• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Quality Assessment Methods for Knowledge-Extraction Systems in Weak-Structured Domains

Student: Khorosheva Anastasia

Supervisor: Irina Efimenko

Faculty: Faculty of Humanities

Educational Programme: Computational Linguistics (Master)

Final Grade: 7

Year of Graduation: 2020

The research is focused on metrics for the successful knowledge extraction in ill-defined medical domain. We analysed the notion of “Quality of life” through the extracted knowledge from the source text data. The research question was “if there are any ways to improve evaluation done by Precision and Recall?” and the research material was a Real World Data collected from a thematic web-site. In this research various metrics for knowledge extraction are analysed in order to find a better metrics or to improve existing ones. In the end, this work has proved to find alternative ways to evaluate performance of a knowledge extraction system in ill-defined domains.

Full text (added June 4, 2020)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses