Papers by Richa Arora
A Simple and Effective Approach to the Story Cloze Test (N18-2)
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| Challenge: | Existing approaches to the Cloze Test that use feature engineering to achieve high accuracy are ignoring the training set and training a model on the validation set. |
| Approach: | They propose a fully-neural approach to the Cloze Test using skip-thought embeddings of the stories in a feed-forward network that achieves close to state-of-the-art performance without any feature engineering. |
| Outcome: | The proposed approach achieves close to state-of-the-art performance on the Cloze Test without any feature engineering. |