activity
20202026
most citedFindings of the Shared Task on Multilingual Coreference Resolution

9 citations · 23 across the 9 of their papers we have counts for

collaborators

10 papers

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.LG2023★ 1 cited

ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks

Michal Seják, Jakub Sido, David Žahour

Electrocardiograms (ECGs) are commonly used by cardiologists to detect heart-related pathological conditions. Reliable collections of ECGs are crucial for precise diagnosis. Howeve…

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

MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain

Jan Pašek, Jakub Sido, Miloslav Konopík +1

This work proposes a new pipeline for leveraging data collected on the Stack Overflow website for pre-training a multimodal model for searching duplicates on question answering web…

cs.CL2021★ 1 cited

Czech News Dataset for Semantic Textual Similarity

Jakub Sido, Michal Seják, Ondřej Pražák +2

This paper describes a novel dataset consisting of sentences with semantic similarity annotations. The data originate from the journalistic domain in the Czech language. We describ…

cs.CL2021★ 1 cited

Multilingual Coreference Resolution with Harmonized Annotations

Ondřej Pražák, Miloslav Konopík, Jakub Sido

In this paper, we present coreference resolution experiments with a newly created multilingual corpus CorefUD. We focus on the following languages: Czech, Russian, Polish, German,…

cs.CL2021★ 8 cited

Czert -- Czech BERT-like Model for Language Representation

Jakub Sido, Ondřej Pražák, Pavel Přibáň +3

This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than…

cs.CL2020

UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection

Ondřej Pražák, Pavel Přibáň, Stephen Taylor +1

In this paper, we describe our method for the detection of lexical semantic change, i.e., word sense changes over time. We examine semantic differences between specific words in tw…