Papers by Kana Ikeuchi
Improving Spoken Language Understanding by Wisdom of Crowds (2020.coling-main)
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| Challenge: | Existing systems that use statistical approaches to improve spoken language understanding (SLU) lack of training data is an important problem, especially for new system tasks. |
| Approach: | They propose to use crowdsourcing and knowledge community websites to augment the spoken language understanding system by collecting paraphrasing variations for new system tasks and augmented them using similar questions from a knowledge community website. |
| Outcome: | The proposed architecture augmented more than 120,000 samples to improve accuracies even with small seed data. |