonstrator that is complementing the paper “Towards Cross-Media Feature Extraction” in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual dat...