RST-Tace A tool for automatic comparison and evaluation of RST trees

Shujun Wan, Tino Kutschbach, Anke Lüdeling, Manfred Stede
{"title":"RST-Tace A tool for automatic comparison and evaluation of RST trees","authors":"Shujun Wan, Tino Kutschbach, Anke Lüdeling, Manfred Stede","doi":"10.18653/v1/W19-2712","DOIUrl":null,"url":null,"abstract":"This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees. RST-Tace serves as an implementation of Iruskieta’s comparison method, which allows trees to be compared and evaluated without the influence of decisions at lower levels in a tree in terms of four factors: constituent, attachment point, nuclearity as well as relation. RST-Tace can be used regardless of the language or the size of rhetorical trees. This tool aims to measure the agreement between two annotators. The result is reflected by F-measure and inter-annotator agreement. Both the comparison table and the result of the evaluation can be obtained automatically.","PeriodicalId":243254,"journal":{"name":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/W19-2712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

This paper presents RST-Tace, a tool for automatic comparison and evaluation of RST trees. RST-Tace serves as an implementation of Iruskieta’s comparison method, which allows trees to be compared and evaluated without the influence of decisions at lower levels in a tree in terms of four factors: constituent, attachment point, nuclearity as well as relation. RST-Tace can be used regardless of the language or the size of rhetorical trees. This tool aims to measure the agreement between two annotators. The result is reflected by F-measure and inter-annotator agreement. Both the comparison table and the result of the evaluation can be obtained automatically.
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
RST- tace一个自动比较和评估RST树的工具
本文介绍了RST- tace,一个用于RST树自动比较和评价的工具。RST-Tace是Iruskieta比较方法的实现,该方法允许在不受树中较低层次决策影响的情况下,根据四个因素对树进行比较和评估:成分、附着点、核性和关系。不论语言或修辞树的大小,都可以使用RST-Tace。该工具旨在度量两个注释者之间的一致性。结果反映在f测度和注释者间的一致性上。自动获得比较表和评价结果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Towards the Data-driven System for Rhetorical Parsing of Russian Texts Nuclearity in RST and signals of coherence relations ToNy: Contextual embeddings for accurate multilingual discourse segmentation of full documents Toward Cross-theory Discourse Relation Annotation Towards discourse annotation and sentiment analysis of the Basque Opinion Corpus
×
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