Papers by Imre Kiss
Active Learning for New Domains in Natural Language Understanding (N19-2)
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| Challenge: | Existing approaches to improve the accuracy of new domains are lacking annotated live utterances. |
| Approach: | They propose an algorithm called Majority-CRF that uses an ensemble of classification models to guide the selection of relevant utterances and a sequence labeling model to prioritize informative examples. |
| Outcome: | The proposed algorithm achieves 6.6%-9% error rate reduction and statistically significant improvements on six new domains. |