Dataset from the paper "Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data"
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Updated
Apr 15, 2024
Dataset from the paper "Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data"
Dataset and codes from the paper "AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA"
ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.
Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
COMET-ATOMIC ja
This repository explores enhancing dialogue summarization with commonsense knowledge through the SICK framework, evaluating models on dialogue datasets to assess commonsense's impact on summarization quality.
Supplementary material for the paper "Commonsense Knowledge in Cognitive Robotics: A Systematic Literature Review"
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 repository for Editing Common Sense in Transformers (EMNLP 2023)
The official repository for the IJCNLP-AACL 2023 paper: Implicit Affordance Acquisition via Causal Action–Effect Modeling in the Video Domain
CSKG: The CommonSense Knowledge Graph
The official repository for creating casual action effect (CAE) dataset for the IJCNLP-AACL 2023 paper: Implicit Affordance Acquisition via Causal Action–Effect Modeling in the Video Domain
Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
Advanced Semantics for Commonsense Knowledge Extraction (WWW 2021)
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.
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 and data for the paper Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)
The code for the paper "Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge"
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