activity
20152023
most citedCoKE: Contextualized Knowledge Graph Embedding

70 citations · 142 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Improving Video Retrieval by Adaptive Margin

Feng He, Qi Wang, Zhifan Feng +4

Video retrieval is becoming increasingly important owing to the rapid emergence of videos on the Internet. The dominant paradigm for video retrieval learns video-text representatio…

cs.AI2019★ 70 cited

CoKE: Contextualized Knowledge Graph Embedding

Quan Wang, Pingping Huang, Haifeng Wang +6

Knowledge graph embedding, which projects symbolic entities and relations into continuous vector spaces, is gaining increasing attention. Previous methods allow a single static emb…

cs.CL2015★ 1 cited

Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics

Hui Yu, Xiaofeng Wu, Wenbin Jiang +2

The widely-used automatic evaluation metrics cannot adequately reflect the fluency of the translations. The n-gram-based metrics, like BLEU, limit the maximum length of matched fra…

cs.CL2015★ 9 cited

An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model

Hui Yu, Xiaofeng Wu, Wenbin Jiang +2

Most of the syntax-based metrics obtain the similarity by comparing the sub-structures extracted from the trees of hypothesis and reference. These sub-structures are defined by hum…

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★ 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…