---
title: "ParCorFull2.0 — Lapshinova-Koltunski 2022"
description: "Translating coreference remains difficult for machine translation and other multilingual NLP systems, partly because languages use very different means…"
authors: ["Ekaterina Lapshinova-Koltunski", "Pedro Augusto Ferreira", "Elina Lartaud", "Christian Hardmeier"]
year: 2022
venue: "Proceedings of the Thirteenth Language Resources and Evaluation Conference"
source: "https://aclanthology.org/2022.lrec-1.85/"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/papers/koltunski-2022-parcorfull2-0-parallel-corpus-annotated/"
---
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# ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference

**Authors:** [Ekaterina Lapshinova-Koltunski](https://md.research.elamur.ai/free/authors/ekaterina-lapshinova-koltunski/), Pedro Augusto Ferreira, Elina Lartaud, [Christian Hardmeier](https://md.research.elamur.ai/free/authors/christian-hardmeier/) · **Year:** 2022 · **Venue:** Proceedings of the Thirteenth Language Resources and Evaluation Conference · **Licence:** [CC BY-NC 4.0 (ELRA, LREC proceedings)](https://creativecommons.org/licenses/by-nc/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2022.lrec-1.85/) · [PDF](https://aclanthology.org/2022.lrec-1.85.pdf)

**Citations:** [7](#cited-by) in our library, of the 140673 papers whose bibliographies we read

## Summary
Translating coreference remains difficult for machine translation and other multilingual NLP systems, partly because languages use very different means to refer back to entities and events. This paper presents ParCorFull2.0, an expanded version of the ParCorFull corpus. The original resource paired English source texts with German translations. The new release adds French and Portuguese translations, introducing Romance-language phenomena absent from the first version. The annotation is "full": it covers pronouns, nominal phrases, verb phrases and clauses, and it links both entity and event coreference. Supporting the two new languages required revising the guidelines, especially for clitics, object pronouns, relative pronouns and reflexives. A new category for zero anaphors was also needed, because Portuguese is a pro-drop language. A multilingual example shows how one chain is realised differently across the four languages, for instance through possessives, reflexives or omitted subjects. The resource is aimed at developers of coreference-aware MT and multilingual NLP, and also at contrastive linguists and translation-studies researchers.

## Key points
- ParCorFull2.0 covers the pairs English–German, English–French and English–Portuguese, with English as the source language of all texts.
- Annotation builds on the guidelines of Lapshinova-Koltunski and Hardmeier (2017) and uses the MMAX2 tool. The French guidelines were reused for Portuguese.
- Markables include pronouns, NPs and elliptical forms, plus VPs and clauses serving as event antecedents. Split antecedents and missing antecedents are allowed.
- A new zero-anaphora category handles Portuguese pro-drop. Clitic pronouns in both Romance languages required changes to how mentions are selected.
- The data is on GitHub (chardmeier/parcor-full), with a LINDAT release planned. The paper also surveys related corpora such as ARRAU, GUM, OntoNotes, ANCOR, Democrat, Summ-it and Corref-PT.

*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/shelves/linguistics/)

Topics: [Coreference resolution](https://md.research.elamur.ai/free/topics/coreference-resolution/)

## Cited by

Cited by

7 papers of our library cite it (of the 140673 whose bibliographies we read); 1 of them have a page here, 6 not yet.

- [Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective](https://md.research.elamur.ai/free/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/)

## Cite

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

```bibtex
@inproceedings{lapshinovakoltunski2022parcorfull2,
  title = {{ParCorFull2.0: a Parallel Corpus Annotated with Full Coreference}},
  author = {Lapshinova-Koltunski, Ekaterina and Ferreira, Pedro Augusto and Lartaud, Elina and Hardmeier, Christian},
  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
  year = {2022},
  url = {https://aclanthology.org/2022.lrec-1.85/}
}
```

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## References

8 references, 2 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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