03_会议论文阅读列表 - RamonYeung/ZJU-NLP GitHub Wiki

Papers in top conferences of AI-related topics with potential interests.

Aim to provide the overview of research areas.

[ACL-2017] List

  1. Learning to Ask: Neural Question Generation for Reading Comprehension
  2. An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge
  3. Coarse-to-Fine Question Answering for Long Documents
  4. Gated Self-Matching Networks for Reading Comprehension and Question Answering
  5. Improved Neural Relation Detection for Knowledge Base Question Answering
  6. Reading Wikipedia to Answer Open-Domain Questions
  7. Search-based Neural Structured Learning for Sequential Question Answering
  8. Complex Question Answering by Reasoning over Open Information Extraction
  9. EviNets: Evidence Neural Networks for Combining Evidence Signals for Factoid Question Answering
  10. Group Sparse CNNs for Question Classification with Answer Sets
  11. Question Answering through Transfer Learning from Large Fine-grained Supervision Data
  12. Question Answering with Universal Schema and Memory Networks
  13. Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
  14. Reading Wikipedia to Answer Open-Domain Questions
  15. Fully Character-Level Neural Machine Translation without Explicit Segmentation
  16. Skip-Gram – Zipf + Uniform = Vector Additivity