Infopaket

Sematic Networks and Automatic Text Processing

ДВС.1.02.03

Вибіркова дисципліна для ОП

First

2021/2022

6 Semester

2

PLO 2. To work with information effectively: to select necessary information from different sources, in particular from professional literature and electronic bases; to analyze and interpret it critically; to arrange it and make proper classification and systematization. PLO 17. To collect, analyze, systematize (to create system-oriented and text-oriented linguistic database) and interpret language facts and speech, and to use them for solving complicated tasks and problems of automatic linguistic analysis in specialized spheres of professional and/or learning activity. PLO: 25, 31.

Full-time form

Be able to apply information technologies and programming languages ​​to solve applied problems and conduct scientific research. Have basic skills in algorithm design and analysis, and Python programming.

The goal of the discipline "Semantic networks and automatic text processing" is to acquire the necessary knowledge of modern information and intellectual technologies and the skills of their practical application for research and programming of the processes of solving complex problems of processing natural language texts. As a result of studying the educational discipline, the student must: know the main models, methods, and algorithms used to build semantic knowledge bases and automatically process texts; be able to develop systems for the automatic processing of natural language texts based on semantic knowledge bases.

1. Sergei Nirenburg, Victor Raskin, Ontological Semantics MIT Press, Cambridge, MA, 2004. 2. Minsky, M. (1975). A framework for representing knowledge. In P. H. Winston (Ed.), The psychology of computer vision. New York: McGraw-Hill Book. 3. "Minsky's frame system theory". Proceedings of the 1975 workshop on Theoretical issues in natural language processing – TINLAP '75. 1975. pp. 104–116. 4. Wille, Rudolf. "Formal Concept Analysis as Mathematical Theory of Concepts and Concept Hierarchies". Ganter, Stumme & Wille 2005. 5. Wille, Rudolf (1982). "Restructuring lattice theory: An approach based on hierarchies of concepts". In Rival, Ivan (ed.). Ordered Sets. Proceedings of the NATO Advanced Study Institute held at Banff, Canada, August 28 to September 12, 1981. Nato Science Series C. Vol. 83. Springer. pp. 445–470.

Lectures, seminars, and laboratory classes, independent work.

Semester evaluation: 1. Control work (test) 1: 11 points/6.6 points. 2. Control work (test) 2: 10 points/6 points. 3. Laboratory work 1 (project): 13 points/7.8 points. 4. Laboratory work 2 (project): 13 points/7.8 points. 5. Laboratory work 3 (project): 13 points/7.8 points. - Final control: - the maximum number of points that can be obtained by a student: 40 points; - form of implementation and types of tasks: written. Types of tasks: 8 tests and 6 written tasks. The credit is given based on the results of the student's work throughout the entire semester and does not include additional assessment measures. Students who scored the minimum positive number of points (60) get "Passed. Students who did not score the minimum positive number of points (60) get "Failed".

Ukrainіаn, English