Huibin Ruan — accepted AI-conference papers

2020

Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition

Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang

COLING 2020main

We tackle implicit discourse relation recognition. Both self-attention and interactive-attention mechanisms have been applied for attention-aware representation learning, which improves the current discourse analysis models. To take advantages of the two attention mechanisms simultaneously, we devel…

Cited by 28 Source ↗PDF ↗Scholar ↗

2020

Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification

Xiao Li, Yu Hong, Huibin Ruan, Zhen Huang

COLING 2020main

We tackle implicit discourse relation classification, a task of automatically determining semantic relationships between arguments. The attention-worthy words in arguments are crucial clues for classifying the discourse relations. Attention mechanisms have been proven effective in highlighting the a…

Cited by 11 Source ↗PDF ↗Scholar ↗