ICTIR22: Sparse Pairwise Re-ranking with Pre-trained Transformers

Repository for the paper "Sparse Pairwise Re-ranking with Pre-trained Transformers" published at ICTIR 2022.

Project Organization

├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   └── processed      <- The final, canonical data sets for modeling.
├── notebooks          <- Jupyter notebooks.
├── scripts            <- Automated tasks.
├── src                <- Source code for use in this project.
└── tests              <- Unit tests.

Citation

@InProceedings{gienapp:2022,
    author =                {Lukas Gienapp and Maik Fr{\"o}be and Matthias Hagen and Martin Potthast},
    booktitle =             {2022 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '22)},
    month =                 jul,
    publisher =             {ACM},
    site =                  {Spain},
    title =                 {{Sparse Pairwise Re-ranking with Pre-trained Transformers}},
    year =                  2022,
}