GOLEMcoref: A Multilingual Coreference Dataset of Fiction
Andreas van Cranenburgh University of Groningen, Xiaoyan Yang, Alvanita Coventry University and Universitas Gadjah Mada, Cecilia Nicole Di Domenico University of Groningen, Fondazione Bruno Kessler and Università di Trento, Maria Ferragud, Arianna Graciotti, Andreea Gabriela Ion, Byungjun Kim The Academy of Korean Studies 等 12 位作者
原文摘要
We present a multilingual coreference dataset of 827k tokens of fiction in 7 languages: Bahasa Indonesia, Chinese, Dutch, English, Italian, Korean, and Spanish. The dataset includes full stories of diverse lengths, ranging from 500 to 17k words. We discuss our annotation scheme focusing on characters and language-specific challenges we encountered. Finally we present evaluation results of a neural coreference system trained on our dataset. We show that jointly training a system across all languages provides a strong improvement over monolingually trained models. The dataset is available under a creative commons license in CoNLL-2012 and CorefUD format at https://github.com/GOLEM-lab/GOLEMcoref/
cs.CL
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · 2026 · 正式发表