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README.md
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---
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language: en
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tags: lingmess-coref-v1
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license: mit
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---
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## LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
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[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.
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Please check the [official repository](https://github.com/shon-otmazgin/lingmess-coref) for more details and updates.
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#### Training on OntoNotes
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We present the test results on OntoNotes 5.0 dataset.
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| Model | Avg. F1 |
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|---------------------------------|---------|
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| SpanBERT-large + e2e | 79.6 |
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| Longformer-large + s2e | 80.3 |
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| **Longformer-large + LingMess** | 81.4 |
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### Citation
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If you find LingMess useful for your work, please cite the following paper:
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``` latex
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@misc{https://doi.org/10.48550/arxiv.2205.12644,
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doi = {10.48550/ARXIV.2205.12644},
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url = {https://arxiv.org/abs/2205.12644},
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author = {Otmazgin, Shon and Cattan, Arie and Goldberg, Yoav},
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
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title = {LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution},
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publisher = {arXiv},
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year = {2022},
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copyright = {Creative Commons Attribution 4.0 International}
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}
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```
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