News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition

no code implementations • 4 Apr 2020 • Xiao Liu, He-Yan Huang, Yue Zhang, Changsen Yuan

Thanks to the use of attention over news events, our model is also more explainable.

Stock Prediction

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

no code implementations • 22 Dec 2018 • Changsen Yuan, He-Yan Huang, Chong Feng, Xiao Liu, Xiaochi Wei

Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be identified as a multi-instance multi-label problem.

Relation Relation Extraction +2