Overview of Knowledge Reasoning for Knowledge Graph
X Liu, T Mao, Y Shi, Y Ren - Neurocomputing, 2024 - Elsevier
Abstract Knowledge graphs are large-scale semantic networks that considerably impact
knowledge representation. Mining hidden knowledge from existing data, including triplet …
knowledge representation. Mining hidden knowledge from existing data, including triplet …
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI
The factual inaccuracies (" hallucinations") of large language models have recently inspired
more research on knowledge-enhanced language modeling approaches. These are often …
more research on knowledge-enhanced language modeling approaches. These are often …
Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms
JK Lee, J Kim - arXiv preprint arXiv:2406.07229, 2024 - arxiv.org
Understanding commonsense knowledge is crucial in the field of Natural Language
Processing (NLP). However, the presence of demographic terms in commonsense …
Processing (NLP). However, the presence of demographic terms in commonsense …