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COIL: Revisit Exact Lexical Match in Information Retrieval With Contextualized Inverted List by hamiddarwish573 is a document available to read on EtoBox.

What is COIL: Revisit Exact Lexical Match in Information Retrieval With Contextualized Inverted List about?

The paper introduces COIL, a contextualized exact match retrieval architecture that combines the efficiency of classical lexical match systems with the semantic power of deep language models. COIL utilizes contextualized token representations stored in inverted lists to improve matching signals while maintaining computational efficiency. Experimental results demonstrate that COIL outperforms both classical and state-of-the-art deep learning-based retrieval systems in terms of performance and latency.

Author

hamiddarwish573

Language

EN