13 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.CL2019★ 13 cited
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Natural question generation (QG) aims to generate questions from a passage and an answer. In this paper, we propose a novel reinforcement learning (RL) based graph-to-sequence (Gra…
cs.CL2019
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Conversational machine comprehension (MC) has proven significantly more challenging compared to traditional MC since it requires better utilization of conversation history. However…
cs.CL2019★ 11 cited
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
Yu Chen, Lingfei Wu, Mohammed J. Zaki
When answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles. However, most existing embedding-based meth…