{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/active-learning-amidst-logical-knowledge","title":"Active Learning amidst Logical Knowledge","arxiv_id":"1709.08850","date":"2017-09-26","proceeding":null,"authors":["Emmanouil Antonios Platanios","Ashish Kapoor","Eric Horvitz"],"abstract":"Structured prediction is ubiquitous in applications of machine learning such\nas knowledge extraction and natural language processing. Structure often can be\nformulated in terms of logical constraints. We consider the question of how to\nperform efficient active learning in the presence of logical constraints among\nvariables inferred by different classifiers. We propose several methods and\nprovide theoretical results that demonstrate the inappropriateness of employing\nuncertainty guided sampling, a commonly used active learning method.\nFurthermore, experiments on ten different datasets demonstrate that the methods\nsignificantly outperform alternatives in practice. The results are of practical\nsignificance in situations where labeled data is scarce.","url_abs":"http://arxiv.org/abs/1709.08850v1","url_pdf":"http://arxiv.org/pdf/1709.08850v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"active-learning-amidst-logical-knowledge","repo_url":"https://github.com/eaplatanios/makina","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"active-learning","task_name":"Active Learning"},{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"structured-prediction","task_name":"Structured Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}