Add table for results on GAP dataset (#418)

* Add table for GAP dataset results

* add GAP dataset results and update model names

english/coreference_resolution.md

@@ -27,11 +27,21 @@ CoNLL-2012 evaluation scripts. The main evaluation metric is the average F1 of t
 | Kantor and Globerson (2019) | 76.6 | [Coreference Resolution with Entity Equalization](https://www.aclweb.org/anthology/P19-1066/) | [Official](https://github.com/kkjawz/coref-ee) |
 | Fei et al. (2019) | 73.8 | [End-to-end Deep Reinforcement Learning Based Coreference Resolution](https://www.aclweb.org/anthology/P19-1064/) | |
 | (Lee et al., 2017)+ELMo (Peters et al., 2018)+coarse-to-fine & second-order inference (Lee et al., 2018) | 73.0 | [Higher-order Coreference Resolution with Coarse-to-fine Inference](http://aclweb.org/anthology/N18-2108) | [Official](https://github.com/kentonl/e2e-coref) |
-| (Lee et al., 2017)+ELMo (Peters et al., 2018) | 70.4 | [Deep contextualized word representatIions](https://arxiv.org/abs/1802.05365) | |
+| (Lee et al., 2017)+ELMo (Peters et al., 2018) | 70.4 | [Deep contextualized word representations](https://arxiv.org/abs/1802.05365) | |
 | Lee et al. (2017) | 67.2 | [End-to-end Neural Coreference Resolution](https://arxiv.org/abs/1707.07045) | |
 
 
 <a name="myfootnote1">[1]</a> Joshi et al. (2019): (Lee et al., 2017)+coarse-to-fine & second-order inference (Lee et al., 2018)+BERT (Devlin et al., 2019)
 
+### Gendered Ambiguous Pronoun Resolution
+
+Experiments are conducted on [GAP dataset](https://github.com/google-research-datasets/gap-coreference). 
+Metrics used are F1 score on Masculine (M) and Feminine (F) examples, Overall, and a Bias factor calculated as F / M.
+
+| Model           | Overall F1 | Masculine F1 (M) | Feminine F1 (F) | Bias (F/M) | Paper / Source | Code |
+| ------------- | :-----:| :-----:| :-----:| :-----:| --- | --- |
+| Attree et al. (2019) | 92.5 | 94.0 | 91.1 | 0.97 | [Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling](https://arxiv.org/abs/1906.00839) | [GREP](https://github.com/sattree/gap) |
+| Chada et al. (2019) | 90.2 | 90.9 | 89.5 | 0.98 | [Gendered Pronoun Resolution using BERT and an extractive question answering formulation](https://arxiv.org/abs/1906.03695) | [CorefQA](https://github.com/rakeshchada/corefqa) |
+
 
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