Papers by Breno William Carvalho
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules (2022.emnlp-main)
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Prithviraj Sen, Breno William Carvalho, Ibrahim Abdelaziz, Pavan Kapanipathi, Salim Roukos, Alexander Gray
| Challenge: | Knowledge base completion (KBC) is a human-interpretable dialect . rule-based KBC has a high quality but low accuracy . |
| Approach: | They propose to use logical neural networks to learn both kinds of rules in a common framework using gradient-based optimization. |
| Outcome: | The proposed method improves by 10% relative to SotA rule-based methods and by combining it with knowledge graph embeddings it achieves an additional 7.5% relative improvement. |