| Challenge: | Discourse information is difficult to represent and annotate, and corpora annotated under different frameworks vary considerably. |
| Approach: | They propose to use automatic means to unify discourse structures and relations . they will also explore the application of the unified framework in multi-task learning and graphical models . |
| Outcome: | The proposed method can be used in multi-task learning and graphical models. |
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| Challenge: | a new annotation scheme and discourse-analytic method is developed for information structure annotation. |
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A Survey of QUD Models for Discourse Processing (2025.naacl-long)
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| Challenge: | Question Under Discussion (QUD) is a linguistic analytic framework for explaining pragmatic phenomena and information structural analysis. |
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| Challenge: | Existing tools for discourse relations and sentence reordering are difficult to use and clutter the display. |
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SciDTB: Discourse Dependency TreeBank for Scientific Abstracts (P18-2)
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Universal Anaphora: The First Three Years (2024.lrec-main)
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Massimo Poesio, Maciej Ogrodniczuk, Vincent Ng, Sameer Pradhan, Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, Amir Zeldes, Anna Nedoluzhko, Michal Novák, Martin Popel, Zdeněk Žabokrtský, Daniel Zeman
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Enriching a Lexicon of Discourse Connectives with Corpus-based Data (L18-1)
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| Challenge: | Existing annotation efforts for multiple languages have focused on discourse connectives, but we have limited it to the class of connectives marking contrast and the additional relations such connectives might convey. |
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