System for Medical Concept Extraction and Linking

[ECCV 2024 Oral] ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction

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 for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

Flexible and powerful platform for biomedical information extraction from text

Explainability of Deep Learning Models

Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.

Tools for Formal Concept Analysis

No description provided.

MEME: Generating RNN Model Explanations via Model Extraction

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.

CME: Concept-based Model Extraction

Combining Energy-Based Modeling and RL to solve the challenging Abstract Reasoning Corpus[1] tasks.

create concept map from textbook data

Simple spaCy-based concept extraction API, involving a dictionary of relevant concepts.

Software created within Accumulate project (www.accumulate.be) at CLiPS, University of Antwerp

Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks

ConExion

Python code for construction and analysis of semantic networks from text.

A toolkit to do concept expansion via search engine snippet

Web Of Things Ontology Inspection

Clinical text-mining/machine learning project I did as part of my masters thesis at LIG.

REST-API for LearningMiner.

The AI Examiner System you've described is clearly centered on leveraging the reasoning and structured output capabilities of Large Language Models (LLMs) for a robust academic assessment tool.

The replication package of STRICT: Search Term Identification for Concept Location using Graph-Based Term Weighting

Concept Extraction from medical discharge summaries

The proposed system provides high-quality augmentations for educational texts like concept definitions, applications, equations, and examples for improved user understanding.

Concept Explorer is an educational web app designed to make exploring concepts as exciting as exploring the physical world. It uses AI-powered data generated by the Concept Generator project to provide engaging and interactive concept exploration.

Concept extraction from MIMIC3 notes