4 citations · 5 across the 5 of their papers we have counts for
12 papers · 1 filter
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…
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
Jakub Šmíd, Pavel Přibáň, Ondřej Pražák +1
In this paper, we introduce a novel Czech dataset for aspect-based sentiment analysis (ABSA), which consists of 3.1K manually annotated reviews from the restaurant domain. The data…
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…
Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUD
Ondřej Pražák, Miloslav Konopík, Pavel Král
Coreference resolution, the task of identifying expressions in text that refer to the same entity, is a critical component in various natural language processing applications. This…
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model
Pavel Přibáň, Ondřej Pražák
This paper presents a series of approaches aimed at enhancing the performance of Aspect-Based Sentiment Analysis (ABSA) by utilizing extracted semantic information from a Semantic…