IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches

Josef Ruppenhofer, Julia Maria Struß, J. Sonntag, Stefan Gindl
{"title":"IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches","authors":"Josef Ruppenhofer, Julia Maria Struß, J. Sonntag, Stefan Gindl","doi":"10.21248/jlcl.29.2014.182","DOIUrl":null,"url":null,"abstract":"Accurate opinion mining requires the exact identification of the source and target of an opinion. To evaluate diverse tools, the research community relies on the existence of a gold standard corpus covering this need. Since such a corpus is currently not available for German, the Interest Group on German Sentiment Analysis decided to create such a resource and make it available to the research community in the context of a shared task. In this paper, we describe the selection of textual sources, development of annotation guidelines, and first evaluation results in the creation of a gold standard corpus for the German language.","PeriodicalId":402489,"journal":{"name":"J. Lang. Technol. Comput. Linguistics","volume":"162 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Lang. Technol. Comput. Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21248/jlcl.29.2014.182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Accurate opinion mining requires the exact identification of the source and target of an opinion. To evaluate diverse tools, the research community relies on the existence of a gold standard corpus covering this need. Since such a corpus is currently not available for German, the Interest Group on German Sentiment Analysis decided to create such a resource and make it available to the research community in the context of a shared task. In this paper, we describe the selection of textual sources, development of annotation guidelines, and first evaluation results in the creation of a gold standard corpus for the German language.
IGGSA-STEPS:从政治演讲中提取源和目标的共享任务
准确的意见挖掘需要准确识别意见的来源和目标。为了评估不同的工具,研究界依赖于覆盖这一需求的金标准语料库的存在。由于目前还没有德语语料库,德语情感分析兴趣小组决定创建这样一个资源,并在共享任务的背景下将其提供给研究界。在本文中,我们描述了文本来源的选择,注释指南的开发,以及创建德语黄金标准语料库的第一次评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信