Code for the article "Commonsense Reasoning: how do Neuro-only and hybrid Neuro-Symbolic approaches compare?", to be presented at KINN2021

The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA.

UW CSE517a final project: LAnguage Model Analysis

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

Code for the ACL2023 paper: CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning (https://aclanthology.org/2023.acl-long.733.pdf).

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

Source repository for Editing Common Sense in Transformers (EMNLP 2023)

Code, data, and pre-trained models for our EMNLP 2021 paper "Think about it! Improving defeasible reasoning by first modeling the question scenario"

Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)

A simple LSTM and dot product based attention-based model for generating commonsense explanations. Trained on COS-E based on CommonsenseQA.

Color Recommendation System for businesses fueled by s(CASP)

Anti-faCtual COmmonsense Reasoning Disentanglement

FWT 2018 Project: Natural Language Processing for Language Teaching Game

Code for SCOPE (Style transfer through COmmonsense PropErty) , a style transfer approach to convert literal sentences to similes

Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model

ASP inference engine designed for automatic IoT context knowledge generation.

Narrative Modeling with Memory Chains and Semantic Supervision, published at ACL 2018

exploring the defeasibility inside causality

Code and dataset release for "PACS: A Dataset for Physical Audiovisual CommonSense Reasoning" (ECCV 2022)

Code and data for the paper Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization