Binary Representation of NLP Embeddings Using Spiking Neural Networks*
Efficient text embedding is critical for large-scale natural language processing (NLP) applications, where storage, computation, and scalability are key concerns. While binary representations offer a compact alternative to real-valued embeddings, existing approaches typically rely on fixed or heuristic thresholding sch...