MaterialBERT for natural language processing of materials science texts
A BERT (Bidirectional Encoder Representations from Transformers) model, which we named “MaterialBERT”, has been generated using scientific papers in wide area of material science as a corpus. A new vocabulary list for tokenizer was generated using material science corpus. Two BERT models with differ...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis Group
2022-12-01
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| Серии: | Science and Technology of Advanced Materials: Methods |
| Предметы: | |
| Online-ссылка: | http://dx.doi.org/10.1080/27660400.2022.2124831 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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