从新闻文章中提取源信息:信息提取

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval Pub Date : 2022-12-16 DOI:10.1145/3582768.3582774

Tabassum Sultana, Eric R. Harley, Gavin Adamson, Asmaa Malik

{"title":"从新闻文章中提取源信息:信息提取","authors":"Tabassum Sultana, Eric R. Harley, Gavin Adamson, Asmaa Malik","doi":"10.1145/3582768.3582774","DOIUrl":null,"url":null,"abstract":"One of the factors influencing the credibility of news is source attribution. Ideally, news would be based on a balanced variety of sources. In this work we use spaCy1 and Python2 to identify sources of information cited in news articles and assign the sources to categories, as a first step in building software that assesses the balance and breadth of the sourcing in news articles. The preliminary testing of the software indicates that identification of the sources has a recall of 73% and accuracy of 95%, and the sources are categorized with overall accuracy of 78%.","PeriodicalId":315721,"journal":{"name":"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extracting Source Information From News Articles: Information Extraction\",\"authors\":\"Tabassum Sultana, Eric R. Harley, Gavin Adamson, Asmaa Malik\",\"doi\":\"10.1145/3582768.3582774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the factors influencing the credibility of news is source attribution. Ideally, news would be based on a balanced variety of sources. In this work we use spaCy1 and Python2 to identify sources of information cited in news articles and assign the sources to categories, as a first step in building software that assesses the balance and breadth of the sourcing in news articles. The preliminary testing of the software indicates that identification of the sources has a recall of 73% and accuracy of 95%, and the sources are categorized with overall accuracy of 78%.\",\"PeriodicalId\":315721,\"journal\":{\"name\":\"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3582768.3582774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3582768.3582774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

新闻来源归属是影响新闻可信度的因素之一。理想情况下，新闻应该基于各种平衡的来源。在这项工作中，我们使用spaCy1和Python2来识别新闻文章中引用的信息来源，并将这些来源分配给类别，这是构建评估新闻文章中来源平衡和广度的软件的第一步。软件初步测试表明，源识别的召回率为73%，准确率为95%，源分类的总体准确率为78%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Extracting Source Information From News Articles: Information Extraction

One of the factors influencing the credibility of news is source attribution. Ideally, news would be based on a balanced variety of sources. In this work we use spaCy1 and Python2 to identify sources of information cited in news articles and assign the sources to categories, as a first step in building software that assesses the balance and breadth of the sourcing in news articles. The preliminary testing of the software indicates that identification of the sources has a recall of 73% and accuracy of 95%, and the sources are categorized with overall accuracy of 78%.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval

自引率

0.00%

发文量