目录

• 1. Attention Is All You Need
• 2. Reinforcement Learning for Relation Classification from Noisy Data
• 3. Convolutional Sequence to Sequence Learning
• 4. Zero-Shot Relation Extraction via Reading Comprehension
• 5. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
• 6. Neural Relation Extraction with Selective Attention over Instances
• 7. Unsupervised Neural Machine Translation
• 8. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
• 9. A Structured Self-attentive Sentence Embedding
• 10. Dialogue Learning With Human-In-The-Loop

参考 2017年度最值得读的AI论文 | NLP篇 · 评选结果公布

1. Attention Is All You Need

2. Reinforcement Learning for Relation Classification from Noisy Data

3. Convolutional Sequence to Sequence Learning

4. Zero-Shot Relation Extraction via Reading Comprehension

5. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

6. Neural Relation Extraction with Selective Attention over Instances

7. Unsupervised Neural Machine Translation

8. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

9. A Structured Self-attentive Sentence Embedding

10. Dialogue Learning With Human-In-The-Loop