sebswho / open-qa-resources

Personal collection of research resources on Question Answering

QA Resources

Here is my own collection of open question answering resources, including papers, datasets, code(if available). Particularly, my research projects focus on (1) question answering based on knowledge base; (2) question answering based on document retrieval; (3) knowledge graph. So the selected papers of this curated list may not lie beyond these topics.

MemNN

• Memory Networks. [Paper]
• End-To-End Memory Networks. [Paper]
• Large-scale Simple Question Answering with Memory Networks. [Paper]
• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. [Paper]
• Key-Value Memory Networks for Directly Reading Documents. [Paper][Code]

KBQA

• Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. [Paper][Code]
• Character-Level Question Answering with Attention. [Paper][Code]
• Question Answering on Freebase via Relation Extraction and Textual Evidence. [Paper][Code]
• CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. [Paper][Code]
• Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. [Paper]
• Simple Question Answering by Attentive Convolutional Neural Network. [Paper]
• Incorporating Copying Mechanism in Sequence-to-Sequence Learning. [Paper]
• Natural language question answering over RDF: a graph data driven approach. [Paper]
• Building Watson: An Overview of the DeepQA Project. [Paper]
• Neural Enquirer: Learning to Query Tables with Natural Language. [Paper]
• Neural Generative Question Answering. [Paper]
• Improved Neural Relation Detection for Knowledge Base Question Answering. [Paper]
• Question Answering with Subgraph Embeddings. [Paper]
• Open Question Answering with Weakly Supervised Embedding Models. [Paper]
• Joint relational embeddings for knowledge-based question answering. [Paper]

DBQA

• SQuAD: 100,000+ Questions for Machine Comprehension of Text. [Paper][Code][Data]
• TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. [Paper][Code][Data]
• NewsQA: A Machine Comprehension Dataset. [Paper][Code][Data]
• Reading Wikipedia to Answer Open-Domain Questions. [Paper][Code]
• Dynamic Coattention Networks For Question Answering. [Paper]
• Bi-Directional Attention Flow for Machine Comprehension. [Paper][Code]
• ReasoNet: Learning to Stop Reading in Machine Comprehension. [Paper]

Contribution

Please feel free to contact me if you find latest papers or their available code repository.