nuric / deeplogic
DeepLogic: Towards End-to-End Differentiable Logical Reasoning
☆23Updated 4 years ago
Alternatives and similar repositories for deeplogic:
Users that are interested in deeplogic are comparing it to the libraries listed below
- Conditional Theorem Proving☆53Updated 4 years ago
- Neural Unification for Logic Reasoning over Language☆22Updated 3 years ago
- ☆58Updated 5 years ago
- [EMNLP 2020] PyTorch code of PRover: Proof Generation for Interpretable Reasoning over Rules☆19Updated last year
- End-to-End Differentiable Proving☆89Updated 6 years ago
- Tree Stack Memory Units☆17Updated 4 years ago
- Code for our NeurIPS 2019 paper "Quantum Embedding of Knowledge for Reasoning" (authors: Dinesh Garg, Shajith Ikbal, Santosh K Srivastava…☆25Updated 4 years ago
- Combining Symbolic and Function Evaluation Expressions In Neural Programs☆34Updated 5 years ago
- Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.☆44Updated 4 years ago
- A first cut into exploring the use of dependency links for building Text Graphs, that, among other things, with help of a centrality algo…☆31Updated last year
- ☆30Updated 6 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆15Updated 3 months ago
- Implementation of the first neural natural logic paper on natural language inference☆11Updated 2 years ago
- ☆38Updated 4 years ago
- Conversational Neuro-Symbolic Commonsense Reasoning☆25Updated 4 years ago
- Python implementation of unsupervised semantic parsing and markov logic network knowledgebase induction.☆12Updated 6 years ago
- RuDaS: Synthetic Datasets for Rule Learning☆19Updated 2 years ago
- Neural Logic Reasoning for Question Answering☆74Updated 3 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆93Updated last year
- Neural Logic Inductive Learning☆42Updated 2 years ago
- Code for generating Quasimodo, a commonsense knowledge base.☆20Updated 3 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆53Updated 2 years ago
- PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)☆71Updated 2 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆43Updated 5 years ago
- Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020☆18Updated 4 years ago
- A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search…☆14Updated 3 years ago
- EQUATE (Evaluating Quantitative Understanding Aptitude in Textual Entailment), framework for evaluating quantitative reasoning ability in…☆13Updated 3 years ago
- Tensor product decomposition network☆19Updated 4 years ago
- Holographic Reduced Representations☆25Updated 6 months ago