|
--- |
|
|
|
language: |
|
- en |
|
tags: |
|
- coreference-resolution |
|
license: mit |
|
datasets: |
|
- ontonotes |
|
metrics: |
|
- CoNLL |
|
task_categories: |
|
- coreference-resolution |
|
model-index: |
|
- name: biu-nlp/lingmess-coref |
|
results: |
|
- task: |
|
type: coreference-resolution |
|
name: coreference-resolution |
|
dataset: |
|
name: ontonotes |
|
type: coreference |
|
metrics: |
|
- name: Avg. F1 |
|
type: CoNLL |
|
value: 81.4 |
|
|
|
--- |
|
|
|
## LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution |
|
|
|
[LingMess](https://arxiv.org/abs/2205.12644) is a linguistically motivated categorization of mention-pairs into 6 types of coreference decisions and learn a dedicated trainable scoring function for each category. This significantly improves the accuracy of the pairwise scorer as well as of the overall coreference performance on the English Ontonotes coreference corpus. |
|
|
|
Please check the [official repository](https://github.com/shon-otmazgin/lingmess-coref) for more details and updates. |
|
|
|
#### Training on OntoNotes |
|
|
|
We present the test results on OntoNotes 5.0 dataset. |
|
|
|
| Model | Avg. F1 | |
|
|---------------------------------|---------| |
|
| SpanBERT-large + e2e | 79.6 | |
|
| Longformer-large + s2e | 80.3 | |
|
| **Longformer-large + LingMess** | 81.4 | |
|
|
|
|
|
### Citation |
|
|
|
If you find LingMess useful for your work, please cite the following paper: |
|
|
|
``` latex |
|
@misc{https://doi.org/10.48550/arxiv.2205.12644, |
|
doi = {10.48550/ARXIV.2205.12644}, |
|
url = {https://arxiv.org/abs/2205.12644}, |
|
author = {Otmazgin, Shon and Cattan, Arie and Goldberg, Yoav}, |
|
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, |
|
title = {LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution}, |
|
publisher = {arXiv}, |
|
year = {2022}, |
|
copyright = {Creative Commons Attribution 4.0 International} |
|
} |
|
``` |
|
|
