Latest

• A multi-task semantic decomposition framework with task-specific pre-training for few-shot ner
• Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA
• DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task
• Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT
• Revisit input perturbation problems for llms: A unified robustness evaluation framework for noisy slot filling task
• Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking
• A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition
• Generative zero-shot prompt learning for cross-domain slot filling with inverse prompting
• Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations
• Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition
• Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking
• PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
• A Robust Contrastive Alignment Method For Multi-Domain Text Classification