Code for the article "Commonsense Reasoning: how do Neuro-only and hybrid Neuro-Symbolic approaches compare?", to be presented at KINN2021
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Updated
Feb 22, 2022 - Python
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
Code for the ACL2023 paper: CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning (https://aclanthology.org/2023.acl-long.733.pdf).
This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"
Code and data realease for "Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge"
BARD (BYU Analogical Reasoning Dataset) - a set of analogical reasoning tasks of the form A:B::C:D
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"
Dialogue Commonsense Graph in Japanese
A Python NLP Knowledge Inference Tool
Supplementary materials for the paper "Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution" (Emelin et al., 2021)
Text Classification and Generation on common sense data for ComVE: Task 4 Semeval 2020
A simple LSTM and dot product based attention-based model for generating commonsense explanations. Trained on COS-E based on CommonsenseQA.
Commonsense axioms as elementary composable ideas (ECIs)
Code for the article "Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning", Outstanding Paper at EMNLP2021
Some of translation from one language to another, could not get successful result due to the lack of broad stores of Commonsense Knowledge.
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