Popular GitHub Repositories for Commonsense Reasoning

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs ?

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

[ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

A set of utilities for running few-shot prompting experiments on large-language models

Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)

[Paper][ISWC 2021] Zero-shot Visual Question Answering using Knowledge Graph

The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.

Experimental Python implementation of the Clarion cognitive architecture

Codes for the WWW2021 paper: DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge (https://arxiv.org/abs/2101.00154).

Codes for the EMNLP2021 paper: Benchmarking Commonsense Knowledge Base Population (https://aclanthology.org/2021.emnlp-main.705.pdf). An updated version CKBP v2 (https://arxiv.org/pdf/2304.10392.pdf)

? Source code for "ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation" (SemEval 2020).

[EMNLP 2023] Knowledge Rumination for Pre-trained Language Models

Knowledge-Augmented Language Models for Cause-Effect Relation Classification https://arxiv.org/abs/2112.08615

This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"

A collection of research papers related to Natural Language Reasoning

This is the repository for the resources in CoNLL 2020 Paper "What Are You Trying Todo? Semantic Typing of Event Processes"

Commonsense Knowledge Base Reasoning

Exploring common-sense reasoning capabilities of text-to-image models through pronoun disambiguation