activity
20222026
most citedFindings of the Shared Task on Multilingual Coreference Resolution

9 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Introducing corpora Hlava Cor and Hlava AD: Human Label Variation in Coreference and Discourse Relations

Anna Nedoluzhko, Šárka Zikánová, Jiří Mírovský +2

As previous research on annotator disagreement in discourse phenomena has shown, understanding text coherence varies considerably from one individual to another. To explore this ph…

cs.CL2026

Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities

Michal Novák, Miloslav Konopík, Anna Nedoluzhko +6

This paper describes the fifth edition of the Shared Task on Multilingual Coreference Resolution, held in conjunction with the CODI-CRAC 2026 workshop. Building on previous iterati…

cs.CL2025

Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?

Michal Novák, Miloslav Konopík, Anna Nedoluzhko +6

The paper presents an overview of the fourth edition of the Shared Task on Multilingual Coreference Resolution, organized as part of the CODI-CRAC 2025 workshop. As in the previous…

cs.CL2024★ 3 cited

Findings of the Third Shared Task on Multilingual Coreference Resolution

Michal Novák, Barbora Dohnalová, Miloslav Konopík +7

The paper presents an overview of the third edition of the shared task on multilingual coreference resolution, held as part of the CRAC 2024 workshop. Similarly to the previous two…

cs.CL2022★ 9 cited

Findings of the Shared Task on Multilingual Coreference Resolution

Zdeněk Žabokrtský, Miloslav Konopík, Anna Nedoluzhko +7

This paper presents an overview of the shared task on multilingual coreference resolution associated with the CRAC 2022 workshop. Shared task participants were supposed to develop…

cs.CL2022

ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation

Peter Polák, Muskaan Singh, Anna Nedoluzhko +1

Summarization is a challenging problem, and even more challenging is to manually create, correct, and evaluate the summaries. The severity of the problem grows when the inputs are…