Efficient natural language classification algorithm for detecting duplicate unsupervised features
This paper focuses on capturing the meaning of Natural Language Understanding (NLU) text features to detect the duplicate unsupervised features. The NLU features are compared with lexical approaches to prove the suitable classification technique. The transfer-learning approach is utilized to train t...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2021-06-01
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Series: | Информатика и автоматизация |
Subjects: | |
Online Access: | http://ia.spcras.ru/index.php/sp/article/view/13265 |