| Challenge: | Existing studies on discourse coherence show that multiple discourse relations can be operative between two segments for reasons not predicted by the literature. |
| Approach: | They show that people endorse seemingly divergent conjunctions to express the link they see between two segments in a crowdsourced conjunctioninsertion experiment. |
| Outcome: | The proposed results can inform future work on discourse coherence and lead to higher levels of performance in discourse parsing. |
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| Challenge: | Existing work on coherence modeling focuses on entity features or discourse relation features, with little attention given to combining the two. |
| Approach: | They propose two methods for jointly modeling entities and discourse relations for coherence assessment. |
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| Challenge: | Existing work on coherence modeling has focused on integrating entity-based models. |
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Discourse Coherence Through the Lens of an Annotated Text Corpus: A Case Study (L18-1)
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| Challenge: | a corpus-based study of local coherence as established by anaphoric links in discourses is presented . the study uses Czech data present in the Prague Dependency Treebank 3.0 . |
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Clarifying Underspecified Discourse Relations in Instructional Texts (2025.findings-acl)
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Multi-Label Classification for Implicit Discourse Relation Recognition (2024.findings-acl)
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| Challenge: | Prior research in discourse relation recognition has treated these instances as separate examples during training, with a gold-standard prediction matching one of the labels considered correct at test time. |
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Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models (2021.naacl-main)
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| Challenge: | a common approach to coherence evaluation is shuffling the sentence order of a text, creating incoherent text samples that need to be discriminated from the original. |
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Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment (2020.acl-srw)
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| Challenge: | Current models of dialogue focus on utterances within a topically coherent discourse segment, not on social conversations . a pilot annotation study of NTUs is a first step towards a model capable of rationalizing conversational coherence in social talk. |
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Multi-token Mask-filling and Implicit Discourse Relations (2025.findings-emnlp)
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| Challenge: | Existing mask-filling methods were ambiguous and ambiguic . a new study extends existing mask-filled methods to a discourse-level task . |
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How coherent are neural models of coherence? (2020.coling-main)
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| Challenge: | Existing approaches to model coherence are limited to small newswire corpora . evaluators need to be trained on lexical and document levels to perform evaluations . |
| Approach: | They propose four generic evaluation tasks that capture coherence-specific properties . they aim at capturing correct use of discourse connectives and lexical cohesion . |
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Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments (2020.emnlp-main)
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| Challenge: | Prior studies of coherence focused on identifying semantic relations between adjacent sentences. |
| Approach: | They propose a coherence model which takes discourse structural information into account without relying on human annotations. |
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