DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval

Python Jupyter Notebook Submitted 17 October 2022Published 05 July 2023
Review

Editor: @arfon (all papers)
Reviewers: @KonradHoeffner (all reviews), @amitkumarj441 (all reviews)

Authors

Vincent Nguyen (0000-0003-1787-8090), Sarvnaz Karimi (0000-0002-4927-3937), Zhenchang Xing (0000-0001-7663-1421)

Citation

Nguyen et al., (2023). DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval. Journal of Open Source Software, 8(87), 5017, https://doi.org/10.21105/joss.05017

@article{Nguyen2023, doi = {10.21105/joss.05017}, url = {https://doi.org/10.21105/joss.05017}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {87}, pages = {5017}, author = {Vincent Nguyen and Sarvnaz Karimi and Zhenchang Xing}, title = {DeBEIR: A Python Package for Dense Bi-Encoder Information Retrieval}, journal = {Journal of Open Source Software} }
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information retrieval dense retrieval bi-encoder transformers pytorch python deep learning neural networks machine learning natural language processing

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