Summary of topics offered - Department of Informatics (FBE)

Basic information

Type of work:
Dissertation thesis
Open Information Extraction for less researched languages
State of topic:
approved (prof. Ing. Cyril Klimeš, CSc. - head of department)
Thesis supervisor:
Faculty of Business and Economics
Supervising department:
Department of Informatics - FBE
Max. no. of students:
Proposed by: doc. Ing. František Dařena, Ph.D.
Summary: Open Information Extraction (OpenIE) is the process of finding relations and their arguments in a text written in a natural language. This is a task that is important, for example, in the process of creating a knowledge base or a question answering system. OpenIE tools are available mainly for English and several other languages. For many languages, including Czech, the availability is very limited. The dissertation will focus on the area of OpenIE for less researched languages (e.g., Czech) using the latest advances in natural language processing (e.g., neural approaches). The work will include the appropriate definition of relations, the method of their identification, evaluation on a suitable data set, or the possible applications.

Limitations of the topic

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Restrictions by study
The table shows restrictions by study to which the student has to be enrolled in order to sign up for the given topic.

Field of study
D-SIA System Engineering and Informatics
D-SIA-EIA Economic Informatics