Projects
Disclaimer
For some of our poster exhibitions, please visit the Showcase page.
Machine Learning Kit
Description: This module provides a Python script for connecting to Discord using Webhooks.
Corresponding Members: Chavakan (Intern @ Oct-2023 Batch), Teeradaj Racharak (PI)
Online Projects
Description: This is our prototype on mining the debate dataset. It shows how to mine complex relationships of the debate by exploiting machine learning technologies with formal argumentation.
Corresponding Members: Nitit (Intern @ Oct-2023 Batch), Teeradaj Racharak (PI)
Related Links: Showcase Page
Description: This prototype demonstrates a monitoring system of garbage in any knowledge base completion pipeline.
Corresponding Members: Chavakan (Intern @ Oct-2023 Batch), Teeradaj Racharak (PI)
Related Links: Showcase Page
Description: This prototype showcases an explainer for a description logic-based similarity measure
Corresponding Members: Runchana (Intern @ Oct-2023 Batch), Teeradaj Racharak (PI)
Related Links: Showcase Page
Codes for Published Research
Description: This repository contains the code and resources used for our research on uncovering and mitigating gender bias in commonsense knowledge graph embeddings.
Corresponding Members: Khine Myat Thwe (Minor Research Student), Teeradaj Racharak (PI)
Corresponding Papers: (K. M. Thwe et al. @ KSE 2023)
Description: This project exposes JAVA-based APIs to measure a similarity of OWL-based class expression based on the logic-based semantics of the Description Logic ELH
Corresponding Member: Teeradaj Racharak (PI)
Corresponding Papers: (T. Racharak @ IEEE Access 2021), (T. Racharak et al. @ CAI 2018)
Reproduction of Github Projects (for Study Purpose)
Description: We provide a re-implementation of the original OWL2Vec* proposed here.
Corresponding Members: Chavakan (Intern @ Oct-2023 Batch), Teeradaj Racharak (PI)