output
20142016
most citedNeural Machine Translation with Reconstruction

60 citations

5 papers

cs.CL201530 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.CL201551 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…

cs.IT20142 cited

Non-Orthogonal Multiple Access for Degraded Broadcast Channels: RA-CEMA

Alberto G. Perotti, Branislav M. Popovic

A new non-orthogonal multiple access scheme performing simultaneous transmission to multiple users characterized by different signal-to-noise ratios is proposed. Different users ar…

cs.IT2014

Multi layer Gelfand Pinsker Strategies for the Generalized Multiple Access Channel

Mohammad Javad Emadi, Majid Nasiri Khormuji, Mikael Skoglund +1

We study a two-user state-dependent generalized multiple-access channel (GMAC) with correlated states. It is assumed that each encoder has \emph{noncausal} access to channel state…

cs.LG201414 cited

Large-Scale Multi-Label Learning with Incomplete Label Assignments

Xiangnan Kong, Zhaoming Wu, Li-Jia Li +4

Multi-label learning deals with the classification problems where each instance can be assigned with multiple labels simultaneously. Conventional multi-label learning approaches ma…