ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then, it has steadily made progress towards the holy grail of automated fact-checking. Above is a system diagram that depicts our current framework with the claim-spotting component high-lighted in the light-blue outlined box.

The Social Sensing introduces innovative methods for analyzing and leveraging social media data to understand user behavior and support complex sensing tasks. It includes studies on user interactions with factual claims on Twitter and the development of the platform Wildfire, enabling non-experts to conduct advanced social sensing and analytics. Learn more

We introduce advancements in frame-semantic parsing, improving target and frame identification with novel methods, achieving state-of-the-art results. Our approach excels in handling rare and under-utilized frames, enhancing accuracy and robustness. Learn more

The Soil Organic Carbon Knowledge Graph (SOCKG) integrates siloed and diverse datasets into a cohesive knowledge graph to enhance robust soil carbon modeling, enabling accurate measurement and prediction of soil organic carbon (SOC) changes linked to agricultural practices. By providing high-quality, sustainable data infrastructure, SOCKG plays a transformative role in enabling and accelerating the growth of voluntary carbon markets. Learn more

Knowledge Graphs (KGs) represent semantic information using triples. Knowledge Graph Completion (KGC) involves predicting missing relationships in KGs and enhancing their completeness. KG Link Prediction predicts missing elements in triples, and KG embedding models use machine learning to represent entities and relationships as continuous vectors. Access to large-scale KGs is vital for robust model development. Our papers focus on challenges posed by Freebase's data modeling features and introduce variants of the dataset, addressing gaps in understanding and offering the first publicly available full-scale Freebase dataset for KG link prediction evaluation. Learn more