38 citations · 59 across the 6 of their papers we have counts for
4 papers · 2 filters
DisenE: Disentangling Knowledge Graph Embeddings
Xiaoyu Kou, Yankai Lin, Yuntao Li +4
Knowledge graph embedding (KGE), aiming to embed entities and relations into low-dimensional vectors, has attracted wide attention recently. However, the existing research is mainl…
WeChat Neural Machine Translation Systems for WMT20
Fandong Meng, Jianhao Yan, Yijin Liu +8
We participate in the WMT 2020 shared news translation task on Chinese to English. Our system is based on the Transformer (Vaswani et al., 2017a) with effective variants and the DT…
CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
Yusheng Su, Xu Han, Zhengyan Zhang +5
Several recent efforts have been devoted to enhancing pre-trained language models (PLMs) by utilizing extra heterogeneous knowledge in knowledge graphs (KGs) and achieved consisten…
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
Qiu Ran, Yankai Lin, Peng Li +1
Non-autoregressive neural machine translation (NAT) predicts the entire target sequence simultaneously and significantly accelerates inference process. However, NAT discards the de…