Syntax Vector Learning Using Correspondence for Natural Language Understanding
Natural language understanding (NLU) is a core technique for implementing natural user interfaces. In this study, we propose a neural network architecture to learn syntax vector representation by employing the correspondence between texts and syntactic structures. For representing the syntactic stru...
| Автори: | , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
IEEE
2021-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/9448015/ |