Reading-List-of-Reinforcement-Learning-for-NLP

Reading List of Reinforcement Learning for NLP

1. Natural Language Generation

• Dialog System:

  • Deep Reinforcement Learning for Dialogue Generation
  • Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

• Summarization:

  • A Deep Reinforced Model for Abstractive Summarization

• Machine Translation:

  • Dual Learning for Machine Translation Code
  • Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation
  • Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback

• Simplification & Reformulation:

  • Sentence Simplification with Deep Reinforcement Learning Code
  • Task-Oriented Query Reformulation with Reinforcement Learning Code

2. Question Answering & Reading Comprehension

• Coarse-to-Fine Question Answering for Long Documents
• DCN+: Mixed Objective And Deep Residual Coattention for Question Answering

3. Information Extraction

• Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
• Learning to Win by Reading Manuals in a Monte-Carlo Framework

4. Others

• Reinforcement Learning for Relation Classification from Noisy Data
• Learning Structured Representation for Text Classification via Reinforcement Learning