Publication | Open Access
The DISRPT 2021 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification
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Citations
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References
2021
Year
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Shared TaskSyntactic ParsingEngineeringDiscourse ParsingLanguage ProcessingText MiningRelation ClassificationNatural Language ProcessingApplied LinguisticsSyntaxData ScienceComputational LinguisticsDiscourse AnalysisConversation AnalysisCorpus AnalysisGrammarLanguage StudiesDisrpt Shared TaskMachine TranslationLearner Corpus LinguisticsNlp TaskSemantic ParsingShallow ParsingParsingTreebanksDiscourse StructureDisrpt 2021Relationship ExtractionLinguistics
In 2021, we organized the second iteration of a shared task dedicated to the underlying units used in discourse parsing across formalisms: the DISRPT Shared Task (Discourse Relation Parsing and Treebanking). Adding to the 2019 tasks on Elementary Discourse Unit Segmentation and Connective Detection, this iteration of the Shared Task included for the first time a track on discourse relation classification across three formalisms: RST, SDRT, and PDTB. In this paper we review the data included in the Shared Task, which covers nearly 3 million manually annotated tokens from 16 datasets in 11 languages, survey and compare submitted systems and report on system performance on each task for both annotated and plain-tokenized versions of the data.
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