Papers with neural coreference system
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods (N18-2)
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| Challenge: | Existing methods for co-reference resolution focus on gender bias. |
| Approach: | They propose a new benchmark for co-reference resolution focused on gender bias, WinoBias. |
| Outcome: | The proposed system removes the bias without significantly affecting performance on existing datasets. |
GOLEMcoref: A Multilingual Coreference Dataset of Fiction (2026.acl-short)
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Andreas Van Cranenburgh, Xiaoyan Yang, null Alvanita, Cecilia Nicole Di Domenico, Maria Ferragud, Arianna Graciotti, Byungjun Kim, Seonyeong Park, Noa Visser Solissa, Xiaoyu Zhou, Federico Pianzola
| Challenge: | Despite considerable progress, most research still focuses predominantly on English . fictional texts bring additional challenges not covered by standard benchmark datasets . |
| Approach: | They present a multilingual coreference dataset of 827k fanfiction tokens in 7 languages . they discuss their annotation scheme and language-specific challenges . |
| Outcome: | The proposed dataset includes full stories of diverse lengths, ranging from 500 to 17k words. |