Subject: NER, Entity Recognition, FLAIR, NLP, Machine Learning
Year: 2021
Type: Article
Title: Named Entity Recognition For Macedonian Language
Author: Gramatikov, Sasho
Author: Mirchev, Miroslav
Author: Mishkovski, Igor
Author: Ivan Krstev
Author: Fisnik Doko
Abstract: Named Entity Recognition (NER), an outstanding technique for information extraction from unstructured texts, is lately becoming the central problem in the field of Natural Language Processing (NLP). In the last few years, multiple Python libraries, like SpaCy, NLTK and FLAIR, accomplished state-of-the-art performances for this problem. As NER is developing into a powerful technique, its real-live applications are becoming more and more numerous: from customer-message categorization to ease of document analysis in greater corporations. In this research, we use a ML-based system with the help of the FLAIR library in Python, which has already provided optimal results for NER in few world-class languages (English, German, Russian, French etc.), for financial entity recognition in financial texts written in Macedonian language. For the NER task on 13 distinct labels using our dataset in Macedonian language on the proposed ML model we have obtained F1-score of around 0.75.
Publisher: CIIT 2021
Relation: Разбирање на природни јазици во информации од вести преку користење на Трансформер архитектурата и каузални декодери
Identifier: oai:repository.ukim.mk:20.500.12188/14684
Identifier: http://hdl.handle.net/20.500.12188/14684
