Annotating Shallow Discourse Relations in Twitter Conversations

Tatjana Scheffler, Berfin Aktas, Debopam Das, Manfred Stede
{"title":"Annotating Shallow Discourse Relations in Twitter Conversations","authors":"Tatjana Scheffler, Berfin Aktas, Debopam Das, Manfred Stede","doi":"10.18653/v1/W19-2707","DOIUrl":null,"url":null,"abstract":"We introduce our pilot study applying PDTB-style annotation to Twitter conversations. Lexically grounded coherence annotation for Twitter threads will enable detailed investigations of the discourse structure of conversations on social media. Here, we present our corpus of 185 threads and annotation, including an inter-annotator agreement study. We discuss our observations as to how Twitter discourses differ from written news text wrt. discourse connectives and relations. We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text. We find that in Twitter, connective arguments frequently are not full syntactic clauses, and that a few general connectives expressing EXPANSION and CONTINGENCY make up the majority of the explicit relations in our data.","PeriodicalId":243254,"journal":{"name":"Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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/W19-2707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

We introduce our pilot study applying PDTB-style annotation to Twitter conversations. Lexically grounded coherence annotation for Twitter threads will enable detailed investigations of the discourse structure of conversations on social media. Here, we present our corpus of 185 threads and annotation, including an inter-annotator agreement study. We discuss our observations as to how Twitter discourses differ from written news text wrt. discourse connectives and relations. We confirm our hypothesis that discourse relations in written social media conversations are expressed differently than in (news) text. We find that in Twitter, connective arguments frequently are not full syntactic clauses, and that a few general connectives expressing EXPANSION and CONTINGENCY make up the majority of the explicit relations in our data.
推特对话中的浅语篇关系注释
我们介绍将pdtb风格的注释应用于Twitter对话的试点研究。基于词汇的Twitter线程连贯注释将有助于对社交媒体上对话的话语结构进行详细的调查。在这里,我们展示了185个线程和注释的语料库,包括注释者之间的协议研究。我们讨论我们的观察,如何推特话语不同于书面新闻文本写作。语篇连接词和关系。我们证实了我们的假设,即书面社交媒体对话中的话语关系表达方式不同于(新闻)文本。我们发现,在Twitter中,连接论点经常不是完整的句法从句,并且一些表达扩展和偶然性的一般连接词构成了我们数据中的大多数显式关系。
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