CorPipe at CRAC 2025: Evaluating Multilingual Encoders for Multilingual Coreference Resolution
- URL: http://arxiv.org/abs/2509.17858v2
- Date: Thu, 06 Nov 2025 08:02:58 GMT
- Title: CorPipe at CRAC 2025: Evaluating Multilingual Encoders for Multilingual Coreference Resolution
- Abstract summary: CorPipe 25 is the winning entry in the CRAC 2025 Shared Task on Multilingual Coreference Resolution.<n>Our system significantly outperforms all other submissions in both the LLM and unconstrained tracks by a substantial margin of 8 percentage points.
- Score: 0.6671865055671308
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present CorPipe 25, the winning entry to the CRAC 2025 Shared Task on Multilingual Coreference Resolution. This fourth iteration of the shared task introduces a new LLM track alongside the original unconstrained track, features reduced development and test sets to lower computational requirements, and includes additional datasets. CorPipe 25 represents a complete reimplementation of our previous systems, migrating from TensorFlow to PyTorch. Our system significantly outperforms all other submissions in both the LLM and unconstrained tracks by a substantial margin of 8 percentage points. The source code and trained models are publicly available at https://github.com/ufal/crac2025-corpipe.
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