2009年TUNA-REG挑战:概述和评估结果

Albert Gatt, A. Belz, Eric Kow
{"title":"2009年TUNA-REG挑战:概述和评估结果","authors":"Albert Gatt, A. Belz, Eric Kow","doi":"10.3115/1610195.1610224","DOIUrl":null,"url":null,"abstract":"The GREC Task at REG '08 required participating systems to select coreference chains to the main subject of short encyclopaedic texts collected from Wikipedia. Three teams submitted a total of 6 systems, and we additionally created four baseline systems. Systems were tested automatically using a range of existing intrinsic metrics. We also evaluated systems extrinsically by applying coreference resolution tools to the outputs and measuring the success of the tools. In addition, systems were tested in a reading/comprehension experiment involving human subjects. This report describes the GREC Task and the evaluation methods, gives brief descriptions of the participating systems, and presents the evaluation results.","PeriodicalId":307841,"journal":{"name":"European Workshop on Natural Language Generation","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"101","resultStr":"{\"title\":\"The TUNA-REG Challenge 2009: Overview and Evaluation Results\",\"authors\":\"Albert Gatt, A. Belz, Eric Kow\",\"doi\":\"10.3115/1610195.1610224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The GREC Task at REG '08 required participating systems to select coreference chains to the main subject of short encyclopaedic texts collected from Wikipedia. Three teams submitted a total of 6 systems, and we additionally created four baseline systems. Systems were tested automatically using a range of existing intrinsic metrics. We also evaluated systems extrinsically by applying coreference resolution tools to the outputs and measuring the success of the tools. In addition, systems were tested in a reading/comprehension experiment involving human subjects. This report describes the GREC Task and the evaluation methods, gives brief descriptions of the participating systems, and presents the evaluation results.\",\"PeriodicalId\":307841,\"journal\":{\"name\":\"European Workshop on Natural Language Generation\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"101\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Workshop on Natural Language Generation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/1610195.1610224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Workshop on Natural Language Generation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/1610195.1610224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 101

摘要

REG '08的GREC任务要求参与系统选择从维基百科收集的简短百科全书文本的主要主题的共参考链。三个团队共提交了6个系统,我们另外创建了4个基线系统。系统使用一系列现有的内在指标进行自动测试。我们还通过将共参考解决工具应用于输出和测量工具的成功,从外部评估系统。此外,系统在一个涉及人类受试者的阅读/理解实验中进行了测试。本报告描述了GREC任务和评估方法,简要介绍了参与系统,并给出了评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The TUNA-REG Challenge 2009: Overview and Evaluation Results
The GREC Task at REG '08 required participating systems to select coreference chains to the main subject of short encyclopaedic texts collected from Wikipedia. Three teams submitted a total of 6 systems, and we additionally created four baseline systems. Systems were tested automatically using a range of existing intrinsic metrics. We also evaluated systems extrinsically by applying coreference resolution tools to the outputs and measuring the success of the tools. In addition, systems were tested in a reading/comprehension experiment involving human subjects. This report describes the GREC Task and the evaluation methods, gives brief descriptions of the participating systems, and presents the evaluation results.
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
自引率
0.00%
发文量
0
期刊最新文献
Natural Language Generation from Pictographs A Personal Storytelling about Your Favorite Data Topic Transition Strategies for an Information-Giving Agent Sentence Ordering in Electronic Navigational Chart Companion Text Generation Generating Récit from Sensor Data: Evaluation of a Task Model for Story Planning and Preliminary Experiments with GPS Data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1