| Challenge: | Discourse analysis is becoming increasingly important in the field of natural language processing. |
| Approach: | They propose to annotate macro discourse information and additional discourse information to make annotation more objective and accurate. |
| Outcome: | The results show that the annotations are more objective and accurate than the previous ones. |
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| Challenge: | Discourse structure analysis is an important research topic in natural language processing. |
| Approach: | They propose to construct a macro discourse structure framework and annotate 147 Newswire articles. |
| Outcome: | The proposed framework can lay the foundation for further analysis of macro discourse structure. |
GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing (2022.aacl-short)
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| Challenge: | GCDT is the largest hierarchical discourse treebank for Mandarin Chinese in the framework of Rhetorical Structure Theory (RST). |
| Approach: | They propose to use a Chinese hierarchical discourse treebank to parse Mandarin Chinese using relation inventory and a multilingual training program. |
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Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank (C18-1)
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| Challenge: | Discourse parsing is a challenging task and plays a critical role in discourse analysis. |
| Approach: | They propose a macro discourse structure presentation schema to present the macro level discourse structure analysis. |
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GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains (2024.emnlp-main)
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Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Levine, Jessica Lin, Devika Tiwari, Amir Zeldes
| Challenge: | Existing shallow discourse parsing systems focus on the Wall Street Journal corpus, but the data is limited to the news domain and is 35 years old. |
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TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks (2020.emnlp-main)
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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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SciDTB: Discourse Dependency TreeBank for Scientific Abstracts (P18-2)
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| Challenge: | Discourse relations are annotated on scientific articles. |
| Approach: | They propose a domain-specific discourse treebank annotated on scientific articles . they use dependency trees to represent discourse structure, which is flexible and simplified . |
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| Challenge: | Compared with sentence-level topic structure, paragraph-level topics can grasp and understand the context of a document from a higher level. |
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Shallow Discourse Annotation for Chinese TED Talks (2020.lrec-1)
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| Challenge: | Existing methods to annotate text with discourse properties are limited to newspaper articles and are not available in Chinese. |
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Cost-Effective Discourse Annotation in the Prague Czech–English Dependency Treebank (2024.lrec-main)
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| Challenge: | a method for obtaining a high-quality annotation of explicit discourse relations is a resource-demanding task. |
| Approach: | They propose a method for obtaining a high-quality annotation of explicit discourse relations in the Czech part of the Prague Czech–English Dependency Treebank. |
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MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision (2020.emnlp-main)
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| Challenge: | Existing discourse treebanks are limited in the application of data-driven approaches to discourse parsing. |
| Approach: | They propose a method to automatically generate discourse treebanks using distant supervision from sentiment annotated datasets by heuristic beam-search strategy extended with a stochastic component. |
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