26 citations · 38 across the 2 of their papers we have counts for
3 papers
cs.CL2020★ 12 cited
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
Peifeng Wang, Nanyun Peng, Filip Ilievski +2
Commonsense question answering (QA) requires background knowledge which is not explicitly stated in a given context. Prior works use commonsense knowledge graphs (KGs) to obtain th…
cs.CL2020★ 26 cited
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin +3
Existing work on augmenting question answering (QA) models with external knowledge (e.g., knowledge graphs) either struggle to model multi-hop relations efficiently, or lack transp…
cs.AI2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang, Jialong Han, Chenliang Li +1
Knowledge graph embedding aims at modeling entities and relations with low-dimensional vectors. Most previous methods require that all entities should be seen during training, whic…