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Methods of Terminological Information Extraction Based on Machine Learning

Student: Furin Nikita

Supervisor: Elena I. Bolshakova

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 7

Year of Graduation: 2018

Definition extraction is an essential part of terminological information extraction problem. Recently, recurrent neural networks prove excellent performance in this problem. In this paper, several methods for definition extraction problem will be examined. Another purpose of this research is to develop a practical approach to determine whether a sentence has a definition or not. We have built the model based on recurrent neural networks, which outperforms the previous models by 5% in F1-score

Full text (added May 22, 2018)

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