ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

CSKG: The CommonSense Knowledge Graph

CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.

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

Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)

Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense

COMET-ATOMIC ja

The code for the paper "Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge"

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)

Advanced Semantics for Commonsense Knowledge Extraction (WWW 2021)

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

The code for "Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Commonsense Knowledge" plus the code of models in "A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversations"

Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.

NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment

Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)

CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.

Code for "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories", ACL 2021

Code for equipping pretrained language models (BART, GPT-2, XLNet) with commonsense knowledge for generating implicit knowledge statements between two sentences, by (i) finetuning the models on corpora enriched with implicit information; and by (ii) constraining models with key concepts and commonsense knowledge paths connecting them.

This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …

Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.