{"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/relation-extraction-a-survey","title":"Relation Extraction : A Survey","arxiv_id":"1712.05191","date":"2017-12-14","proceeding":null,"authors":["Sachin Pawar","Girish K. Palshikar","Pushpak Bhattacharyya"],"abstract":"With the advent of the Internet, large amount of digital text is generated\neveryday in the form of news articles, research publications, blogs, question\nanswering forums and social media. It is important to develop techniques for\nextracting information automatically from these documents, as lot of important\ninformation is hidden within them. This extracted information can be used to\nimprove access and management of knowledge hidden in large text corpora.\nSeveral applications such as Question Answering, Information Retrieval would\nbenefit from this information. Entities like persons and organizations, form\nthe most basic unit of the information. Occurrences of entities in a sentence\nare often linked through well-defined relations; e.g., occurrences of person\nand organization in a sentence may be linked through relations such as employed\nat. The task of Relation Extraction (RE) is to identify such relations\nautomatically. In this paper, we survey several important supervised,\nsemi-supervised and unsupervised RE techniques. We also cover the paradigms of\nOpen Information Extraction (OIE) and Distant Supervision. Finally, we describe\nsome of the recent trends in the RE techniques and possible future research\ndirections. This survey would be useful for three kinds of readers - i)\nNewcomers in the field who want to quickly learn about RE; ii) Researchers who\nwant to know how the various RE techniques evolved over time and what are\npossible future research directions and iii) Practitioners who just need to\nknow which RE technique works best in various settings.","url_abs":"http://arxiv.org/abs/1712.05191v1","url_pdf":"http://arxiv.org/pdf/1712.05191v1.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":"relation-extraction-a-survey","repo_url":"https://github.com/cipnlu/InformationExtraction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"paddle","reach":null}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"management","task_name":"Management"},{"task_slug":"open-information-extraction","task_name":"Open Information Extraction"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":null,"task_name":"Relation"},{"task_slug":"relation-extraction","task_name":"Relation Extraction"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1712.05191","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}