Papers by Olga Uryupina
Supervised Clustering of Questions into Intents for Dialog System Applications (D18-1)
Copied to clipboard
| Challenge: | Existing methods for detecting intents in text are task-specific and costly . current methods focus on manually analyzing user questions and creating a taxonomy of intents to be attached to the appropriate actions. |
| Approach: | They propose a model for automatically clustering questions into user intents to help design tasks . they use powerful semantic classifiers and supervised clustering methods based on structured output . |
| Outcome: | The proposed model improves on two intent clustering corpora on two languages/domains. |