File size: 3,378 Bytes
77b7d1b c5e84d4 1f32e8e 77b7d1b b32ecd5 77b7d1b 01969fe 77b7d1b 8d5df01 5cecd09 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b e95a61a 77b7d1b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
language:
- en
tags:
- coreference-resolution
- xcore
- long-document
- cross-document
- maverick
license:
- cc-by-nc-sa-4.0
datasets:
- ECB
metrics:
- CoNLL
task_categories:
- coreference-resolution
model-index:
- name: sapienzanlp/xcore-ecb
results:
- task:
type: coreference-resolution
name: coreference-resolution
dataset:
name: ECB
type: coreference
metrics:
- name: Avg. F1
type: CoNLL
value: 42.4
---
# xCoRe ECB+
Official weights for *xcore*, pretrained on LitBank and trained on ECB+, based on DeBERTa-large.
This model achieves 42.4 Avg CoNLL-F1 on ECB+.
Other available models at [SapienzaNLP huggingface hub](https://huggingface.co/collections/sapienzanlp/xcore-models):
| hf_model_name | dataset | Score | Mode |
|:-----------------------------------:|:----------------:|:-----:|:----------:|
| ["sapienzanlp/xcore-litbank"](https://huggingface.co/sapienzanlp/xcore-litbank) | [LitBank](https://aclanthology.org/2020.lrec-1.6/) | 78.2 | Long-Document (Book Splits)|
| ["sapienzanlp/xcore-ecb"](https://huggingface.co/sapienzanlp/xcore-ecb) | [ECB+](https://aclanthology.org/L14-1646/) | 42.4 | Cross-Document (News) |
| ["sapienzanlp/xcore-scico"](https://huggingface.co/sapienzanlp/xcore-scico) | [SciCo](https://arxiv.org/abs/2104.08809) | 31.0 | Cross-Document (Scientific) |
<!-- | ["sapienzanlp/xcore-litbank"](https://huggingface.co/sapienzanlp/xcore-all) | LitBank, ECB+, BookCoref_silver, SciCo, OntoNotes, PreCo | - | All datasets |-->
<!-- | ["sapienzanlp/xcore-bookcoref"](https://huggingface.co/sapienzanlp/xcore-bookcoref) | [BookCoref](https://huggingface.co/datasets/sapienzanlp/bookcoref) | 62.3 | Single Document (Full Books) |-->
### Results on ECB+
<img src="/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F65e9ccd84ce78d665a50f78b%2F3c07se8JF5OCkXn0xxAnJ.png%26quot%3B%3C%2Fspan%3E alt="drawing" width="95%"/>
## xCoRe: Cross Context Coreference Resolution Defying recent trends
[]()
[](https://creativecommons.org/licenses/by-nc/4.0/)
[](https://pypi.org/project/xcore-coref/)
[](https://github.com/SapienzaNLP/xcore)
### Citation
This work has been published at [EMNLP 2025 main conference](https://aclanthology.org/2025.emnlp-main.1737/). If you use any part, please consider citing our paper as follows:
```bibtex
@inproceedings{martinelli-etal-2025-xcore,
title = "x{C}o{R}e: Cross-context Coreference Resolution",
author = "Martinelli, Giuliano and
Gatti, Bruno and
Navigli, Roberto",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.1737/",
pages = "34252--34266"
}
``` |