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Scincl Wol
Scientific literature embedding model trained without SciDocs leakage data
Downloads 127
Release Time : 3/7/2022
Model Overview
SciNCL is an embedding model specifically designed for scientific literature, enhancing performance by avoiding data leakage issues from the SciDocs dataset.
Model Features
Leakage-Free Training
Ensures fair model evaluation by avoiding the use of leaked data from the SciDocs dataset
Scientific Literature Optimization
Specifically optimized for scientific literature content to capture complex relationships between scientific concepts
Model Capabilities
Scientific literature embedding
Semantic similarity calculation
Scientific concept retrieval
Use Cases
Academic Research
Related Literature Retrieval
Search for relevant research papers based on scientific concepts
More accurately identifies relationships between scientific concepts compared to general embedding models
Literature Recommendation System
Recommend the latest research in relevant fields to researchers
Knowledge Management
Scientific Knowledge Graph Construction
Automatically build networks of associations between scientific concepts
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