K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain
The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of domain-specific context, hamper the pre-trained langu...
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| Main Authors: | Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9866735/ |
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