279 citations · 316 across the 14 of their papers we have counts for
16 papers
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…
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…
Preliminary Ranking of WMT25 General Machine Translation Systems
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…
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…
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
Haoran Sun, Renren Jin, Shaoyang Xu +10
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…
Preliminary WMT24 Ranking of General MT Systems and LLMs
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +18
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking…
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation
Petra Galuščáková Romain Deveaud, Gabriela Gonzalez-Saez, Philippe Mulhem +3
LongEval-Retrieval is a Web document retrieval benchmark that focuses on continuous retrieval evaluation. This test collection is intended to be used to study the temporal persiste…
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task
Martin Popel, Jindřich Libovický, Jindřich Helcl
We present Charles University submissions to the WMT22 General Translation Shared Task on Czech-Ukrainian and Ukrainian-Czech machine translation. We present two constrained submis…
CUNI Submission in WMT22 General Task
Josef Jon, Martin Popel, Ondřej Bojar
We present the CUNI-Bergamot submission for the WMT22 General translation task. We compete in EnglishCzech direction. Our submission further explores block backtransla…
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…
Understanding Model Robustness to User-generated Noisy Texts
Jakub Náplava, Martin Popel, Milan Straka +1
Sensitivity of deep-neural models to input noise is known to be a challenging problem. In NLP, model performance often deteriorates with naturally occurring noise, such as spelling…
Neural Machine Translation Quality and Post-Editing Performance
Vilém Zouhar, Aleš Tamchyna, Martin Popel +1
We test the natural expectation that using MT in professional translation saves human processing time. The last such study was carried out by Sanchez-Torron and Koehn (2016) with p…
Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords
Tom Kocmi, Martin Popel, Ondrej Bojar
We present a new release of the Czech-English parallel corpus CzEng 2.0 consisting of over 2 billion words (2 "gigawords") in each language. The corpus contains document-level info…
English-Czech Systems in WMT19: Document-Level Transformer
Martin Popel, Dominik Macháček, Michal Auersperger +2
We describe our NMT systems submitted to the WMT19 shared task in English-Czech news translation. Our systems are based on the Transformer model implemented in either Tensor2Tensor…
CUNI System for the WMT19 Robustness Task
Jindřich Helcl, Jindřich Libovický, Martin Popel
We present our submission to the WMT19 Robustness Task. Our baseline system is the Charles University (CUNI) Transformer system trained for the WMT18 shared task on News Translatio…
Training Tips for the Transformer Model
Martin Popel, Ondřej Bojar
This article describes our experiments in neural machine translation using the recent Tensor2Tensor framework and the Transformer sequence-to-sequence model (Vaswani et al., 2017).…