{"id":13678398,"url":"https://github.com/hical/HiCAL","last_synced_at":"2025-04-29T13:30:54.849Z","repository":{"id":33474547,"uuid":"140040593","full_name":"hical/HiCAL","owner":"hical","description":"HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.","archived":false,"fork":false,"pushed_at":"2022-12-26T20:29:10.000Z","size":6087,"stargazers_count":35,"open_issues_count":12,"forks_count":11,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-08-02T13:22:19.893Z","etag":null,"topics":["active-learning","cal","document-assessment","high-recall","information-retrieval","machine-learning","search-engine","test-collection"],"latest_commit_sha":null,"homepage":"https://hical.github.io/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hical.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-07-07T00:28:23.000Z","updated_at":"2024-03-16T19:32:14.000Z","dependencies_parsed_at":"2023-01-15T01:04:36.806Z","dependency_job_id":null,"html_url":"https://github.com/hical/HiCAL","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hical%2FHiCAL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hical%2FHiCAL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hical%2FHiCAL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hical%2FHiCAL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hical","download_url":"https://codeload.github.com/hical/HiCAL/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224173881,"owners_count":17268191,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["active-learning","cal","document-assessment","high-recall","information-retrieval","machine-learning","search-engine","test-collection"],"created_at":"2024-08-02T13:00:53.141Z","updated_at":"2024-11-11T20:31:34.242Z","avatar_url":"https://github.com/hical.png","language":"Python","readme":"![HiCAL](/images/hical.png)\n\n## Want to find all relevant documents?\nHiCAL 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.\n\nTo learn more about HiCAL, read our [paper](https://dl.acm.org/doi/10.1145/3209978.3210176) or visit the project's [website](https://hical.github.io/).\n\n```\n@inproceedings{10.1145/3209978.3210176,\n    author = {Abualsaud, Mustafa and Ghelani, Nimesh and Zhang, Haotian and Smucker, Mark D. and Cormack, Gordon V. and Grossman, Maura R.},\n    title = {A System for Efficient High-Recall Retrieval},\n    year = {2018},\n    isbn = {9781450356572},\n    publisher = {Association for Computing Machinery},\n    address = {New York, NY, USA},\n    url = {https://doi.org/10.1145/3209978.3210176},\n    doi = {10.1145/3209978.3210176},\n    booktitle = {The 41st International ACM SIGIR Conference on Research \u0026 Development in Information Retrieval},\n    pages = {1317–1320},\n    numpages = {4},\n    keywords = {high-recall, systematic review, electronic discovery},\n    location = {Ann Arbor, MI, USA},\n    series = {SIGIR ’18}\n}\n```\n\n\n## Install\n\nVisit [hical.github.io](https://hical.github.io/) for usage and\ninstallation instruction.  For component specific details, check the README in\ntheir respective directory.\n\n### Relevant Papers\n\nLearn more about HiCAL and its performance in the following papers:\n\n+ [UWaterlooMDS at the TREC 2018 Common Core Track](https://cs.uwaterloo.ca/~h435zhan/TREC2018) *TREC 2018*\n\n+ Haotian Zhang, Mustafa Abualsaud, Nimesh Ghelani, Mark Smucker, Gordon Cormack and Maura Grossman. [Effective User Interaction for High-Recall Retrieval: Less is More](https://cs.uwaterloo.ca/~h435zhan/CIKM2018) *CIKM 2018*\n\n+ Nimesh Ghelani, Gordon Cormack, and Mark Smucker. [Refresh Strategies in Continuous Active Learning](http://ceur-ws.org/Vol-2127/paper6-profs.pdf) *SIGIR 2018 workshop on Professional Search*\n\n+ Mustafa Abualsaud, Nimesh Ghelani, Haotian Zhang, Mark Smucker, Gordon Cormack and Maura Grossman. [A System for Efficient High-Recall Retrieval](https://dl.acm.org/citation.cfm?id=3209978.3210176) *Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018)*\n\n+ Haotian Zhang, Mustafa Abualsaud, Nimesh Ghelani, Angshuman Ghosh, Mark Smucker, Gordon Cormack and Maura Grossman. [UWaterlooMDS at the TREC 2017 Common Core Track](https://trec.nist.gov/pubs/trec26/papers/UWaterlooMDS-CC.pdf) *(TREC 2017)*\n\n+ Haotian Zhang, Gordon Cormack, Maura Grossman and Mark Smucker. [Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval](https://arxiv.org/abs/1803.08988)\n\n\nLicense\n--------\n\n[![GNU GPL v3.0](http://www.gnu.org/graphics/gplv3-127x51.png)](http://www.gnu.org/licenses/gpl.html) \n","funding_links":[],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhical%2FHiCAL","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhical%2FHiCAL","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhical%2FHiCAL/lists"}