{"id":18833022,"url":"https://github.com/declare-lab/sat","last_synced_at":"2025-04-14T04:31:55.647Z","repository":{"id":63230506,"uuid":"554915431","full_name":"declare-lab/SAT","owner":"declare-lab","description":"Code for the EMNLP 2022 Findings short paper \"SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training\"","archived":false,"fork":false,"pushed_at":"2023-02-25T16:44:51.000Z","size":67051,"stargazers_count":13,"open_issues_count":0,"forks_count":4,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-27T18:21:48.953Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/declare-lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-10-20T16:09:45.000Z","updated_at":"2024-02-20T12:47:17.000Z","dependencies_parsed_at":"2022-11-15T10:15:15.396Z","dependency_job_id":null,"html_url":"https://github.com/declare-lab/SAT","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/declare-lab%2FSAT","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/declare-lab%2FSAT/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/declare-lab%2FSAT/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/declare-lab%2FSAT/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/declare-lab","download_url":"https://codeload.github.com/declare-lab/SAT/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248821761,"owners_count":21166953,"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":[],"created_at":"2024-11-08T01:59:56.181Z","updated_at":"2025-04-14T04:31:50.637Z","avatar_url":"https://github.com/declare-lab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training\nThis repository contains the official implementation code of the EMNLP 2022 Findings short paper [SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training](https://arxiv.org/pdf/2210.12653v1.pdf).\n\n\n## Usage\n\n1. Set up the environment\n```\nconda create -n sat python==3.7.5\nconda activate sat\ncd SAT/\npip3 install -r requirements.txt\n```\n\n2. Training\n```\ncd src/\nbash run.sh\n```\nThe parameters.txt shows a list of hyper-parameters.\n\n## Citation\nPlease cite our paper if you find our work useful for your research:\n```bibtex\n@inproceedings{chen-etal-2022-sat,\n    title = \"{SAT}: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training\",\n    author = \"Chen, Hui  and  Han, Wei  and  Poria, Soujanya\",\n    booktitle = \"Findings of the Association for Computational Linguistics: EMNLP 2022\",\n    month = dec,\n    year = \"2022\",\n    address = \"Abu Dhabi, United Arab Emirates\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.findings-emnlp.456\",\n    pages = \"6141--6146\",\n}\n\n```\n\n## Contact\nShould you have any questions, feel free to contact [chchenhui1996@gmail.com](chchenhui1996@gmail.com).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeclare-lab%2Fsat","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeclare-lab%2Fsat","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeclare-lab%2Fsat/lists"}