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# Combined discourse representations: Coherence relations and questions under Discussion

**Authors:** [Arndt Riester](https://md.mova.elamur.ai/free/en/docs/papers/authors/arndt-riester/), Amalia Canes Nápoles, Jet Hoek · **Year:** 2021 · **Venue:** DiscAnn 2021 (Workshop on Integrating Perspectives on Discourse Annotation) **Link:** [aclanthology.org/2021.discann-1.5](https://aclanthology.org/2021.discann-1.5/) · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

[**3** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/riester-2021-combined-discourse-representations-coherence-relations/) of the 140673 papers whose bibliographies we read[Proceedings of the First Workshop on Integrating Perspectives on Discourse Annotation](https://aclanthology.org/volumes/2021.discann-1/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/2021.discann-1.5/)
- [PDF](https://aclanthology.org/2021.discann-1.5.pdf)

**Authors (3)**

1. Arndt Riester
2. Amalia Canes Nápoles
3. Jet Hoek

Citations and author metrics from OpenAlex (); authors with the same name are not always told apart.

## What it is about

A short paper that analyses one passage (a section of a 2004 political keynote) three ways: with the Cognitive approach to Coherence Relations (CCR), with RST, and as a QUD tree. CCR and RST found the same 31 clause-level segments; the QUD analysis found 47, because every phrase with its own focus becomes a unit (appositions such as «Barack, or "blessed"», and NP/VP coordinations), while an adjunct clause carrying only given information («While studying here, my father met my mother») is not split off but becomes part of the question's background. Coherence relations map onto QUD trees: a subordinating relation such as REASON becomes a subordinated *why*-QUD; coordinating relations (LIST, JOINT) become sibling answers under one QUD; CONTRAST and SEQUENCE need subquestions with contrastive topics (each event at its own topic time); a CONCESSION that the QUD tree misses can be added as a link between question nodes.

## Ideas

- I1. Read Mova's frame links as QUDs, using the paper's mapping, so that `world/src/qud.rs` and the frame reader share one structure: a `cause` link = a *why*-QUD on the effect frame, answered by the cause frame; a run of `next` links = sibling answers under «what did X do (then)?», each with its own topic time. A *why* question in a course is then answered by walking the same edge. Check that every `cause` link in the frame bench gold yields a QUD the stack accepts.
- I2. Treat an appositive or parenthetical inside a sentence as answering a subquestion, not the main QUD (non-at-issue). The frame reader's appositions (coref `appos` sieve; `appos-quote` repair in `prag/src/frames.rs`) should not compete as answers to the sentence's QUD in the student. Count course errors where the winning frame came from an apposition.
- I3. Do not split off an adjunct clause that only repeats given information: a *while/when*-clause whose event already exists as a frame should link to that frame (as its time) instead of creating a new event. Measure duplicate event frames on the frame bench («next» precision) with and without the merge.

## For Mova

[36. Discourse relations and coherence](https://md.mova.elamur.ai/free/en/docs/languages/en/36-discourse-relations/) §3, §9, §11 (RST, QUD, links between frames), `29-ellipsis-word-order-information-structure.md`. Code: `world/src/qud.rs`, `prag/src/frames.rs` (cause/next links, appositions, when-clauses), `world/src/knowledge.rs`. Measures: frame bench cause/next F1; course answers from apposition frames.

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

## Cite

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

```
@inproceedings{riester2021combined,
  title = {{Combined discourse representations: Coherence relations and questions under Discussion}},
  author = {Riester, Arndt and Nápoles, Amalia Canes and Hoek, Jet},
  booktitle = {Proceedings of the First Workshop on Integrating Perspectives on Discourse Annotation},
  year = {2021},
  url = {https://aclanthology.org/2021.discann-1.5/}
}
```

- [← previous A Lexical Process Model of Nominal Compounding in English](https://md.mova.elamur.ai/free/en/docs/papers/rhyne-1975-lexical-process-model-nominal-compounding/)
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