299 citations · 942 across the 23 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 84 cited
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu, Peng Zhou, Zhe Zhao +4
Pre-trained language representation models, such as BERT, capture a general language representation from large-scale corpora, but lack domain-specific knowledge. When reading a dom…
cs.CL2019★ 5 cited
UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao, Hui Chen, Jinbin Zhang +7
Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks. While there does not exist a single pre-training model that works best in all c…
cs.CY2019
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi +8
Recommender systems are one of the most pervasive applications of machine learning in industry, with many services using them to match users to products or information. As such it…