Kevin Huang

12 papers A* 3B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 A* conf
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.
AAAI
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
2021 — conf
Entity and Evidence Guided Document-Level Relation Extraction.
RepL4NLP@ACL-IJCNLP
Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang
2021 — conf
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks.
NAACL-HLT
Lingxiao Wang, Kevin Huang, Tengyu Ma, Quanquan Gu, Jing Huang
2020 J jnl
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling.
CoRR
Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang
2020 J jnl
Entity and Evidence Guided Relation Extraction for DocRED.
CoRR
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
2020 A* conf
Improving Neural Language Generation with Spectrum Control.
ICLR
Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu
2020 A* conf
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.
AAAI
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2019 B conf
Relation Module for Non-Answerable Predictions on Reading Comprehension.
CoNLL
Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Relation Module for Non-answerable Prediction on Question Answering.
CoRR
Kevin Huang, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents.
CoRR
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2019 J jnl
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification.
CoRR
Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou
2018 J jnl
ParaNet - Using Dense Blocks for Early Inference.
CoRR
Joseph Chuang, Eric Tsai, Kevin Huang, Jay Fetter