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19982022
most citedConvolutional Neural Network Architectures for Matching Natural Language Sentences

972 citations · 1.4k across the 11 of their papers we have counts for

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Showing 2015 · cs.CLShow all

5 papers · 2 filters

cs.CL2015★ 213 cited

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…

cs.CL2015★ 11 cited

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 (…

cs.CL2015★ 972 cited

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…

cs.CL2015★ 30 cited

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…

cs.CL2015★ 51 cited

Encoding Source Language with Convolutional Neural Network for Machine Translation

Fandong Meng, Zhengdong Lu, Mingxuan Wang +3

The recently proposed neural network joint model (NNJM) (Devlin et al., 2014) augments the n-gram target language model with a heuristically chosen source context window, achieving…