The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification

Chloé Braud, Yang Janet Liu, Eleni (Lena) Metheniti, Philippe Muller, Laura Rivière, Attapol T. Rutherford, Amir Zeldes
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引用次数: 2

Abstract

In 2023, the third iteration of the DISRPT Shared Task (Discourse Relation Parsing and Treebanking) was held, dedicated to the underlying units used in discourse parsing across formalisms. Following the success of the 2019and 2021 tasks on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification, this iteration has added 10 new corpora, including 2 new languages (Thai and Italian) and 3 discourse treebanks annotated in the discourse dependency representation in addition to the previously included frameworks: RST, SDRT, and PDTB. In this paper, we review the data included in the Shared Task, which covers 26 datasets across 13 languages, survey and compare submitted systems, and report on system performance on each task for both annotated and plain-tokenized versions of the data.
基于基本话语单元分割、连接检测和关系分类的DISRPT 2023共享任务
2023年,DISRPT共享任务(语篇关系分析和树库)的第三次迭代举行,致力于跨形式主义语篇分析中使用的底层单元。继2019年和2021年基本话语单元分割、连接检测和关系分类任务的成功之后,这次迭代增加了10个新的语料库,包括2个新的语言(泰语和意大利语)和3个在话语依赖表示中注释的话语树库,以及之前包括的框架:RST、SDRT和PDTB。在本文中,我们回顾了共享任务中包含的数据,其中涵盖了13种语言的26个数据集,调查和比较了提交的系统,并报告了每个任务的系统性能,包括数据的注释和普通标记化版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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