Paper List

  1. Transfer Learning for Sequence Labeling Using Source Model and Target Data

  2. Active Learning for Deep Semantic Parsing

  3. Zero-Shot Adaptive Transfer for Conversational Language Understanding

  4. (Almost) Zero-Shot Cross-Lingual Spoken Language Understanding

  5. NLU迁移学习调研

  6. Ordered Neurons：Integrating Tree Structures into Recurrent Neural Networks

  7. Cross-Lingual Transfer Learning for Task Oriented Dialog

  8. Data Augmentation for Spoken Language Understanding via Joint Variational Generation

  9. Neural Lexicons for Slot Tagging in Spoken Language Understanding

  10. Active Learning for New Domains in Natural Language Understanding

  11. An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

  12. Cross-lingual Transfer Learning for Japanese Named Entity Recognition

  13. Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding

  14. Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding

  15. Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging

  16. A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling