March 26, 2024, 4:52 a.m. | Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus, Xinyu Zhang, Akintunde Oladipo, Jimmy Lin, Martin Potthast

cs.CL updates on arXiv.org arxiv.org

arXiv:2302.14534v2 Announce Type: replace-cross
Abstract: We present Spacerini, a tool that integrates the Pyserini toolkit for reproducible information retrieval research with Hugging Face to enable the seamless construction and deployment of interactive search engines. Spacerini makes state-of-the-art sparse and dense retrieval models more accessible to non-IR practitioners while minimizing deployment effort. This is useful for NLP researchers who want to better understand and validate their research by performing qualitative analyses of training corpora, for IR researchers who want to demonstrate …

abstract art arxiv construction cs.cl cs.ir deployment face hugging face information interactive research retrieval search state tool toolkit type

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