Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations.

Jimmy Lin|Xueguang Ma|Sheng-Chieh Lin|Jheng-Hong Yang|Ronak Pradeep|Rodrigo Nogueira


Anthology ID:DBLP:conf/sigir/LinMLYPN21
Volume:SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Year:2021
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2356-2362
URL:https://doi.org/10.1145/3404835.3463238
DOI:https://doi.org/10.1145/3404835.3463238
DBLP:conf/sigir/LinMLYPN21
BibTeX:
@inproceedings{lin-2021-pyserini, author = {Jimmy Lin and Xueguang Ma and Sheng-Chieh Lin and Jheng-Hong Yang and Ronak Pradeep and Rodrigo Nogueira}, editor = {Fernando Diaz and Chirag Shah and Torsten Suel and Pablo Castells and Rosie Jones and Tetsuya Sakai}, title = {{Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations}}, booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}}, pages = {2356--2362}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3404835.3463238}, doi = {https://doi.org/10.1145/3404835.3463238} }