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HiCAL

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HiCAL is a system for efficient high-recall retrieval. The system allows retrieving and assessing relevant documents with high data processing performance and a user-friendly document assessment interface.

To learn more about HiCAL, read our paper or visit the project's website.

@inproceedings{10.1145/3209978.3210176,
    author = {Abualsaud, Mustafa and Ghelani, Nimesh and Zhang, Haotian and Smucker, Mark D. and Cormack, Gordon V. and Grossman, Maura R.},
    title = {A System for Efficient High-Recall Retrieval},
    year = {2018},
    isbn = {9781450356572},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/3209978.3210176},
    doi = {10.1145/3209978.3210176},
    booktitle = {The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval},
    pages = {1317–1320},
    numpages = {4},
    keywords = {high-recall, systematic review, electronic discovery},
    location = {Ann Arbor, MI, USA},
    series = {SIGIR ’18}
}

Install

Visit hical.github.io for usage and installation instruction. For component specific details, check the README in their respective directory.

Relevant Papers

Learn more about HiCAL and its performance in the following papers:

License

GNU GPL v3.0