100 citations · 308 across the 28 of their papers we have counts for
4 papers · 1 filter
CNN-based Dual-Chain Models for Knowledge Graph Learning
Bo Peng, Renqiang Min, Xia Ning
Knowledge graph learning plays a critical role in integrating domain specific knowledge bases when deploying machine learning and data mining models in practice. Existing methods o…
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen, Guoyin Wang, Wenlin Wang +6
Many deep learning architectures have been proposed to model the compositionality in text sequences, requiring a substantial number of parameters and expensive computations. Howeve…
Learning Context-Sensitive Convolutional Filters for Text Processing
Dinghan Shen, Martin Renqiang Min, Yitong Li +1
Convolutional neural networks (CNNs) have recently emerged as a popular building block for natural language processing (NLP). Despite their success, most existing CNN models employ…
A Context-aware Attention Network for Interactive Question Answering
Huayu Li, Martin Renqiang Min, Yong Ge +1
Neural network based sequence-to-sequence models in an encoder-decoder framework have been successfully applied to solve Question Answering (QA) problems, predicting answers from s…