Quantum Entanglement in NLP
Bob and Connor discuss the alignment of quantum entanglement with the needs of natural language processing, exploring the role of vector spaces and tensor structures. They delve into the use of complex numbers in classical NLP and the importance of capturing correlations in embedding models for a deeper understanding of meaning relationships.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#53 Quantum Natural Language Processing - Prof. Bob Coecke (Oxford)
Related Questions