Multilingual Extension of PDTB-Style Annotation: The Case of TED Multilingual Discourse Bank (L18-1)
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| Challenge: | Existing corpora enriched with discourse annotations are scarce but exist . TED-MDB is hoped to be a source of parallel data for contrastive linguistic analysis and language technology applications. |
| Approach: | They propose a multilingual discourse treebank to provide a clear description of discourse structure and semantics in multiple languages. |
| Outcome: | The proposed corpus provides a clearly described level of discourse structure and semantics in multiple languages. |
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| Challenge: | TED-CDB dataset is a unique corpus of spoken discourse in Chinese . TED is based on the concept that discourse relations are grounded in an identifiable set of discourse connectives or Altlex expressions. |
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ISO-based Annotated Multilingual Parallel Corpus for Discourse Markers (2022.lrec-1)
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Purificação Silvano, Mariana Damova, Giedrė Valūnaitė Oleškevičienė, Chaya Liebeskind, Christian Chiarcos, Dimitar Trajanov, Ciprian-Octavian Truică, Elena-Simona Apostol, Anna Baczkowska
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| Challenge: | Experiments show that models trained on multi-way parallel data outperform those trained on unaligned data. |
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Towards Unification of Discourse Annotation Frameworks (2022.acl-srw)
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| Challenge: | Discourse information is difficult to represent and annotate, and corpora annotated under different frameworks vary considerably. |
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