PhysBERT: A text embedding model for physics scientific literature
The specialized language and complex concepts in physics pose significant challenges for information extraction through Natural Language Processing (NLP). Central to effective NLP applications is the text embedding model, which converts text into dense vector representations for efficient informatio...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
AIP Publishing LLC
2024-12-01
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| Серии: | APL Machine Learning |
| Online-ссылка: | http://dx.doi.org/10.1063/5.0238090 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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