Dialogue Systems
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use
·3802 words·18 mins
AI Generated
🤗 Daily Papers
Natural Language Processing
Dialogue Systems
🏢 University of Michigan
Teaching AI agents with diverse and informative language feedback dramatically improves their learning, generalization, and adaptability.
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
·2316 words·11 mins
AI Generated
🤗 Daily Papers
Natural Language Processing
Dialogue Systems
🏢 Computer Science and Engineering Department, IIT Kharagpur
This research introduces MLMCID, a novel pointer network architecture that excels at jointly extracting multiple intent spans and detecting multi-label, multi-class intents from complex, multilingual …