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We study the problem of learning probabilistic first-order logical rules for knowledge base reasoning. This learning problem is difficult because it requires learning the parameters in a continuous space as well as the structure in a discrete space. We propose a framework, Neural Logic Programming, that combines the parameter and structure learning of first-order logical rules in an end-to-end differentiable model. This approach is inspired by a recently-developed differentiable logic called TensorLog [5], where inference tasks can be compiled into sequences of differentiable operations. We design a neural controller system that learns to compose these operations. Empirically, our method outperforms prior work on multiple knowledge base benchmark datasets, including Freebase and WikiMovies.
Author Information
Fan Yang (Carnegie Mellon University)
Zhilin Yang (Carnegie Mellon University)
William Cohen (Google AI)
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2019 Poster: Game Design for Eliciting Distinguishable Behavior »
Fan Yang · Liu Leqi · Yifan Wu · Zachary Lipton · Pradeep Ravikumar · Tom M Mitchell · William Cohen -
2018 Poster: Semi-Supervised Learning with Declaratively Specified Entropy Constraints »
Haitian Sun · William Cohen · Lidong Bing -
2018 Poster: GLoMo: Unsupervised Learning of Transferable Relational Graphs »
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2017 : POSTER: Learning to organize knowledge with N-gram machines »
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2017 : Differentiable Learning of Logical Rules for Knowledge Base Reasoning »
William Cohen · Fan Yang -
2017 : Poster Session - Session 2 »
Ambrish Rawat · Armand Joulin · Peter A Jansen · Jay Yoon Lee · Muhao Chen · Frank F. Xu · Patrick Verga · Brendan Juba · Anca Dumitrache · Sharmistha Jat · Robert Logan · Dhanya Sridhar · Fan Yang · Rajarshi Das · Pouya Pezeshkpour · Nicholas Monath -
2017 Poster: Good Semi-supervised Learning That Requires a Bad GAN »
Zihang Dai · Zhilin Yang · Fan Yang · William Cohen · Ruslan Salakhutdinov -
2016 Poster: Review Networks for Caption Generation »
Zhilin Yang · Ye Yuan · Yuexin Wu · William Cohen · Russ Salakhutdinov -
2014 Workshop: 4th Workshop on Automated Knowledge Base Construction (AKBC) »
Sameer Singh · Fabian M Suchanek · Sebastian Riedel · Partha Pratim Talukdar · Kevin Murphy · Christopher RĂ© · William Cohen · Tom Mitchell · Andrew McCallum · Jason E Weston · Ramanathan Guha · Boyan Onyshkevych · Hoifung Poon · Oren Etzioni · Ari Kobren · Arvind Neelakantan · Peter Clark -
2010 Poster: Efficient Relational Learning with Hidden Variable Detection »
Ni Lao · Jun Zhu · Liu Xinwang · Yandong Liu · William Cohen