Challenge: Discourse information is crucial for many NLP tasks due to the great distance that spans between the two languages.
Approach: They propose to use a Spanish-Chinese parallel corpus with annotated discourse information to serve for bilingual language education.
Outcome: The proposed corpus is composed of 100 Spanish-Chinese parallel texts, and all the discourse markers (DM) have been annotated to form the education source.

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Challenge: Existing studies on text discourse parsing for English are limited due to the lack of annotated data.
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Bilingual Rhetorical Structure Parsing with Large Parallel Annotations (2024.findings-acl)

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Challenge: Existing large RST corpora are inconsistent in annotation guidelines, genre representation, source selection, and relation definitions.
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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).
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Challenge: Discourse markers carry information about the discourse structure and organization, and also signal local dependencies or epistemic stance of speaker.
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Joint Learning of Syntactic Features Helps Discourse Segmentation (2020.lrec-1)

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Challenge: Discourse segmentation is a task of fragmenting text into minimal disjoint chunks of text called Elementary Discourse Units (EDUs).
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BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions (2022.lrec-1)

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Challenge: a new corpus of Basque parliamentary transcripts is released to study political discourse in contrasting languages . a corpus containing political discourses from public institutions can be used for computational social science research .
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Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining (2020.coling-main)

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Challenge: Discourse parsing is an important upstream task within the area of Natural Language Processing (NLP) .
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Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction (2025.emnlp-main)

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Challenge: Despite the development of many subdirections, Cross-Document Cross-Lingual NLI remains largely unexplored.
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A Multilingual Wikified Data Set of Educational Material (L18-1)

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Challenge: a crowdsourcing effort to annotate and link parallel texts has been unsuccessful . a data set of parallel texts in eleven languages is presented .
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Discourse Parsing Enhanced by Discourse Dependence Perception (2022.aacl-main)

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Challenge: Top-down neural models still suffer from the top-down error propagation issue . previous studies gradually switch from feature-based machine learning methods to deep neural models .
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