推特对话中的浅语篇关系注释

Tatjana Scheffler, Berfin Aktas, Debopam Das, Manfred Stede
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引用次数: 5

摘要

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。
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Annotating Shallow Discourse Relations in Twitter Conversations
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.
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