972 citations · 1.5k across the 9 of their papers we have counts for
9 papers
Self-Adaptive Hierarchical Sentence Model
Han Zhao, Zhengdong Lu, Pascal Poupart
The ability to accurately model a sentence at varying stages (e.g., word-phrase-sentence) plays a central role in natural language processing. As an effort towards this goal we pro…
Neural Responding Machine for Short-Text Conversation
Lifeng Shang, Zhengdong Lu, Hang Li
We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation. NRM takes the general encoder-decoder framework: it formalizes th…
CNN: A Convolutional Architecture for Word Sequence Prediction
Mingxuan Wang, Zhengdong Lu, Hang Li +2
We propose a novel convolutional architecture, named CNN, for word sequence prediction. Different from previous work on neural network-based language modeling and generation (…
Convolutional Neural Network Architectures for Matching Natural Language Sentences
Baotian Hu, Zhengdong Lu, Hang Li +1
Semantic matching is of central importance to many natural language tasks \cite{bordes2014semantic,RetrievalQA}. A successful matching algorithm needs to adequately model the inter…
Syntax-based Deep Matching of Short Texts
Mingxuan Wang, Zhengdong Lu, Hang Li +1
Many tasks in natural language processing, ranging from machine translation to question answering, can be reduced to the problem of matching two sentences or more generally two sho…
Context-Dependent Translation Selection Using Convolutional Neural Network
Zhaopeng Tu, Baotian Hu, Zhengdong Lu +1
We propose a novel method for translation selection in statistical machine translation, in which a convolutional neural network is employed to judge the similarity between a phrase…