Must-Read Papers or Resources on how to integrate symbolic logic into deep neural nets.
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From Machine Learning to Machine Reasoning Leon Bottou Arxiv 2011 [pdf]
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From Statistical Relational to Neuro-Symbolic Artificial Intelligence Luc De Raedt , Sebastijan Dumanˇci ́c , Robin Manhaeve and Giuseppe Marra Arxiv 2020 [pdf]
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Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective Luis C. Lamb et,al. Arxiv 2020 [pdf]
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Relational inductive biases, deep learning and graph networks Peter W. Battaglia et,al. Arxiv 2018 [pdf]
- Neuro-Symbolic Methods For Language And Vision AAAI 2022 [link]
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Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic Xufeng Zhao, Mengdi Li, Wenhao Lu, Cornelius Weber, Jae Hee Lee, Kun Chu, Stefan Wermter. COLING 2024 [pdf] [code]
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Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield,Kai-Wei Chang, Yizhou Sun, Peipei Ping and Wei Wang. AAAI 2021 [pdf] [code]
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Integrating Deep Learning with Logic Fusion for Information Extraction. Wenya Wang, Sinno Jialin Pan. AAAI 2020 [pdf] [code]
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Logic-guided Data Augmentation and Reguralization for Consistent Question Answering. Akari Asai, Hannaneh Hajishirzi. ACL 2020 [pdf] [code]
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Structured Tuning for Semantic Role Labeling. Tao Li, Parth Anand Jawale, Martha Palmer, Vivek Srikumar ACL 2020 [pdf] [code]
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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. Ruize Wang, Duyu Tang, et,al EMNLP 2020 [pdf]
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Joint Constrained Learning for Event-Event Relation Extraction Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth EMNLP 2020 [pdf]
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A Logic-Driven Framework for Consistency of Neural Models. Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar EMNLP-IJCNLP 2019 [pdf] [code]
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Adversarially regularising neural NLI models to integrate logical background knowledge. Pasquale Minervini, Sebastian Riedel. CoNLL 2018 [pdf] [code]
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Lifted Rule Injection for Relation Embeddings. Thomas Demeester, Tim Rocktäschel, Sebastian Riedel EMNLP 2016 [pdf]
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Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng, Xiaoyu Yang, Xiaodan Zhu, Michael Greenspan TACL 2022 [pdf]
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LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking Hang Jiang et,al ACL 2021 [pdf]
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Weakly Supervised Named Entity Tagging with Learnable Logical Rules. Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley, Zhe Feng ACL-IJCNLP 2021 [pdf] [code]
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Learning Language Representations with Logical Inductive Bias. Jianshu Chen ICLR 2023 pdf]
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Modeling Content and Context with Deep Relational Learning Maria Leonor Pacheco and Dan Goldwasser TACL 2021 [pdf] [code]
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Logical Neural Networks Ryan Riegel et,al (IBM Research) Arxiv 2020 [pdf]
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LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models, Mihir Parmar et,al ACL 2024 [pdf]
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Transformers Implement First-Order Logic with Majority Quantifiers William Merrill, Ashish Sabharwal Arxiv 2022 [pdf]
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What Can Neural Networks Reson About? Keyulu Xu, Jingling Li et,al ICLR 2020 [pdf] [code]
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Relational Reasoning and Generalization using Non-symbolic Neural Networks Arxiv 2020 [pdf]
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Complex Query Answering With Neural Link Predictors Erik Arakelyan, Daniel Daza, Pasquale Minervini & Michael Cochez ICLR 2021 [pdf] [code]
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Faithfully Explainable Recommendation via Neural Logic Reasoning Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang NAACL [pdf] [code]
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Correlating neural and symbolic representations of language. Grzegorz Chrupała, Afra Alishahi. ACL 2019 [pdf][code]
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Representing Meaning with a Combination of Logical and Distributional Models. I. Beltagy, Stephen Roller, Pengxiang Cheng, Katrin Erk, Raymond J. Mooney. Computational Linguistics 2016 [pdf] [code]