Named entity recognition is one of the current problems in the field of natural language
processing, especially for languages with limited resources, where the Uzbek language is …

The work aims to develop a methodology for data collection and mining algorithms for an
information system for assessing students' health. Within the framework of this scientific …

Named entity recognition is one of the important tasks in natural language processing. Its
practical application can be found in various areas such as speech recognition, information …

The article presents an original method of morphological analysis of the Karakalpak
language, based on the dictionary approach, focusing on its application in text correction …

This article presents an original approach to recognizing named entities in Karakalpak
language texts. The approach involves the author's algorithm, which uses dictionaries with …

In connection with the rapid development of Internet technologies, modern society in recent
decades has experienced an information explosion characterized by an exponential …

Internet of Things allows health care providers to break out of traditional clinical settings.
Home monitoring systems allow to monitor the health of patients when they are not in the …

In the semantico-syntactic analysis of great importance is understanding of its formal
structure. For this, in the text it is necessary to distinguish units of lexical meaning and …

This volume contains the proceedings of the 7th International Conference on Computational
Collective Intelligence (ICCCI 2015), held in Madrid, Spain, September 21–23, 2015. The …