Improving language model predictions via prompts enriched with knowledge graphs
Despite advances in deep learning and knowledge graphs (KGs), using language models for natural language understanding and question answering remains a challenging task. Pre-trained language models (PLMs) have shown to be able to leverage contextual information, to complete cloze prompts, next sente...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
CEUR Workshop Proceedings
2023
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