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# DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

**Authors:** [Lasha Abzianidze](https://md.mova.elamur.ai/free/en/docs/papers/authors/lasha-abzianidze/), [Johan Bos](https://md.mova.elamur.ai/free/en/docs/papers/authors/johan-bos/), [Stephan Oepen](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-oepen/) · **Year:** 2020 · **Venue:** Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing **Link:** [aclanthology.org/2020.conll-shared.2](https://aclanthology.org/2020.conll-shared.2/) · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

[**5** citations](https://openalex.org/works?filter=cites:W3098894174) openalex-snapshot · 2026-10-14[**6** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/abzianidze-2020-drs-mrp-2020-dressing-up/) of the 140673 papers whose bibliographies we read[Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing](https://aclanthology.org/volumes/2020.conll-shared/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/2020.conll-shared.2/)
- [PDF](https://aclanthology.org/2020.conll-shared.2.pdf)
- [DOI 10.18653/v1/2020.conll-shared.2](https://doi.org/10.18653/v1/2020.conll-shared.2)
- [OpenAlex](https://openalex.org/W3098894174)

**Authors (3)**

1. [Lasha Abzianidze](https://openalex.org/A5071765023) [ORCID](https://orcid.org/0000-0003-4169-2202) · [Semantic Scholar](https://www.semanticscholar.org/author/2453967) · h 12 · 526 citations · 44 works
2. [Johan Bos](https://openalex.org/A5002288369) [ORCID](https://orcid.org/0000-0002-9079-5438) · [Semantic Scholar](https://www.semanticscholar.org/author/3461596) · h 35 · 4509 citations · 180 works
3. [Stephan Oepen](https://openalex.org/A5058412010) [Semantic Scholar](https://www.semanticscholar.org/author/2949607) · h 35 · 3542 citations · 215 works

Citations and author metrics from openalex-snapshot (2026-10-14); authors with the same name are not always told apart.

## What it is about

DRSs are nested boxes, but the 2020 shared task needed directed labelled graphs, so the authors describe how a DRS can be turned into a graph. They characterise thirteen encodings. They differ in how box membership is shown (implicit or explicit), whether nodes or edges carry the concepts, and whether argument positions are marked with extra labels. Encodings are compared through the maximum common edge subgraph score against gold graphs from the PMB. The chosen encoding is lossy but has at least 23% fewer edges than the alternatives, and it keeps explicit box membership for predicates while the in-box relation is left implicit. All 885 gold DRSs of the development set convert without error. A few parser outputs with inconsistent senses cannot be converted, because the lossy step rejects them.

## Ideas

- I1. Compare meta-world encodings by the score they give, not by size alone: write the meta-world as a graph with and without explicit scope, and score a parser's output against gold with the same MCES-style tool.
- I2. Accept a lossy encoding only where the round trip is exact on gold. In exact mode the encoder should refuse a lossy step. The paper's practice of checking convertibility on all gold data is a check to copy.
- I3. Count edges per encoding on the verse set. The 23% saving is a number to reproduce on Mova's world before adopting a larger encoding.

## For Mova

The code is `tools/translate` in exact mode and the meta-world encoding. Explicit against implicit box membership is the same question as open problem 4 (boundaries and function words as features rather than tokens), so I1 is a way to settle it by score. The graph format itself is not for Mova.

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

## Cite

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.18653/v1/2020.conll-shared.2](https://doi.org/10.18653/v1/2020.conll-shared.2)

```
@inproceedings{abzianidze2020drs,
  title = {{DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs}},
  author = {Abzianidze, Lasha and Bos, Johan and Oepen, Stephan},
  booktitle = {Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing},
  year = {2020},
  doi = {10.18653/v1/2020.conll-shared.2},
  url = {https://doi.org/10.18653/v1/2020.conll-shared.2}
}
```

- [← previous The First Shared Task on Discourse Representation Structure Parsing](https://md.mova.elamur.ai/free/en/docs/papers/abzianidze-2019-first-shared-task-discourse-representation/)
- [next → The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages](https://md.mova.elamur.ai/free/en/docs/papers/abzianidze-2020-parallel-meaning-bank-framework-semantically/)
- [↑ back to Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/mtrans/)

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