Dataset and codes from the paper "AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA"
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Updated
Apr 9, 2024 - Python
Dataset and codes from the paper "AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA"
Dataset from the paper "Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data"
Code for the paper "Learning Prototypical Functions for Physical Artifacts"
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"
Bachelor's Thesis: "Be Constructive, Helpful and Empathetic: Towards Situated Empathic Dialogue Generation Grounded in Social and Moral Commonsense Knowledge"
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
The official repository for the IJCNLP-AACL 2023 paper: Implicit Affordance Acquisition via Causal Action–Effect Modeling in the Video Domain
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 …
Source repository for Editing Common Sense in Transformers (EMNLP 2023)
Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.
The code for "Sarcasm Detection with Commonsense Knowledge"
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 …
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
Code for "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories", ACL 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.
Refined Commonsense Knowledge from Large-Scale Web Contents (TKDE 2022)
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.
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"
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