Snips деректер жинағы

AbstractWe propose a generative framework for joint sequence labeling and sentence-level classification. Our model performs multiple sequence labeling tasks at once using a single, shared natural language output space. Unlike …...

AbstractModern task-oriented dialog systems need to reliably understand users’ intents. Intent detection is even more challenging when moving to new domains or new languages, since there is little annotated data. …...

We propose a simple and effective few-shot model for slot tagging. Recent work shows that it is promising to extend standard few- shot classification methods to sequence label- ing with …...

AbstractSpoken language understanding, usually including intent detection and slot filling, is a core component to build a spoken dialog system. Recent research shows promising results by jointly learning of those …...