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A Study on Token Pruning for ColBERT
Our experiments show that ColBERT indexes can be pruned up to 30\% on the MS MARCO passage collection without a significant drop in performance.
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval
The semantic matching capabilities of neural information retrieval can ameliorate synonymy and polysemy problems of symbolic approaches.
A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding
A distributed representation has become a popular approach to capturing a word meaning.
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