Guokun Lai

发表

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, EMNLP.

Learning Depthwise Graph Convolution from Data Manifold

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017 .

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, SIGIR.

Unsupervised Parallel Corpus Mining on Web Data pdf

Guokun Lai, Yiming Yang, Zihang Dai, 2020, ArXiv.

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

Guokun Lai, Yiqun Liu, Min Zhang, 2014, SIGIR.

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis

Guokun Lai, Yiqun Liu, Min Zhang, 2015, WWW.

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing pdf

Guokun Lai, Yiming Yang, Quoc V. Le, 2020, NeurIPS.

Large-scale Cloze Test Dataset Designed by Teachers pdf

Guokun Lai, Eduard H. Hovy, Qizhe Xie, 2018, ArXiv.

Large-scale Cloze Test Dataset Created by Teachers

Guokun Lai, Eduard H. Hovy, Qizhe Xie, 2017, EMNLP.

Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data pdf

Guokun Lai, Yiming Yang, Bohan Li, 2018, ArXiv.

Re-examination of the Role of Latent Variables in Sequence Modeling

Guokun Lai, Yiming Yang, Zihang Dai, 2019, NeurIPS.

Correlation-Aware Change-Point Detection via Graph Neural Networks

Yiming Yang, Wei-Cheng Chang, Guokun Lai, 2020, ICONIP.

Learning Depthwise Separable Graph Convolution from Data Manifold

Guokun Lai, Yiming Yang, Hanxiao Liu, 2017, 1710.11577.

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest

Guokun Lai, Ruohong Zhang, Luyu Gao, 2023, ArXiv.