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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
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September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
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Modeling of Process Dynamics by Sequence of Homogenous Semantic Networks on the Base of Text Corpus Sequence Analysis

P. 300–314.
Kharlamov A. A., Yermolenko T., Zhonin A.

The paper describes an approach to modeling of process dynamics based on the technology of automatic semantic analysis of textual information. During processing of text an associative network is generated, the key concepts of which, including lexical markers of the analyzed process, are ranked by their semantic weight. Defined by the marker status on the “good-bad” scale, this weight provides the marker value for characterization of the process state. It is changes in the normalized characteristic of the process combined for all markers from time sample to time sample that characterize the process trend.

Language: English
Text on another site
Keywords: automatic text processingassociative (homogeneous semantic) networkmodeling of process dynamicslexical markers

In book

Speech and Computer 16-th International Conference, SPECOM 2014 LNAI 9773
NY: Springer, 2014.
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