15 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 5 cited
A Complex KBQA System using Multiple Reasoning Paths
Kechen Qin, Yu Wang, Cheng Li +4
Multi-hop knowledge based question answering (KBQA) is a complex task for natural language understanding. Many KBQA approaches have been proposed in recent years, and most of them…
cs.CL2019★ 15 cited
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin, Cheng Li, Virgil Pavlu +1
We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels, not a sequence. Previous such RNN models…
stat.ML2017★ 3 cited
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification
Bingyu Wang, Cheng Li, Virgil Pavlu +1
Multi-label text classification is a popular machine learning task where each document is assigned with multiple relevant labels. This task is challenging due to high dimensional f…