1 citations · 2 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019
A simple discriminative training method for machine translation with large-scale features
Tian Xia, Shaodan Zhai, Shaojun Wang
Margin infused relaxed algorithms (MIRAs) dominate model tuning in statistical machine translation in the case of large scale features, but also they are famous for the complexity…
cs.IR2019
Plackett-Luce model for learning-to-rank task
Tian Xia, Shaodan Zhai, Shaojun Wang
List-wise based learning to rank methods are generally supposed to have better performance than point- and pair-wise based. However, in real-world applications, state-of-the-art sy…
cs.IR2019★ 1 cited
Analysis of Regression Tree Fitting Algorithms in Learning to Rank
Tian Xia, Shaodan Zhai, Shaojun Wang
In learning to rank area, industry-level applications have been dominated by gradient boosting framework, which fits a tree using least square error principle. While in classificat…