Create README.md

README.md

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+---
+language: en
+tags: lingmess-coref-v1
+license: mit
+---
+
+## 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}
+}
+```