Neuro-symbolic Commonsense Social Reasoning
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Abstract (arXiv)
Social norms underlie all human social interactions, yet formalizing and reasoning with them remains a major challenge for AI systems. We present a novel system for taking social rules of thumb (ROTs) in natural language from the Social Chemistry 101 dataset and converting them to first-order logic where reasoning is performed using a neuro-symbolic theorem prover. We accomplish this in several steps. First, ROTs are converted into Abstract Meaning Representation (AMR), which is a graphical representation of the concepts in a sentence, and align the AMR with RoBERTa embeddings. We then generate alternate simplified versions of the AMR via a novel algorithm, recombining and merging embeddings for added robustness against different wordings of text, and incorrect AMR parses. The AMR is then converted into first-order logic, and is queried with a neuro-symbolic theorem prover. The goal of this paper is to develop and evaluate a neuro-symbolic method which performs explicit reasoning about social situations in a logical form.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 17 of its 31 references that are in the map. First posted on arXiv 14 Mar 2023.
Builds on
17 of 31 references.
References · 17
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5 more
- 2020Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequencescited by 135
- 2020Leveraging Abstract Meaning Representation for Knowledge Base Question Answeringcited by 53
- 2021Maximum Bayes Smatch Ensemble Distillation for AMR Parsingcited by 29
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- 2020Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanationscited by 11
Built on by
Citing papers per year: 2024: 2; 2025: 1; 2026: 2.
5 papers.
- 2025Neuro-Symbolic AI in 2024: A Systematic Reviewcited by 38
- 2024Identification of Entailment and Contradiction Relations for Natural Language Argumentation: A Neurosymbolic Approachcited by 2
- 2024Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentationcited by 2
- 2026Making Implicit Premises Explicit in Logical Understanding of Enthymemescited by 2
- 2026Identifying Implicit Premises for Logical Reconstruction of Argument Graphscited by 0
- 2026Identifying Implicit Premises for Logical Reconstruction of Argument Graphs19 Aug 2026
- 2026Making Implicit Premises Explicit in Logical Understanding of Enthymemes6 Mar 2026
- 2025Neuro-Symbolic AI in 2024: A Systematic Review9 Jan 2025
- 2024Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation16 Aug 2024
- 2024Identification of Entailment and Contradiction Relations for Natural Language Argumentation: A Neurosymbolic Approach2 May 2024