CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking

George Zerveas, Navid Rekabsaz, D. Cohen, Carsten Eickhoff

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Number of pages	19
Publication status	Published - Dec 2022

Fields of science

@inproceedings{a2e0f67d2d3f464584a91457de497dc8,

title = "CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking",

author = "George Zerveas and Navid Rekabsaz and D. Cohen and Carsten Eickhoff",

year = "2022",

month = dec,

language = "English",

booktitle = "In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)",

}