Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment (L18-1)
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| Challenge: | a method to improve the quality of training data is needed . annotation errors of dialog act corpus mislead learning results of Bayesian network . |
| Approach: | They propose to introduce a null hypothesis for predictability of textual entailment labels and test it using a Naive Bayes model. |
| Outcome: | The proposed method does not reject the null hypothesis, but it improves on the existing models. |
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