Papers with CorefUD

5 papers
CorefInst: Leveraging LLMs for Multilingual Coreference Resolution (2026.tacl-1)

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Challenge: Existing methods for CR are encoder-only, decoder-based and asynchronous models.
Approach: They propose a multilingual CR methodology which leverages decoder-only LLMs to handle overt and zero mentions.
Outcome: The proposed model outperforms the leading multilingual CR model by 2 percentage points across all languages in the CorefUD v1.2 dataset.
GOLEMcoref: A Multilingual Coreference Dataset of Fiction (2026.acl-short)

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Challenge: Despite considerable progress, most research still focuses predominantly on English . fictional texts bring additional challenges not covered by standard benchmark datasets .
Approach: They present a multilingual coreference dataset of 827k fanfiction tokens in 7 languages . they discuss their annotation scheme and language-specific challenges .
Outcome: The proposed dataset includes full stories of diverse lengths, ranging from 500 to 17k words.
Aligning the Norwegian UD Treebank with Entity and Coreference Information (2024.lrec-main)

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Challenge: merged corpora of entity and coreference data are presented for the two written forms of Norwegian: Bokml and Nynorsk.
Approach: They propose to combine entity and coreference data from two UD treebanks for Norwegian written forms: Bokml and Nynorsk.
Outcome: The merged corpora comprise the first Norwegian UD treebank enriched with named entities and coreference information, supporting the standardized format for the CorefUD initiative.
CorefUD 1.0: Coreference Meets Universal Dependencies (2022.lrec-1)

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Challenge: Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotized data.
Approach: They propose a multilingual collection of corpora and a standardized format for coreference resolution compatible with morphosyntactic annotations in the UD framework.
Outcome: The proposed framework is compatible with morphosyntactic annotations and includes facilities for related tasks such as named entity recognition.
Investigating Multilingual Coreference Resolution by Universal Annotations (2023.findings-emnlp)

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Challenge: Existing systems for multilingual coreference resolution have been challenging due to linguistic diversity and complexity of different languages.
Approach: They propose a multilingual coreference dataset with universal morphosyntactic and coreference annotations.
Outcome: The proposed dataset improves the baseline system by 0.9% . the proposed dataset is based on the framework of Universal Dependencies 2 .

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