Jeux2bert
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Jeux2bert
Developed by Massinissa
Jeux2BERT is a model based on the Flaubert language model and enhanced by integrating the JeuxDeMots lexical semantic network. It can capture the distributed features and associative properties of words and distinguish different relational characteristics between words or phrases.
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Release Time : 6/2/2022
Model Overview
Jeux2BERT is an enhanced model combining a language model and a lexical semantic network, primarily used for analyzing relationships between words and phrases.
Model Features
Lexical Semantic Network Enhancement
Integrates the JeuxDeMots lexical semantic network to enhance the understanding of word relationships.
Multi-task Support
Supports various tasks such as link prediction, relation prediction, and triple ranking.
Relational Characteristic Differentiation
Can distinguish different relational characteristics between words or phrases.
Model Capabilities
Word Relationship Analysis
Triple Classification
Relation Inference
Triple Rating
Use Cases
Natural Language Processing
Semantic Relation Analysis
Analyze semantic relationships between words or phrases.
Can accurately distinguish different types of relational characteristics.
Knowledge Graph Construction
Used to construct or enhance entity relationships in knowledge graphs.
Provides richer semantic association information.
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