2021
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval
EMNLP 2021main
The semantic matching capabilities of neural information retrieval can ameliorate synonymy and polysemy problems of symbolic approaches. However, neural models’ dense representations are more suitable for re-ranking, due to their inefficiency. Sparse representations, either in symbolic or latent for…