Book Chapter

·2024

Model Agnostic Knowledge Transfer Methods for Sentence Embedding Models

Kadir Gunel YTU , Mehmet Fatih Amasyalı YTU

EAI/Springer Innovations in Communication and Computing

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Perplexity Embedding Computer science Sentence Representation (politics) Artificial intelligence Knowledge transfer Language model Natural language processing Transfer of learning Machine learning Theoretical computer science

Subject Areas

Topic Modeling ·Artificial Intelligence ·Physical Sciences
Natural Language Processing Techniques ·Artificial Intelligence ·Physical Sciences
Sentiment Analysis and Opinion Mining ·Artificial Intelligence ·Physical Sciences