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Added new results on Story Cloze Test
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Paper accepted to ACL 2018
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liufly authored Jul 5, 2018
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Expand Up @@ -135,6 +135,7 @@ endings. The systems must then choose the correct ending to the story.
| Model | Accuracy | Paper / Source |
| ------------- | :-----:| --- |
| Finetuned Transformer LM (Radford et al., 2018) | 86.5 | [Improving Language Understanding by Generative Pre-Training](https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf) |
| Liu et al. (2018) | 78.7 | [Narrative Modeling with Memory Chains and Semantic Supervision](https://arxiv.org/abs/1805.06122) |
| Hidden Coherence Model (Chaturvedi et al., 2017) | 77.6 | [Story Comprehension for Predicting What Happens Next](http://aclweb.org/anthology/D17-1168) |
| val-LS-skip (Srinivasan et al., 2018) | 76.5 | [A Simple and Effective Approach to the Story Cloze Test](http://aclweb.org/anthology/N18-2015) |

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