Yuyu Zhang

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding

2020

Recent studies on open-domain question answering have achieved prominent performance improvement using pre-trained language models such as BERT. State-of-the-art approaches typically follow the "retrieve and read" pipeline and employ BERT-based reranker to filter retrieved documents …

Variational Reasoning for Question Answering With Knowledge Graph

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …

Variational Reasoning for Question Answering with Knowledge Graph

2017 · arXiv (Cornell University)

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to further infer indirect facts. However, it is challenging …