{"id":16269263,"url":"https://github.com/thinkwee/subjectivebiasabs","last_synced_at":"2026-01-31T16:04:37.379Z","repository":{"id":79907439,"uuid":"378163581","full_name":"thinkwee/SubjectiveBiasABS","owner":"thinkwee","description":"code for the arxiv paper \"Subjective Bias in Abstractive Summarization\"","archived":false,"fork":false,"pushed_at":"2024-10-07T04:31:44.000Z","size":37,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-12-04T03:51:34.582Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/thinkwee.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-06-18T13:45:02.000Z","updated_at":"2024-11-29T02:10:07.000Z","dependencies_parsed_at":"2024-11-05T00:41:32.357Z","dependency_job_id":"c6bb7dd7-0ade-4955-8f9d-eee8e765eea2","html_url":"https://github.com/thinkwee/SubjectiveBiasABS","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/thinkwee%2FSubjectiveBiasABS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thinkwee%2FSubjectiveBiasABS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thinkwee%2FSubjectiveBiasABS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thinkwee%2FSubjectiveBiasABS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/thinkwee","download_url":"https://codeload.github.com/thinkwee/SubjectiveBiasABS/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228475977,"owners_count":17926134,"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":"2024-10-10T18:07:49.595Z","updated_at":"2026-01-31T16:04:32.358Z","avatar_url":"https://github.com/thinkwee.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Subjective Bias in Abstractive Summarization\n\n\u003cp align=\"center\"\u003e\n\u003cimg width=\"400\" alt=\"image\" src=\"https://github.com/user-attachments/assets/dac0dcef-b5c4-4548-bb7c-d3c15868cca8\"\u003e\n\u003cimg width=\"400\" alt=\"image\" src=\"https://github.com/user-attachments/assets/6aaa2840-a8da-467e-9585-c7535565aa9f\"\u003e\n\u003c/p\u003e\n\n-\tcode for the paper [*Subjective Bias in Abstractive Summarization*](https://arxiv.org/pdf/2106.10084.pdf)\n- We examined the influence of subjective style bias in large-scale abstractive summarization datasets and introduced a Graph Convolutional Network method to capture and embed writing styles. Results demonstrate that style-clustered datasets enhance model convergence, abstraction, and generalization.\n\n# introduction\n- params.py: hyperparameters\n- get_datasets.py: get the topk Oracle sentences in the article then parse\n- process_dataset.py: turn parsed file into the format of DGL graph triplet\n- model.py: the self-supervised GCN model for extracting subjective style embedding\n- train.py: training\n- infer.py: infer the whole training set to get subjective style embedding for clustering\n\n# detail\n- negative samples of Oracle sentences are uniform-sampled by the Jaccard sim\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthinkwee%2Fsubjectivebiasabs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthinkwee%2Fsubjectivebiasabs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthinkwee%2Fsubjectivebiasabs/lists"}