E-texts afford interactive features that are not feasible with paper texts. Several studies have been conducted examining of E-texts, but it is uncertain what the overall effect or may be most useful. The purpose this study to systematically review and meta-analysis findings comparing reading performance and/or times between control texts (paper static E-texts). systematic search literature ide...

In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. We present a methodology to automatically convert legal texts into legal cases guided by domain expert knowledge in a rule-based system with Natural Language Processing (NLP) techniques. This methodology can be genera...

There is a common Mathematics Subject Classification (MSC) System used for categorizing mathematical papers and knowledge. We present results of machine learning of the MSC on full texts of papers in the mathematical digital libraries DML-CZ and NUMDAM. The F1-measure achieved on classification task of top-level MSC categories exceeds 89%. We describe and evaluate our methods for measuring the ...

This paper discusses an approach to planning the content of instructional texts. The research is based on a corpus study of 15 French procedural texts ranging from step-by-step device manuals to general artistic procedures. The approach taken starts from an AI task planner building a task representation, from which semantic carriers are selected. The most appropriate RST relations to communicat...

Here in this paper a new and efficient technique for the text detection from natural scenes is implemented. The proposed methodology is based on the concept of Otsu’s segmentation method which segments the higher intensity texts from the natural scenes. Although there are various text detection techniques implemented, but the proposed methodology implemented here for text detection provides hig...

This paper proposes a novel approach to generate abstractive summary for multiple documents by extracting semantic information from texts. The concept of Basic Semantic Unit (BSU) is defined to describe the semantics of an event or action. A semantic link network on BSUs is constructed to capture the semantic information of texts. Summary structure is planned with sentences generated based on t...

This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology and results of the first experiments. The developed system is based on several modern models and methods for analysing of object-attribute and uns...

This paper describes an approach to automatically align fragments of texts of two documents in different languages. A text fragment is a list of continuous sentences and an aligned pair of fragments consists of two fragments in two documents, which are content-wise related. Cross-lingual similarity between fragments of texts is estimated based on models of divergence from randomness. A set of a...

This paper describes the techniques used to translate structured texts of approximately 2000 words into logical assertions in the language and ontology of the Cyc knowledge-based system. The input texts conform to a controlled natural language which was specifically written to express US Army Courses Of Action. A second input to the interpretation task is a formal description of a sketch of the...