5 citations · 9 across the 3 of their papers we have counts for
4 papers
Exploiting Reasoning Chains for Multi-hop Science Question Answering
Weiwen Xu, Yang Deng, Huihui Zhang +2
We propose a novel Chain Guided Retriever-reader ({\tt CGR}) framework to model the reasoning chain for multi-hop Science Question Answering. Our framework is capable of performing…
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering
Weiwen Xu, Huihui Zhang, Deng Cai +1
Knowledge retrieval and reasoning are two key stages in multi-hop question answering (QA) at web scale. Existing approaches suffer from low confidence when retrieving evidence fact…
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
Feiliang Ren, Juchen Li, Huihui Zhang +4
Knowledge graph embedding is an important task and it will benefit lots of downstream applications. Currently, deep neural networks based methods achieve state-of-the-art performan…
Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms
Huihui Zhang, Wu Huang
In recent years deep neural networks have been successfully applied to the domains of reinforcement learning \cite{bengio2009learning,krizhevsky2012imagenet,hinton2006reducing}. De…