Publisher DOI: | 10.3390/e23111422 |
Title: | Language representation models : an overview |
Language: | English |
Authors: | Schomacker, Thorben Tropmann-Frick, Marina ![]() |
Keywords: | Attention-based models; Deep learning; Embeddings; Multi-task learning; Natural language processing; Neural networks; Transformer |
Issue Date: | 28-Oct-2021 |
Publisher: | MDPI |
Source: | article number : 1422 |
Journal or Series Name: | Entropy |
Volume: | 23 |
Issue: | 11 |
Abstract: | In the last few decades, text mining has been used to extract knowledge from free texts. Applying neural networks and deep learning to natural language processing (NLP) tasks has led to many accomplishments for real-world language problems over the years. The developments of the last five years have resulted in techniques that have allowed for the practical application of transfer learning in NLP.... |
URI: | http://hdl.handle.net/20.500.12738/12332 |
ISSN: | 1099-4300 |
Institute: | Department Informatik Fakultät Technik und Informatik |
Type: | Article |
Appears in Collections: | Publications without full text |
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