System for Medical Concept Extraction and Linking
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Updated
Aug 12, 2024 - Python
System for Medical Concept Extraction and Linking
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.
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
[ECCV 2024 Oral] ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Explainability of Deep Learning Models
Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.
CME: Concept-based 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.
Simple spaCy-based concept extraction API, involving a dictionary of relevant concepts.
Combining Energy-Based Modeling and RL to solve the challenging Abstract Reasoning Corpus[1] tasks.
create concept map from textbook data
Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks
REST-API for LearningMiner.
Web Of Things Ontology Inspection
A toolkit to do concept expansion via search engine snippet
Clinical text-mining/machine learning project I did as part of my masters thesis at LIG.
The proposed system provides high-quality augmentations for educational texts like concept definitions, applications, equations, and examples for improved user understanding.
Concept extraction from MIMIC3 notes
Severity-focused biomedical concept normalization in Python
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