N. A. Astrakhantsev

D. G. Fedorenko2
V. D. Mayorov1
S. D. Kuznetsov1
2D. G. Fedorenko
1V. D. Mayorov
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A framework for fast text analysis, which is developed as a part of the Texterra project, is described. Texterra provides a scalable solution for the fast text processing on the basis of novel methods that exploit knowledge extracted from the Web and text documents. For the developed tools, details of the project, use cases, and evaluation results are(More)
The conceptualization of knowledge required for an efficient processing of textual data is usually represented as ontologies. Depending on the knowledge domain and tasks, different types of ontologies are constructed: formal ontologies, which involve axioms and detailed relations between concepts; taxonomies, which are hierarchically organized concepts; and(More)
Applications related to domain specific text processing often use glossaries and ontologies, and the main step of such resource construction is term recognition. This paper presents a survey of existing definitions of the term and its linguistic features, formulates the task definition for term recognition, and analyzes presently-available methods for(More)
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