Neuro-Symbolic = Neural + Logical + Probabilistic

By Luc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig. 2019

50 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yufei Feng
2. QUAN LIU
3. Xiao-Dan Zhu
4. Zi'ou Zheng
5. Michael A. Greenspan
6. Qian Chen
7. Saif M. Mohammad
8. Zhenhua Ling

Citations in the corpus

• Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems (2021, unknown): “While neuro-symbolic systems have received attention in some quarters (Garcez et al. 2019; De Raedt et al. 2019), the jury is still out on whether or not AI systems need internal symbolic reasoning to reach human-level intelligence.”
• Exploring End-to-End Differentiable Natural Logic Modeling (2020, methodology): “…of bringing together the complementary strengths of neural networks and symbolic models, e.g., the research performed in (Garcez et al., 2015; Yang et al., 2017; Rockt¨aschel and Riedel, 2017; Evans and Grefenstette, 2018; Weber et al., 2019; De Raedt et al., 2019; Mao et al., 2019), among others.”