---
title: "Discourse Coherence — Rohde 2018"
description: "The paper asks why readers sometimes link the same pair of discourse segments with conjunctions that seem incompatible, such as SO and OR."
authors: ["Hannah Rohde", "Alexander Johnson", "Nathan Schneider", "Bonnie Webber"]
year: 2018
venue: "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)"
source: "https://aclanthology.org/P18-1210/"
doi: "10.18653/v1/p18-1210"
licence: "CC BY 4.0 (ACL Anthology)"
licence_url: "https://creativecommons.org/licenses/by/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/rohde-2018-discourse-coherence-concurrent-explicit-implicit/"
---
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# Discourse Coherence: Concurrent Explicit and Implicit Relations

**Authors:** [Hannah Rohde](https://md.research.elamur.ai/free/en/authors/hannah-rohde/), [Alexander Johnson](https://md.research.elamur.ai/free/en/authors/alexander-johnson/), [Nathan Schneider](https://md.research.elamur.ai/free/en/authors/nathan-schneider/), [Bonnie Webber](https://md.research.elamur.ai/free/en/authors/bonnie-webber/) · **Year:** 2018 · **Venue:** Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · **Licence:** [CC BY 4.0 (ACL Anthology)](https://creativecommons.org/licenses/by/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/P18-1210/) · [PDF](https://aclanthology.org/P18-1210.pdf) · [DOI 10.18653/v1/p18-1210](https://doi.org/10.18653/v1/p18-1210) · [OpenAlex](https://openalex.org/W2798324445)

**Citations:** 22 citations (openalex-snapshot · 2026-10-14) · [18](#cited-by) in our library, of the 140673 papers whose bibliographies we read

## Summary
The paper asks why readers sometimes link the same pair of discourse segments with conjunctions that seem incompatible, such as SO and OR. Earlier work by the authors showed this happens around explicit discourse adverbials. Rohde et al. argue that these splits are not noise or annotator bias. Instead, several coherence relations hold at once: some are signalled explicitly by the adverbial, and others are inferred from the passage content.

To test this, they ran a controlled conjunction-insertion experiment. Native English speakers filled a gap before an adverbial (in other words, otherwise, instead, after all) with one or more conjunctions. Some passages were deliberately altered, for example by making them more parallel or more causal, or by removing the adverbial. The results show that conjunction choices follow from two sources:
- the lexical semantics of the adverbial;
- properties of the surrounding text.

This matters for annotation and parsing. Resources like the PDTB do not record an inferred relation alongside an explicit adverbial, and most parsers assume one relation per segment pair.

## Key points
- **Participants and setup:** 28 pre-screened monolingual English speakers (paid £50) saw passages in batches of 34 over three days. The choices were AND, BECAUSE, BUT, OR, SO and NONE, and 6 catch trials checked data quality.
- **Materials:** 16 passages each with in other words, instead and after all, plus 48 with otherwise. The passages are released via the ACL Anthology "dataset" link.
- **Instead:** parallel variants drew more BUT, while causal variants drew significantly more SO (β = −7.0008, p \< 0.001).
- **After all:** removing the adverbial barely changed responses (R² = .70, F(1,13) = 30.98, p \< 0.001), with passage G as the single outlier.
- **Otherwise:** participant paraphrases largely matched researcher-assigned senses (ARGUMENTATION 91.5%, ENUMERATION 81.4%, EXCEPTION 87.7%).

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/)

Topics: [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/)

## Cited by

Cited by

18 papers of our library cite it (of the 140673 whose bibliographies we read); 6 of them have a page here, 12 not yet.

- [Is there less annotator agreement when the discourse relation is underspecified?](https://md.research.elamur.ai/free/en/papers/hoek-2021-is-there-less-annotator-agreement/)
- [Extending Implicit Discourse Relation Recognition to the PDTB-3](https://md.research.elamur.ai/free/en/papers/liang-2020-extending-implicit-discourse-relation-recognition/)
- [Multi-Label Classification for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/long-2024-multi-label-classification-implicit-discourse/)
- [QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/)
- [Unpacking Ambiguous Structure: A Dataset for Ambiguous Implicit Discourse Relations for English and Egyptian Arabic](https://md.research.elamur.ai/free/en/papers/ruby-2023-unpacking-ambiguous-structure-dataset-ambiguous/)
- [A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis](https://md.research.elamur.ai/free/en/papers/wu-2023-multi-task-dataset-assessing-discourse/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{rohde2018discourse,
  title = {{Discourse Coherence: Concurrent Explicit and Implicit Relations}},
  author = {Rohde, Hannah and Johnson, Alexander and Schneider, Nathan and Webber, Bonnie},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  year = {2018},
  doi = {10.18653/v1/p18-1210},
  url = {https://doi.org/10.18653/v1/p18-1210}
}
```

- [← previous Discourse Coherence in the Wild: A Dataset, Evaluation and Methods](https://md.research.elamur.ai/free/en/papers/lai-2018-discourse-coherence-wild-dataset-evaluation/)
- [next → Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/)
- [↑ back to papers of 2018](https://md.research.elamur.ai/free/en/papers/2018/page/2/)

## References

26 references, 9 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. M.J. Cuenca and M.J. Marin. 2009. Co-occurrence of discourse markers in Catalan and Spanish oral narrative. Journal of Pragmatics, 41(5):899–914. [find](https://scholar.google.com/scholar?q=M%2EJ%2E+Cuenca+and+M%2EJ%2E+Marin%2E+2009%2E+Co%2Doccurrence+of+discourse+markers+in+Catalan+and+Spanish+oral+narrative%2E+Journal+of+Pragmatics%2C+41%285%29%3A899%E2%80%93914%2E)
2. Jesse Dunietz, Lori Levin, and Jaime Carbonell. 2017. The BECauSE Corpus 2.0: Annotating causality and overlapping relations. In Proceedings of the 11th Linguistic Annotation Workshop, pages 95–104, Valencia, Spain. [find](https://scholar.google.com/scholar?q=Jesse+Dunietz%2C+Lori+Levin%2C+and+Jaime+Carbonell%2E+2017%2E+The+BECauSE+Corpus+2%2E0%3A+Annotating+causality+and+overlapping+relations%2E+In+Proceedings+of+the+11th+Linguistic+Annotation+Workshop%2C+pages+95%E2%80%93104%2C+V)
3. Vanessa Wei Feng and Graeme Hirst. 2012. Text-level discourse parsing with rich linguistic features. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 60–68, Jeju Island, Korea. [find](https://scholar.google.com/scholar?q=Vanessa+Wei+Feng+and+Graeme+Hirst%2E+2012%2E+Text%2Dlevel+discourse+parsing+with+rich+linguistic+features%2E+In+Proceedings+of+the+50th+Annual+Meeting+of+the+Association+for+Computational+Linguistics%2C+pages+6) [our card](https://md.research.elamur.ai/free/en/papers/feng-2012-text-level-discourse-parsing-rich/)
4. Bruce Fraser. 2013. Combinations of contrastive discourse markers in English. International Review of Pragmatics, 5:318–340. [find](https://scholar.google.com/scholar?q=Bruce+Fraser%2E+2013%2E+Combinations+of+contrastive+discourse+markers+in+English%2E+International+Review+of+Pragmatics%2C+5%3A318%E2%80%93340%2E)
5. Barbara Grosz and Candace Sidner. 1986. Attention, intention and the structure of discourse. Computational Linguistics, 12(3):175–204. [find](https://scholar.google.com/scholar?q=Barbara+Grosz+and+Candace+Sidner%2E+1986%2E+Attention%2C+intention+and+the+structure+of+discourse%2E+Computational+Linguistics%2C+12%283%29%3A175%E2%80%93204%2E)
6. Michael Halliday and Ruqaiya Hasan. 1976. Cohesion in English. Longman. [find](https://scholar.google.com/scholar?q=Michael+Halliday+and+Ruqaiya+Hasan%2E+1976%2E+Cohesion+in+English%2E+Longman%2E)
7. Yangfeng Ji and Jacob Eisenstein. 2014. Representation learning for text-level discourse parsing. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, volume 1, pages 13–24, Baltimore, Maryland. [find](https://scholar.google.com/scholar?q=Yangfeng+Ji+and+Jacob+Eisenstein%2E+2014%2E+Representation+learning+for+text%2Dlevel+discourse+parsing%2E+In+Proceedings+of+the+52nd+Annual+Meeting+of+the+Association+for+Computational+Linguistics%2C+volume+1%2C+) [our card](https://md.research.elamur.ai/free/en/papers/ji-2014-representation-learning-text-level-discourse/)
8. Alistair Knott. 1996. A Data-driven Methodology for Motivating a Set of Coherence Relations. Ph.D. dissertation, Department of Artificial Intelligence, University of Edinburgh. [find](https://scholar.google.com/scholar?q=Alistair+Knott%2E+1996%2E+A+Data%2Ddriven+Methodology+for+Motivating+a+Set+of+Coherence+Relations%2E+Ph%2ED%2E+dissertation%2C+Department+of+Artificial+Intelligence%2C+University+of+Edinburgh%2E)
9. Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2014. A PDTB-styled end-to-end discourse parser. Natural Language Engineering, pages 151–184. [find](https://scholar.google.com/scholar?q=Ziheng+Lin%2C+Hwee+Tou+Ng%2C+and+Min%2DYen+Kan%2E+2014%2E+A+PDTB%2Dstyled+end%2Dto%2Dend+discourse+parser%2E+Natural+Language+Engineering%2C+pages+151%E2%80%93184%2E)
10. William C. Mann, Christian M. I. M. Matthiessen, and Sandra A. Thompson. 1989. Rhetorical structure theory and text analysis. Technical Report ISI/RR-89-242, USC-ISI, Marina del Rey CA. [find](https://scholar.google.com/scholar?q=William+C%2E+Mann%2C+Christian+M%2E+I%2E+M%2E+Matthiessen%2C+and+Sandra+A%2E+Thompson%2E+1989%2E+Rhetorical+structure+theory+and+text+analysis%2E+Technical+Report+ISI%2FRR%2D89%2D242%2C+USC%2DISI%2C+Marina+del+Rey+CA%2E)
11. William C. Mann and Sandra A. Thompson. 1988. Rhetorical Structure Theory: Toward a functional theory of text organization. Text, 8(3):243–281. [find](https://scholar.google.com/scholar?q=William+C%2E+Mann+and+Sandra+A%2E+Thompson%2E+1988%2E+Rhetorical+Structure+Theory%3A+Toward+a+functional+theory+of+text+organization%2E+Text%2C+8%283%29%3A243%E2%80%93281%2E) [our card](https://md.research.elamur.ai/free/en/papers/enud-1988-mann-rhetorical-structure-theory-functional/)
12. Rashmi Prasad, Nikhil Dinesh, Alan Lee, Eleni Milt-sakaki, Livio Robaldo, Aravind Joshi, and Bonnie Webber. 2008. The Penn Discourse TreeBank 2.0. In Proceedings of the 6th International Conference on Language Resources and Evaluation, pages 2961–2968, Marrakech, Morocco. [find](https://scholar.google.com/scholar?q=Rashmi+Prasad%2C+Nikhil+Dinesh%2C+Alan+Lee%2C+Eleni+Milt%2Dsakaki%2C+Livio+Robaldo%2C+Aravind+Joshi%2C+and+Bonnie+Webber%2E+2008%2E+The+Penn+Discourse+TreeBank+2%2E0%2E+In+Proceedings+of+the+6th+International+Conference+on) [our card](https://md.research.elamur.ai/free/en/papers/disc-2008-prasad-penn-discourse-treebank-2-0/)
13. Rashmi Prasad, Bonnie Webber, and Aravind Joshi. 2014. Reflections on the Penn Discourse TreeBank, comparable corpora and complementary annotation. Computational Linguistics, 40(4):921–950. [find](https://scholar.google.com/scholar?q=Rashmi+Prasad%2C+Bonnie+Webber%2C+and+Aravind+Joshi%2E+2014%2E+Reflections+on+the+Penn+Discourse+TreeBank%2C+comparable+corpora+and+complementary+annotation%2E+Computational+Linguistics%2C+40%284%29%3A921%E2%80%93950%2E) [our card](https://md.research.elamur.ai/free/en/papers/prasad-2014-reflections-penn-discourse-treebank-comparable/)
14. Hannah Rohde, Anna Dickinson, Chris Clark, Annie Louis, and Bonnie Webber. 2015. Recovering discourse relations: Varying influence of discourse adverbials. In Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics, pages 22–31, Lisbon,… [find](https://scholar.google.com/scholar?q=Hannah+Rohde%2C+Anna+Dickinson%2C+Chris+Clark%2C+Annie+Louis%2C+and+Bonnie+Webber%2E+2015%2E+Recovering+discourse+relations%3A+Varying+influence+of+discourse+adverbials%2E+In+Proceedings+of+the+First+Workshop+on+Link) [our card](https://md.research.elamur.ai/free/en/papers/rohde-2015-recovering-discourse-relations-varying-influence/)
15. Hannah Rohde, Anna Dickinson, Nathan Schneider, Christopher Clark, Annie Louis, and Bonnie Webber. 2016. Filling in the blanks in understanding discourse adverbials: Consistency, conflict, and context-dependence in a crowdsourced elicitation task. In Proceedings of the Tenth Linguistic Annotation Wo… [find](https://scholar.google.com/scholar?q=Hannah+Rohde%2C+Anna+Dickinson%2C+Nathan+Schneider%2C+Christopher+Clark%2C+Annie+Louis%2C+and+Bonnie+Webber%2E+2016%2E+Filling+in+the+blanks+in+understanding+discourse+adverbials%3A+Consistency%2C+conflict%2C+and+context)
16. Hannah Rohde, Anna Dickinson, Nathan Schneider, Annie Louis, and Bonnie Webber. 2017. Exploring substitutability through discourse adverbials and multiple judgments. In Proceedings of the 12th International Conference on Computational Semantics (IWCS), Montpellier, France. [find](https://scholar.google.com/scholar?q=Hannah+Rohde%2C+Anna+Dickinson%2C+Nathan+Schneider%2C+Annie+Louis%2C+and+Bonnie+Webber%2E+2017%2E+Exploring+substitutability+through+discourse+adverbials+and+multiple+judgments%2E+In+Proceedings+of+the+12th+Interna)
17. Merel Scholman and Vera Demberg. 2017. Crowdsourcing discourse interpretations: On the influence of context and the reliability of a connective insertion task. In Proceedings of the 11th Linguistic Annotation Workshop, pages 24–33, Valencia, Spain. [find](https://scholar.google.com/scholar?q=Merel+Scholman+and+Vera+Demberg%2E+2017%2E+Crowdsourcing+discourse+interpretations%3A+On+the+influence+of+context+and+the+reliability+of+a+connective+insertion+task%2E+In+Proceedings+of+the+11th+Linguistic+An)
18. Manfred Stede. 2012. Discourse Processing. Morgan & Claypool Publishers. [find](https://scholar.google.com/scholar?q=Manfred+Stede%2E+2012%2E+Discourse+Processing%2E+Morgan+%26+Claypool+Publishers%2E)
19. Bonnie Webber. 2013. What excludes an alternative in coherence relations? In Proceedings of the 10th International Conference on Computational Semantics, Potsdam, Germany. [find](https://scholar.google.com/scholar?q=Bonnie+Webber%2E+2013%2E+What+excludes+an+alternative+in+coherence+relations%3F+In+Proceedings+of+the+10th+International+Conference+on+Computational+Semantics%2C+Potsdam%2C+Germany%2E) [our card](https://md.research.elamur.ai/free/en/papers/webber-2013-what-excludes-alternative-coherence-relations/)
20. Daniel Marcu. 2000. The theory and practice of discourse parsing and summarization. MIT Press. [find](https://scholar.google.com/scholar?q=Daniel+Marcu%2E+2000%2E+The+theory+and+practice+of+discourse+parsing+and+summarization%2E+MIT+Press%2E)
21. Bonnie Webber, Aravind Joshi, and Alistair Knott. 2000. The anaphoric nature of certain discourse connectives. In Making Sense: From Lexeme to Discourse, Groningen, The Netherlands. [find](https://scholar.google.com/scholar?q=Bonnie+Webber%2C+Aravind+Joshi%2C+and+Alistair+Knott%2E+2000%2E+The+anaphoric+nature+of+certain+discourse+connectives%2E+In+Making+Sense%3A+From+Lexeme+to+Discourse%2C+Groningen%2C+The+Netherlands%2E)
22. Eleni Miltsakaki, Nikhil Dinesh, Rashmi Prasad, Aravind Joshi, and Bonnie Webber. 2005. Experiments on sense annotation and sense disambiguation of discourse connectives. In Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories (TLT’05), Barcelona, Spain. [find](https://scholar.google.com/scholar?q=Eleni+Miltsakaki%2C+Nikhil+Dinesh%2C+Rashmi+Prasad%2C+Aravind+Joshi%2C+and+Bonnie+Webber%2E+2005%2E+Experiments+on+sense+annotation+and+sense+disambiguation+of+discourse+connectives%2E+In+Proceedings+of+the+Fourth+)
23. Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Rashmi Prasad, Christopher Bryant, and Attapol T. Rutherford. 2015. The CoNLL-2015 Shared Task on Shallow Discourse Parsing. In Proceedings of the Nineteenth Conference on Computational Language Learning: Shared Task, pages 1–16, Beijing, China. [find](https://scholar.google.com/scholar?q=Nianwen+Xue%2C+Hwee+Tou+Ng%2C+Sameer+Pradhan%2C+Rashmi+Prasad%2C+Christopher+Bryant%2C+and+Attapol+T%2E+Rutherford%2E+2015%2E+The+CoNLL%2D2015+Shared+Task+on+Shallow+Discourse+Parsing%2E+In+Proceedings+of+the+Nineteenth+) [our card](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/)
24. Johanna Moore and Martha Pollack. 1992. A problem for RST: The need for multi-level discouse analysis. Computational Linguistics, 18(4):537–544. [find](https://scholar.google.com/scholar?q=Johanna+Moore+and+Martha+Pollack%2E+1992%2E+A+problem+for+RST%3A+The+need+for+multi%2Dlevel+discouse+analysis%2E+Computational+Linguistics%2C+18%284%29%3A537%E2%80%93544%2E)
25. Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, Attapol Rutherford, Bonnie Webber, Chuan Wang, and Hongmin Wang. 2016. [find](https://scholar.google.com/scholar?q=Nianwen+Xue%2C+Hwee+Tou+Ng%2C+Sameer+Pradhan%2C+Attapol+Rutherford%2C+Bonnie+Webber%2C+Chuan+Wang%2C+and+Hongmin+Wang%2E+2016%2E)
26. CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing. In Proceedings of the 20th Conference on Computational Natural Language Learning – Shared Task, pages 1– 19, Berlin, Germany. [find](https://scholar.google.com/scholar?q=CoNLL+2016+Shared+Task+on+Multilingual+Shallow+Discourse+Parsing%2E+In+Proceedings+of+the+20th+Conference+on+Computational+Natural+Language+Learning+%E2%80%93+Shared+Task%2C+pages+1%E2%80%93+19%2C+Berlin%2C+Germany%2E) [our card](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/)