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# The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

**Authors:** [Sopan Khosla](https://md.mova.elamur.ai/free/en/docs/papers/authors/sopan-khosla/), [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/), [Ramesh Manuvinakurike](https://md.mova.elamur.ai/free/en/docs/papers/authors/ramesh-manuvinakurike/), [Vincent Ng](https://md.mova.elamur.ai/free/en/docs/papers/authors/vincent-ng/), [Massimo Poesio](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimo-poesio/), [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/), [Carolyn Rosé](https://md.mova.elamur.ai/free/en/docs/papers/authors/carolyn-rose/) · **Year:** 2021 · **Venue:** Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue **Link:** [aclanthology.org/2021.codi-sharedtask.1](https://aclanthology.org/2021.codi-sharedtask.1/) · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) (ACL Anthology)

[**22** citations](https://openalex.org/works?filter=cites:W3213186189) openalex · 2026-10-18[**25** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/khosla-2021-codi-crac-2021-shared-task/) of the 140673 papers whose bibliographies we read[Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://aclanthology.org/volumes/2021.codi-sharedtask/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/2021.codi-sharedtask.1/)
- [PDF](https://aclanthology.org/2021.codi-sharedtask.1.pdf)
- [DOI 10.18653/v1/2021.codi-sharedtask.1](https://doi.org/10.18653/v1/2021.codi-sharedtask.1)
- [OpenAlex](https://openalex.org/W3213186189)

**Authors (7)**

1. [Sopan Khosla](https://openalex.org/A5025458684) h 9 · 283 citations · 46 works
2. [Juntao Yu](https://openalex.org/A5003328793) [ORCID](https://orcid.org/0000-0001-7971-9154) · h 13 · 954 citations · 47 works
3. [Ramesh Manuvinakurike](https://openalex.org/A5052454382) h 11 · 274 citations · 46 works
4. [Vincent Ng](https://openalex.org/A5004305684) [ORCID](https://orcid.org/0000-0002-5114-3883) · h 46 · 8585 citations · 290 works
5. [Massimo Poesio](https://openalex.org/A5047065550) [ORCID](https://orcid.org/0000-0001-8469-2072) · h 47 · 10176 citations · 588 works
6. [Michael Strube](https://openalex.org/A5020347604) [ORCID](https://orcid.org/0000-0002-4731-8142) · h 74 · 20807 citations · 485 works
7. [Carolyn Rosé](https://openalex.org/A5089539629) [ORCID](https://orcid.org/0000-0003-1128-5155) · h 54 · 12897 citations · 499 works

Citations and author metrics from openalex (2026-10-18); authors with the same name are not always told apart.

## What it is about

The shared task asks systems to find anaphoric relations in conversation, a genre that OntoNotes-style corpora barely cover. Three tasks are set: identity coreference (including split-antecedent plurals), bridging references, and discourse deixis. The data are four newly annotated dialogue corpora (AMI meetings, LIGHT fantasy-game dialogues, PERSUASION conversations, SWITCHBOARD telephone talks) with the ARRAU scheme, plus the TRAINS dialogues from ARRAU for training. The new part has 147,725 tokens and 41,807 markables in total. Annotation is in MMAX with mentions from a mention detector, and scoring uses the Universal Anaphora CoNLL-U extension and its scorer. The paper reports 115 runs from six teams, with most systems beating the baselines. This card rests on the paper's introduction, data and task sections; I did not verify the per-task results tables.

## Ideas

- I1. Dialogue markables for Mova: count the discourse-deictic cases ("that", "this" referring to an event or fact) in dialogue lessons in `coref/`, and score them with a separate measure, since the identity scorer cannot see them.
- I2. Split-antecedent plurals as a rule in `coref/src/sieve.rs`: when a plural pronoun ("they", "both") has no single plural antecedent, search for two singular antecedents in the same sentence or the previous one and link them as one plural entity, reporting how many such links fire.
- I3. Keep the scorer separate: `coref/src/eval.rs` should report identity, bridging and discourse deixis as three numbers on a dialogue set, so that a gain on identity is not read as progress on the other relations.

## For Mova

Code: `coref/src/sieve.rs` (split antecedents, discourse deixis), `coref/src/eval.rs` (per-relation scores), `coref/src/corefud.rs` (CoNLL-U with anaphoric extensions). Chapters: [38. Dialogue, discourse markers and reported speech](https://md.mova.elamur.ai/free/en/docs/languages/en/38-dialogue-and-discourse-markers/), [36. Discourse relations and coherence](https://md.mova.elamur.ai/free/en/docs/languages/en/36-discourse-relations/), [35. Reference and coreference](https://md.mova.elamur.ai/free/en/docs/languages/en/35-reference-and-coreference/). Measure: per-relation F1 on one dialogue set (not used for tuning), run twice, and a negative control with turns shuffled, which should lower the score.

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

## Cite

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.18653/v1/2021.codi-sharedtask.1](https://doi.org/10.18653/v1/2021.codi-sharedtask.1)

```
@inproceedings{khosla2021codi,
  title = {{The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue}},
  author = {Khosla, Sopan and Yu, Juntao and Manuvinakurike, Ramesh and Ng, Vincent and Poesio, Massimo and Strube, Michael and Rosé, Carolyn},
  booktitle = {Proceedings of the CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue},
  year = {2021},
  doi = {10.18653/v1/2021.codi-sharedtask.1},
  url = {https://doi.org/10.18653/v1/2021.codi-sharedtask.1}
}
```

- [← previous Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences](https://md.mova.elamur.ai/free/en/docs/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
- [next → Implicit Discourse Relation Classification: We Need to Talk about Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/kim-2020-implicit-discourse-relation-classification-we/)
- [↑ back to English](https://md.mova.elamur.ai/free/en/docs/papers/en/)

## References

1 references, 1 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. David Bamman, Olivia Lewke, and Anya Mansoor. 2020. An annotated dataset of coreference in english literature. In Proc. of LREC. European Language Resources Association (ELRA), Association for Computational Linguistics (ACL). [find](https://scholar.google.com/scholar?q=David+Bamman%2C+Olivia+Lewke%2C+and+Anya+Mansoor%2E+2020%2E+An+annotated+dataset+of+coreference+in+english+literature%2E+In+Proc%2E+of+LREC%2E+European+Language+Resources+Association+%28ELRA%29%2C+Association+for+Computa) [our card](https://md.mova.elamur.ai/free/en/docs/papers/bamman-2020-annotated-dataset-coreference-english-literature/)
