A knowledge base construction engine for richly formatted data
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Updated
Jun 23, 2021 - Python
A knowledge base construction engine for richly formatted data
Code for KB construction from LLMs - ACL 2025 paper: "Enabling LLM Knowledge Analysis via Extensive Materialization""
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
Linked Data Knowledge Base Population (KBP) framework built on top of Snorkel. The default configuration uses Wikipedia as text corpus and DBpedia as target.
AI-powered Healthcare Assistant Chatbot built with Azure Cognitive Services Language Studio Custom Question Answering (Custom QA). Features 8-domain knowledge base, 101 Q&A pairs, multi-turn follow-up prompts, chit-chat integration, Azure Bot Service deployment, and live Web Chat widget hosted on Netlify.
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